19 Burst results for "Sumo Logic"

Sumo Logic stock surges out of the gate with first trades 20% over the IPO price

Rick Hamada

00:10 sec | 2 months ago

Sumo Logic stock surges out of the gate with first trades 20% over the IPO price

"Company Sumo Logic getting a nice bump out of the gate as it makes its Wall Street debut with this first trade 20% above its initial offering price of 22 Bucks a share

Sumo Logic
Jfrog and Sumologic Set Initial IPO Prices Amidst Wave of Interesting Private Rounds

Equity

01:17 min | 2 months ago

Jfrog and Sumologic Set Initial IPO Prices Amidst Wave of Interesting Private Rounds

"There are new IPO filings from both Jay, frog and sumo logic to companies that filed in that great IPO wave of a few weeks back we have been tracking both companies impending debuts because we care a lot about them, their software companies, it's been venture capital money at play that puts them right in the very middle of what we care about here at tech rudge. So the news. To s a filings when it comes to developer focus J. Franck, it is going to target thirty seven dollars per share at the top end according to this initial range, of course, and could raise as much as four, hundred, ninety, two point, two, million dollars, and we did some very. Rough math this morning. So you know have the jobs. So in fact, check us but we believe could be worth as much as three point three, billion dollars at three seven dollars per share it not counting select shares reserved for its underwriting banks. Turned into sumo logic it will target twenty one dollars per share for an IPO that could be worth three, hundred, Fifty, seven, point, four, million. That's how much could raise in the debut and if you do all the math. It could be worth two point, one billion dollars again, not counting shares reserved for underwriters more of both of those to come on the site of course, but it's great to see those ideas moving forward making stores markets. It means we're not going to be bored for weeks. There's GonNa, be lots to talk about. So get excited

Sumo Logic JAY J. Franck Developer
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

08:30 min | 10 months ago

"sumo logic" Discussed on Software Engineering Daily

"I would closely related to Sim as much as I don't like the connotation that acronym generally has but I think in Sim. Sim Security in phone. Event Management Okay. Yeah but I think you could also compare like oh seeing the beginning. Most people use spunk in elastic. Search for this purpose so generally were compared against that but depending on where you folks in the product. So if you're looking at compliance features we get compared against cloud security vendors like red lock or even evident evident which you know was acquired by Palo Lotto it really depends on what the team is emphasizing. What they'll use the product for but for the primary purposes for doing log analysis in which case compared into traditional sims? Like God forbid you know if people are still using like these really really older Sims. But I'd say primarily people just build a semi top of spunk. That's usually like nine. Ten people are doing or I guess now. Sumo logic has a slightly easier platform than spunk does. But in my mind mind. They're so similar and does that differ from your product. The Panther log monitoring product because in the sumo logic or spunk world. They're hosting your logs. Also right like you're shoving your logs into their systems so the panther world is more decoupled right. Because you're not actually restoring them you're just running analysis over there logs and they may be able to just keep their logs in on their own cloud cloud servers right doesn't necessarily need to be exported or do understand the product. Yeah all explain it really quickly so I think with sumo logic they only we have a saas implementation. Sea shipping the logs. It lives in one of their server somewhere. And then they give you a log in where you can kind of go through. The data and spunk has a similar cloud offering. They think primarily due on prem. Stalled appointments. Were the data stays within the premise of the company. And that's the Z.. Model that Panther has so with Panther you would deploy within your one of your. Aws accounts generally our recommendation. Is You create a sub account in the deploy panther within within that. And then. That's the account where you tend all your security data to. That's the account that you would run the panther application itself. which will normalize the data make? Sure it's in the correct state state. Ill ill store in three and then it will. Do you know we can use that. Data for compliance we can use it for logging. We can also search over historically and that's really the area that we're going invest more in as well as like. How can we understand the data better so take me through the full data pipeline from like some event that hits and Application Service to the log message from that service being generated to the log message being stored or just shuttled through panther? I just want to understand the full data pipe litter. Yeah so from the source Let's just say that. We're looking at security focused applications. Meaning there's tools like Os query which is operating system level instrumentation and and always career. We'll tell you which users have installed on your system which programs you have installed like. What are some running processes? It'll just gives gives you any sort of generalized information and with these tools. Data can really be in any format so it could be Jason Data could be data could be some random custom format you know with the case of SIS log for example that could be literally whatever the administrator configures it to be so there can be a lot of challenges Andrea there but the first step in the pipeline is really just normalization taking the data and putting it all on Jason and the reason we have to do that is because of the rules they taken a event argument and then we write rules on it expects it to be in a certain format so we need to be normalized. I as JAS on then we can rules was on it. And then we can generate alerts the way the pipeline works is the data's generated it's aggregated it's put into something that's in the aws ecosystem whether it's a Q.. Hugh or an S. three bucket or can stream and you know the recommendation. We usually have is like probably easiest way to get all this done and most reliable. We'll just use US three. We pick it up from three. We normalize it and then we send through a series of pipelines like lambda functions. That eventually have it land into a different S. three bucket in the right format and then from there we do all our analysis on the data so we bash data we analyzed allies. Like let's say like a thousand lines at a time right and then any alerts are generated sends into different pipeline. And then maybe there's another fork of the pipeline that says okay. Let's let's use compliance. Let's scan and EC two instance and make sure that all of these little attributes. Are you know the right setting. And that's a common complaints workflows well and then you know if there's an issue there trigger another pipeline so like Byu Lambda that you can tell these really complex architectures but the data comes in normalized analyzed and then alerts send off and then someone gets a text or phone call on their phone they click a link it opens them into the Panther. Ui They can say okay. This alert was generated. This is the full log file and now we can go search our logs and find even more information. Listen and we're searching logs. The backend for that is you know is S. three and Athena and you know we're using these normalized allies logs that we set up to empower that pipeline. Can you give me an example of how customers use it. Like maybe a customer use case. That exemplifies why panthers US wall yeah so I would say on boarding any aws level log data and then immediately getting alerts from it. So let's say I was mentioning before we have a bunch of built-in rules to platform uh-huh and let's say they're already collecting their clinical data which is like a really common use case and everyone should be doing this so they do is they they would you know they were installed the panther application some account. They Will Linka S. three bucket to it and then we would start analyzing this three logs and then we could immediately tell you like oh this activities happening right. Now it's really from this point onward and then alternatively we can also use the same clock data to start to scan your infrastructure to say. Okay you actually have these five S. three buckets that you should look at right now as well. These are public buckets or they're not following the encrypted or or you know other configuration would wanNA check and that's kind of how the customer journey starts. It's like we feed in one day to source out of time. We see what alerts generated we tune the alerts and then we add more. And that's the pattern. We follow AIRBNB as well. We would start with some data we tune we would ride more rules who cover all these different use cases aces and then we'd move onto onboard in more and more and more data and the more data. We collect the more well rounded view that we have of everything the way I always explain. It is like you do cloud based environment data which is like your cloud trail or you're like infrastructure level logs and then you move down the stack to like network network logs. So you know layer three Netflix data or if you have layer seven full information on requests going certain websites and their arguments and cookies and all that more rich information and the moving down the stock further you have host level information so this is stuff like was this queries can be like databases the things that are running the applications which is the next level and then applications could be like your web application it could be like tools like Os was query or Santa which is a binary wireless tool that was developed by google. And you take all this context and then you put it into a single place. Listen then that's how you get the unified view of everything take. Apache Cassandra.

Sumo logic Jason Data Sim Security Palo Lotto Aws AIRBNB US Netflix Application Service Hugh google Athena Santa administrator Andrea
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

11:23 min | 11 months ago

"sumo logic" Discussed on Software Engineering Daily

"These sumo logic continuous intelligence report contains statistics about the modern world of infrastructure structure. Here are some statistics. I found particularly useful. Sixty four percent of the businesses in the survey were entirely the on Amazon web services which was vastly more than any other cloud provider or multi cloud or on Prem deployment that's a lot of infrastructure on aws. Another factoid. I found was that a typical enterprise uses fifteen. Aws Services and one in three enterprises uses aws. Lambda appears server. List is catching on. There are lots of other fascinating. Statistics in the continuous tenuous intelligence report including information on database adoption Cooper Netease and web server popularity go to software engineering daily dot Com sumo logic and download the continuous intelligence report today. Thank you to sumo logic for being a sponsor of software engineering daily Kevin Ball welcome software engineering daily. Hey Jeff good to be here. I'd like us to take a tour through the modern world of Java script and the place I'd like to start is es modules explained es module as well. Let's start by going back a little bit to talk about how modules in javascript sort of evolved over time so unlike some languages that start with this concept concept of code isolation modules and things like that javascript when it originated everything was in global scope. There was no concept of a module in separating things in pulling these out because it started as is a play language on the web and then as people started to do more serious software engineering with javascript. They wanted to use good practices like code isolation and things like like that and so initially there were a bunch of what you might call user space solutions to that folks who basically built up using the language as existed ways raced to create modules. That's where you get things like. AMD which was one of the the first sort of specifications you could call. It was essentially like once again user space space specification. If you write your code in this way it will work with this tooling and we can loaded dynamically you get nice isolation things like that over time the language which became more mature and folks started saying. Hey we should actually have a first class solution to this. The first thing we got to that was when no J. US came around and they said. Hey we're reading Service side packages. We need a way to do this. We're not going to be shipping stuff up to the browser. Were not an isolated. In the same way we don't have as as limited scope in the same way we're we're just gonNa make something happen and that was based more or less on. AMD and common jazz which is another sort of specification that came on that and that became the the defacto standard as node and require which is common approach and then it went up one more level and it said okay node while very very large and very popular and able to drive this defacto standard. That's not actually the language we need a language level solution for Howie encapsulated slate code and allow it to load in different ways and that was when. Es Modules kind of evolved so this is something coming down from the TC thirty nine specification community the script specification nation where this is how modules function in the language of Javascript as defined at the SPEC level. So it's no longer user space. This is actually baked into the language language and accessible. Now because it's the web and it's messy and all these other things there's been all these back and forth about okay. What about file extensions? How does this change different things? Because many of those defacto standards around node had built up lots of tooling and magic around the Senate in lots of ways that turned out to not actually work when you try to do them in cross environment situations like. How does this work browsers compared on a server? So there's a lot of stuff there that has really been getting hammered out and still coming in. But that that's the high level lizzy s modules are the language level. Now we're bringing it down into the actual specification solution to a problem. That's been solved in user space. For years there's a classic example of a module that we needed is J. Query right like J. Query is this big blob of things that we need out of our Java script infrastructure and historically we would just import it on a global basis and we would have it available to our entire Java script application and that was not perfect but it did the trick. What is wrong with that architecture? Why is it problematic to have a global variable? Why is it problematic architecturally global variable? I mean this is actually an interesting question. Because I think that's a lesson that gets over applied and it gets fought about a lot in the web world when you start talking about CSS which is still in many ways global in different ways the fundamental challenge with having having things that are global is. It's really easy to break them. If you're trying to pull in code from lots of different places that have perceptions options about what this thing is in. Is it going to be there or not going to be there and can I manipulate if there's just one than those things can mess with each other and break with each other and it especially if you look at the javascript ecosystem today. The trend is towards lots and lots of small packages the tooling rolling around packages and package installation dependency. Management is so good that people said why have large packages when it's just just as easy to do ten small packages than each one of those as a tiny surface area. I can test and do things. That ecosystem doesn't work if everything's global because if I'm installing a thousand packages it is and each one is depending on something global that they can actually mess around with and mess up very quickly. I'm going to end up being a territory where one of those is expecting one thing. The other one has already manipulated in some way and so it's not quite matching expectations. If you're going to be integrating different pieces of code where you don't control everything at which is fundamental to modern software development general right like old days you look back browser applications. They're relatively simple. They're small the entire code base can be owned owned by one person or one team whereas nowadays if you look at a modern web application look at your g mail or facebook or one of. He's really advanced products. They've got maybe half a million lines of Java script if each team that's working on that that's probably spread across five six ten twenty teams like if each one is able to muck with these variables. You'RE GONNA shoot each other in the foot real quick just to revisit what problem problem do. Es Modules solve. Yes Ma tools solve. How do I isolate code into its own package? Essentially whether it's within within a single application or package or an external one and reliably pull that into my own application or into another package to us. It's the same problem problem. That essentially like gems. It's actually. It's a little complicated because it's also how you do code imports so like you could think of a package. Any yes module is the equivalent of like even just importing code it built into the language of python or go or something like that where you can import code from one file Allie to another file that literally did not exist as part of the language before it was packed together with user space tools. That would sort of put that together for you right right. So it's this fundamental problem that most languages had built in from the start like you wouldn't imagine writing a python application where you couldn't import code owed from one file into another file but that was all user space solutions that wasn't part of the language prior to guess module why have. Es Modules been controversial. Well partly because they're in the web and the web. It's probably the I. I don't think it's out there to say that the web is sort of the widest and most diverse set of software. Stuff that exists right. Gets you have things that are running a distributed environment across every device known into man. You have no control over how this thing is running where this thing is running other than it in the browser and so people did all sorts of crazy stuff on top of you've got server side solutions javascript with node where you have that more traditional environment there were already solutions that existed there that had been built up that are subtly incompatible with yes modules. So you have the javascript. Language being specified by folks were mostly concerned about the web. They're mostly people coming from rob Browser companies thinking about that use case. And they're trying to build something that is also going to be utilized on the server where there are already subtly the different approaches being used. I think they're also just missteps along the way there were you'll waste of people trying to make them kind of different aren't than just being javascript. So there is an introduction of okay. We're GonNa tell what the module and what's not by having different file extension and that was problematic because in the node world where where people were mostly thinking about packages like everything is just file extension. It deals with do that for you. Don't even have to include it file extension because note. Has this magic about looking up. Is it here is it there. And what have you so it you created these situations where you had had could have discrepancies. From the way people were used to thinking about the world one other aspect that I think is worth bringing up here is pretty interesting in also relates to why EH. US modules have been very controversial is in the Java script world. We've gotten used to using features before they are fully specified because there is incredible tooling that essentially allows you to transport within the language so you can extend javascript at new functionality and transparent trans pilot back to older functionality. The tooling for this is called babble. And it's a transporter and the original use case was okay browsers. Thor's are slow to update and in fact looking back five years many of them did not automatically update so a user had to go and actually do something to update their browser which meant that even though Oh javascript was moving forward in adopting features that were valuable turn bringing it from being a toy language into a first world are high productivity extremely powerful language. You couldn't write code in that way and run it on those little browsers unless you had a way to translate that new tax in this new code back discipline. Those browsers could understand so John Has Gotten used to using features and compiling them back to older browsers now. This meant that when people started talking about Yes yes modules and they said Hey. This is a really cool syntax. We're GONNA do this. They could use it before it ever got specified or built into any platform. It was not built in any browser. It was not built in to not at all and people started using it by using babble to Trans file it and using web pack to and.

sumo logic AMD Aws Services Amazon Cooper Netease Kevin Ball J. Query Jeff good facebook Howie TC rob Browser Senate Thor US
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

11:23 min | 11 months ago

"sumo logic" Discussed on Software Engineering Daily

"These sumo logic continuous intelligence report contains statistics about the modern world of infrastructure structure. Here are some statistics. I found particularly useful. Sixty four percent of the businesses in the survey were entirely the on Amazon web services which was vastly more than any other cloud provider or multi cloud or on Prem deployment that's a lot of infrastructure on aws. Another factoid. I found was that a typical enterprise uses fifteen. Aws Services and one in three enterprises uses aws. Lambda appears server. List is catching on. There are lots of other fascinating. Statistics in the continuous tenuous intelligence report including information on database adoption Cooper Netease and web server popularity go to software engineering daily Dot Com sumo logic and download the continuous intelligence report today. Thank you to sumo logic for being a sponsor of software engineering daily Kevin Ball welcome software engineering daily. Hey Jeff good to be here. I'd like us to take a tour through the modern world of Java script and the place I'd like to start is es modules explained es module as well. Let's start by going back a little bit to talk about how modules in javascript sort of evolved over time so unlike some languages that start with this concept concept of code isolation modules and things like that javascript when it originated everything was in global scope. There was no concept of a module in separating things in pulling these out because it started as is a play language on the web and then as people started to do more serious software engineering with javascript. They wanted to use good practices like code isolation and things like like that and so initially there were a bunch of what you might call user space solutions to that folks who basically built up using the language as existed ways raced to create modules. That's where you get things like. AMD which was one of the the first sort of specifications you could call. It was essentially like once again user space space specification. If you write your code in this way it will work with this tooling and we can loaded dynamically you get nice isolation things like that over time the language which became more mature and folks started saying. Hey we should actually have a first class solution to this. The first thing we got to that was when no J. US came around and they said. Hey we're reading Service side packages. We need a way to do this. We're not going to be shipping stuff up to the browser. Were not an isolated. In the same way we don't have as as limited scope in the same way we're we're just GonNa make something happen and that was based more or less on. AMD and common jazz which is another sort of specification that came on that and that became the the defacto standard as node and require which is common approach and then it went up one more level and it said okay node while very very large and very popular and able to drive this defacto standard. That's not actually the language we need a language level solution for Howie encapsulated slate code and allow it to load in different ways and that was when. Es Modules kind of evolved so this is something coming down from the TC thirty nine specification community the script specification nation where this is how modules function in the language of Javascript as defined at the SPEC level. So it's no longer user space. This is actually baked into the language language and accessible. Now because it's the web and it's messy and all these other things there's been all these back and forth about okay. What about file extensions? How does this change different things? Because many of those defacto standards around node had built up lots of tooling and magic around the Senate in lots of ways that turned out to not actually work when you try to do them in cross environment situations like. How does this work browsers compared on a server? So there's a lot of stuff there that has really been getting hammered out and still coming in. But that that's the high level lizzy s modules are the language level. Now we're bringing it down into the actual specification solution to a problem. That's been solved in user space. For years there's a classic example of a module that we needed is J. Query right like J. Query is this big blob of things that we need out of our Java script infrastructure and historically we would just import it on a global basis and we would have it available to our entire Java script application and that was not perfect but it did the trick. What is wrong with that architecture? Why is it problematic to have a global variable? Why is it problematic architecturally global variable? I mean this is actually an interesting question. Because I think that's a lesson that gets over applied and it gets fought about a lot in the web world when you start talking about CSS which is still in many ways global in different ways the fundamental challenge with having having things that are global is. It's really easy to break them. If you're trying to pull in code from lots of different places that have perceptions options about what this thing is in. Is it going to be there or not going to be there and can I manipulate if there's just one than those things can mess with each other and break with each other and it especially if you look at the javascript ecosystem today. The trend is towards lots and lots of small packages the tooling rolling around packages and package installation dependency. Management is so good that people said why have large packages when it's just just as easy to do ten small packages than each one of those as a tiny surface area. I can test and do things. That ecosystem doesn't work if everything's global because if I'm installing a thousand packages it is and each one is depending on something global that they can actually mess around with and mess up very quickly. I'm going to end up being a territory where one of those is expecting one thing. The other one has already manipulated in some way and so it's not quite matching expectations. If you're going to be integrating different pieces of code where you don't control everything at which is fundamental to modern software development general right like old days you look back browser applications. They're relatively simple. They're small the entire code base can be owned owned by one person or one team whereas nowadays if you look at a modern web application look at your g mail or facebook or one of. He's really advanced products. They've got maybe half a million lines of Java script if each team that's working on that that's probably spread across five six ten twenty teams like if each one is able to muck with these variables. You'RE GONNA shoot each other in the foot real quick just to revisit what problem problem do. Es Modules solve. Yes Ma tools solve. How do I isolate code into its own package? Essentially whether it's within within a single application or package or an external one and reliably pull that into my own application or into another package to us. It's the same problem problem. That essentially like gems. It's actually. It's a little complicated because it's also how you do code imports so like you could think of a package. Any yes module is the equivalent of like even just importing code it built into the language of python or go or something like that where you can import code from one file Allie to another file that literally did not exist as part of the language before it was packed together with user space tools. That would sort of put that together for you right right. So it's this fundamental problem that most languages had built in from the start like you wouldn't imagine writing a python application where you couldn't import code owed from one file into another file but that was all user space solutions that wasn't part of the language prior to guess module why have. Es Modules been controversial. Well partly because they're in the web and the web. It's probably the I. I don't think it's out there to say that the web is sort of the widest and most diverse set of software. Stuff that exists right. Gets you have things that are running a distributed environment across every device known into man. You have no control over how this thing is running where this thing is running other than it in the browser and so people did all sorts of crazy stuff on top of you've got server side solutions javascript with node where you have that more traditional environment there were already solutions that existed there that had been built up that are subtly incompatible with yes modules. So you have the javascript. Language being specified by folks were mostly concerned about the web. They're mostly people coming from rob Browser companies thinking about that use case. And they're trying to build something that is also going to be utilized on the server where there are already subtly the different approaches being used. I think they're also just missteps along the way there were you'll waste of people trying to make them kind of different aren't than just being javascript. So there is an introduction of okay. We're GonNa tell what the module and what's not by having different file extension and that was problematic because in the node world where where people were mostly thinking about packages like everything is just file extension. It deals with do that for you. Don't even have to include it file extension because note. Has this magic about looking up. Is it here is it there. And what have you so it you created these situations where you had had could have discrepancies. From the way people were used to thinking about the world one other aspect that I think is worth bringing up here is pretty interesting in also relates to why EH. US modules have been very controversial is in the Java script world. We've gotten used to using features before they are fully specified because there is incredible tooling that essentially allows you to transport within the language so you can extend javascript at new functionality and transparent trans pilot back to older functionality. The tooling for this is called babble. And it's a transporter and the original use case was okay browsers. Thor's are slow to update and in fact looking back five years many of them did not automatically update so a user had to go and actually do something to update their browser which meant that even though Oh javascript was moving forward in adopting features that were valuable turn bringing it from being a toy language into a first world are high productivity extremely powerful language. You couldn't write code in that way and run it on those little browsers unless you had a way to translate that new tax in this new code back discipline. Those browsers could understand so John Has Gotten used to using features and compiling them back to older browsers now. This meant that when people started talking about Yes yes modules and they said Hey. This is a really cool syntax. We're GONNA do this. They could use it before it ever got specified or built into any platform. It was not built in any browser. It was not built in to not at all and people started using it by using babble to Trans file it and using web pack to and.

sumo logic AMD Aws Services Amazon Cooper Netease Kevin Ball J. Query Jeff good facebook Howie TC rob Browser Senate Thor US
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

09:46 min | 11 months ago

"sumo logic" Discussed on Software Engineering Daily

"Cold start. Or you're basically saying that the cold start problem was not as much of a cold start when people were more focused on virtual server infrastructure structure because those vm's were longer lived than the containers. Seems absolutely I think back in the day. Beams that run for a longer period of time people tended to launch a machine and make use of it. They wouldn't thinking about this idea of washing machines and shut them down. We didn't need them anymore. I remember the first time I saw a customer. Really do that at scale. I I believe was back in two thousand and eight remembered was Thursday and there was there. Was this company called Moto. Do you remember them. Down the AMI demote any motor and they had this thing basically I think it was you point them at your facebook stream and they would generate like a video of your your music with crazy graphics ethics as you've there's this cool little gimmick and it was a Thursday afternoon because I remember this sort of doing this thing where they would launch a new instance every movie that somebody subscribed to and they went viral and and suddenly saw this massive spike of launches easy to and we. We kept it up. But I wouldn't say there was a number of behind the scenes making sure that the early easy to it wasn't I'm good a full of increase. They were spinning up. A new VM. For each video for each way which I think we later found out it was actually a bug in their code but that was the first title we actually saw this idea of. He'd literally was very little capacity to thousands and thousands of machines suddenly starting up for the first time we saw it. Obviously we've seen begins for short periods of time. And then you get the Solis and the cold start saying you want those lambda functions to start up instantaneously. And so we've been working a lot as EC two do with the Landau team the secret. We shouldn't tell anyone but service actually has a server behind the scenes and that sort of lambda is easy too so we've been working with them to solve the problem a ministry to things we had to do was give them a hyper visor. That has a very very fast start time. And that was firecracker which actually ended up open source seen as well so you can go look at Clark record out there. And it's really designed to be incredibly lightweight giving the same security boundaries that we have with the NITRO VM. which is something we've never compromised on? We'll never compromised on the boundary between customers. Never want to take any chances there but can start up a VM. And a couple hundred milliseconds hundred two hundred milliseconds of time so that that's all one part of the problem of lander. The other part of the problem was for customers using BBC with Manda. How quickly can Einstein state the networking resources? How does it take to attention John? I for example and so we've done some work with the team to get that down to a couple of milliseconds as well and so I believe landers. They've announced and they've all done to most of the fleet. So the the solution to cold spot and slammed two functions ousting foster and supporting those vary ephemeral closed the game. which is where the wills? So how does the firecracker occur based vision for service infrastructure compared to and. I don't know if you're familiar with this stuff. But the K.. Native suite of projects from coober netease community so. I don't know too much about Canada but we have been working a lot with a number of those vendors so what happened with with firecrackers. Is We both firecracker and we did use a number of those tools and k native the name of the other one. I'm looking at right now. Remember shortly but we ended up launching and it was largely reinvent last year it was is actually the the the the number one guitar project for two days and so it's pretty pretty insane. We couldn't believe that end. It just showed that the desire and the community was something in that space right and so we've been very excited to contribute their from an open source point of view and some firecrackers team which is actually based in Bucharest Romania. An amazing team up here that both firecracker they've been very engaged in the community and so a lot of those teams are working together on K.. Natives involved but then we've also got another project called recipe on 'em uh-huh which is sort of building a vm. Management system unrest. Which you've already? Let's rush at the moment and so there's a lot of engagement there and again it's a you know what these officers probably just being. Really great is sort of the whole. Competitiveness is kind of goes out the window and it's all community coming together and saying. Hey what can we actually. Will you know whether it's ourselves without providing any of the other the clock provided so any of the other chip manufacturers. And that's what's coming together and working on that project and so it's early days or that stuff from excited to see where it goes does firecracker hard dependencies on specific hardware. So I don't believe so I was here at the moment. They believe. We've just finished one running on so that's an extra six processor. And it needs to be a hyper visor to run on metal on so you can run it on a lot of customers that went on. EC Two mental today. There's customers that run it themselves on any other way that they'd like to use you know we've had people even look at us in like small devices embedded devices and things like that it is very very lightweight and save you need in sort of environment something different okay. So the workflow for using a firecracker instance is or for using firecracker ker you spin it up on an EC two instance and then you spin up your own server infrastructure on top of it or are you spending up aws lamm does on top of it. Can you help me understand what the workflow is so the way that it works with. Lambda is lambda uses firecracker. But you don't actually see director. Lambda us uh-huh interfaces talking to lambda starting up a creative function and then executing the function wetlands behind the scenes is they taking a mental easy to instance and they're installing firecracker onto that instance. And didn't they manage firecracker is if it was a VM. And so much the same way you would have done with then they creating the necessary. Three COM VM. Instances containers. Whatever you WANNA call them votes within firecracker and so they could put thousands of pipe? Machines Service instances on that physical machine and each one of those tied to a customer function. And so when the function executes attorney inside they'd Firecracker Vm. And so that's how you would manage it if you ran for yourself. You downloaded from get hub and then install it on the machine. As a as a hyper visor. Much the same way as in does interact with the cricket. Instead of the is the lady create images and then instances and use it as okay. So firecracker is a hyper visor. Yeah okay got it. What went into the design that allowed allowed you to spin up images faster and reduce the cold start problem? What were you able to strip away? Or what kind of performance areas were you able to improve Gregor. It's it's making it incredibly light weight right and in reducing the number of devices that you actually one of the charges. USB You probably know USB printer what happens a lot of these hyper vices they emulate pretty much device. That's been out there in the podcast right to look at what was happening Zan Mangku. It's just a math. A Lotta time in the emulation a number of other optimizations as well. I don't know the details on all of them but thirty stripping that away and getting it to boot and then obviously making sure that the image building can also be started up very very quickly and so thinking about the operating system. And what were you bring into memory there. The other side of it was just making sure that the network performs a lot faster and at the state of BBC's being pushed out a loss to and that got us down into the sub second time range will coleslaw times on them so that seems like a really good approach approach to the cold start. There's also an approach. I've heard some people talk about where you pre load or pre warm a bunch of containers with like no Oh J. S. or with python on it so as soon as the workload comes in that requires python on a container. Then you can just schedule that workload onto the container that's pre filled with python and boom. You know you run it really quickly. Do you think that's also a viable approach to reducing the cold. Start suddenly approach. We've we've looked at and we've we've definitely don't pre warming in other parts of Easy to in. Aws Right so they're number services that cooper services so there's an use them It depends a lot on a couple things I think about their one is the cost and so does your premium pool need to be all right. Because you're essentially keeping capacity around that you might use at some point in the future you want to have enough capacity because when you don't have capacity in Fremont Pool you end up with the slowest time with these in that model but if you have too much Cabestan the people in Pool. You're spending money that you shouldn't be spending. That's one of the things. The other one is from a security point of view. Where's the security boundary when you when you have a pretty warm pool scooby? Nothing that premium pool that you wouldn't want to give any custom and so when you spend that machine blake is ready for that customer or is it a pre one pool and then allocated to a customer. You also think about whether you account boundary so you can't move a machine between accounts since a you know if you do have a service where each uses different. Aws accounts does it work in that and so there are a number number of things that many services are views pre one of the teams that's in my organization as they let go balancing team as well and they had US pre warming we've used premium elastic. Load balancing some of our other tosses where it runs. EC Two and when we need to have a new machine on your note for the advanced be able to pull it from our preamble and then you really avoid the boot time to able to get another machine into service look cluster. So there's definitely places we've used that very effective in shock. Customs duty as well as businesses become more integrated with their software than ever before it has become possible to understand the business business more clearly. Through monitoring logging and advanced data visibility. Sumo logic is a continuous intelligence platform that it builds tools for operations security and cloud native infrastructure the company has studied.

Aws BBC facebook Sumo logic coober netease Fremont Pool Bucharest Romania Solis Landau landers Clark US John blake Canada Zan Mangku director
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

14:27 min | 1 year ago

"sumo logic" Discussed on Software Engineering Daily

"Every practitioner all day showed to definitely pay attention to But let me continue in the you know since since you wanted to hear more point point number three and this is something that anybody who goes to. Aws Reinvent eight abuses big show will definitely relate to so we all go to aws reinvent Vanden heroes aws announcing you know yet another fifteen services or twenty services for that matter are pushing the envelope of all the stuff that you can do in Aws Louis. Oh so there's always this question took aws as relentless engine that is that is pushing innovation every year. How many people do adopt these these these new services that are coming at such a fast clip from? Aws Right so looking at our data would be the alleges that when it abuse is indeed pushing yard a lot of innovative capabilities. The core services that are adopted I many of these. Aws customers are still very limited right or find out is that had on average and this is looking at you know over fifteen hundred customers afire who are using aws on average we see that only fifteen of these. He's one hundred and fifty eight of Louis. Oh bases are are really adopted by and large plethora of these customers right so customers go blew us. You know this is sort of the hypothesis coming out of this. Data does data point. Is that customers like the innovation pace at aws. Customers liked the the fact that aws is pushing the envelope when it comes to you know releasing new capabilities providing new services to enterprises but then the vast vast majority of them are still in the early phases still in the innings to three if So to speak of adopting these services beside a few customers are few enterprises as you say who have adopted many many many aws services but those are far and few in between a large majority of these of these customers end end up going to aws for their infrastructure as a service platform the EC to service the s three in the cloud formation. The the Ardi as and and the I am identity management services and are cutting their teeth at these basic services. You know the fact that. AWS offers all these. He's cutting services obviously is a is a good carrot and a good icing on the cake But the majority of the customers are still using just a quarter of the cake at this point point number four. Let's talk about so we're less and everybody is talking about sober. Less over less is being proclaimed as the as the next programming paradigm. That's going to change everything about the cloud and systems and how you used systems and would fear starting to see is that at least in the aws environment right So let's has has reached a tipping point would be aws as civilised implementation is called lambda. And what we see is that lambda adoption as indeed grownup dramatically. The last few years in twenty seventeen which was the second diarrhea. Were doing this report. We saw the put option of lambda right now. Twenty nine thousand nine. We we see almost thirty. Six percent. Adoption of lambda means one in three enterprises that are running now applications in aws today are using lambda lambda or sober less in some way shape or form so that is An interesting data point you know and I think that sort of tells you that people are really elite experimenting and deploying an implementing solar technologies that are at a much faster clip. Now I I do have one last point and and this is sort of Switching gears for more the architecture do. Let's say talking about security technologies within within the cloud so Jeffrey I'm sure you must have heard that security. The and cloud security is perhaps the number one obstacle or blocker or challenge as enterprises thing of adopting cloud and and there are some some do it. I mean you know enterprise sock teams are used to seeing the infrastructure. They used to coming their infrastructure. The US to seeing it in their in their data center so so that you know that that gives them the comfort of of their data being secure within the confines of that Data Centre her and now moving everything to the cloud may does bring up. These concerns that maybe my data is in a place that I don't control and you know what happened security then so what we are starting to see is that again. This is within the purview of AWS. A lot of the enterprises that are deploying their applications applications in the cloud and in aws are starting to use many of the services that aws offers in order to Specter Secure their their applications in the cloud so aws has these these interesting technologies rattler. A few names here. Scott Cloud trail cloud clouds drizzle. Think of it as providing the you know who walked when where how off axis of API's and services within AWS AWS asu offers repeatedly flow logs. which gives you visibility into? Who is accessing your systems? AWS has a new technology. Call Guard duty beauty. which provides you visibility into the the security state of your aws applications and what we are starting to see is that you know many knees similar logic customers or deployed in aws are using these services and are using these At a fairly significant rate so so that gives us confidence incidence that enterprises are indeed paying attention to security as they are moving to the cloud they are. They're building in the right capabilities. They are you know using the right services that are offered by cloud platform vendors themselves and all of this obviously a portends wealth for applications that are running in the cloud So sock names. You know if there's anything that you should take away from this podcast. Is that in security in the cloud is a little different but but it is. You know it's definitely doable. And there are all right capabilities available from vendors like aws auto from vendors third party vendors like some logic that can ensure the security of your apps and infrastructures in the cloud. I assume you've you've been to reinvent absolutely we'd go to arraignment. There's a big contingent engines of similar logic folks who got arraignment every year. So I'm going for the first time this year and just after seeing pictures and hearing stories it sounds completely overwhelming advice. I surviving reinvent man hydrate hydrate hydrate and and get out every every now and then From from the boots and from the from the session. So what can I tell you how about that. But then you know that Las Vegas has a whole you know. Reinvent has become the technology Mecca to be and to go to. You know. I'm dating myself here but I is it more more so than. CAS At this point. See yes is a different kind of show right. Jeffrey says he is a bit more consumer oriented. You know. I'm sure if you are selling. The latest style is not gadget or a phone. You know I see yes on 'em. WC The show in Barcelona is best. Perhaps a show to be at if you're doing B. Two B. Applications if you are targeting anybody who is in the devotee deb. OPS was a a site reliability engineer or perhaps Stephen a security person relentess is definitely the place to be the vibe in that place. The energy in that plays this off the charts heralds. What's the where technology is today and technology is headed for the next few years? You know rightly or wrongly. Aws is the eight thousand pound gorilla in the cloud. Space the building cool staff. They have some amazing customers. It's a it's sound like an advertisement for aws but the company does it really innovate well similar logic who was deployed in aws. We liked innovation that they bring to the it world and we like what our customers are able to do on on native Wegelius to ensure is amazing. Amazing I think is a sign of of what Amazon does right that it's like as a byproduct of the the accidental business that they created with aws they created like a billion dollar conference industry. Yeah I mean what is it I I hear that are on the run rate of twenty five billion. Whatever right now so reinvent I meant? Aws as business itself. I no I I don't know what the the actual revenue Magin. It's pretty profitable. Oh my mom was certain. It's it's profitable given the number of vendors like like ourselves who are there and the amount of money that we spend in demonstrating getting boots you know sending people to that event. I'm I'm I'm sure it's a profitable venture for the blues but look I mean at the end of the day right. I mean this is a place where where you meet the people who are building your connection APPs right by the fender guitar player who is building their APPs on there the next gen mobile APP on. Aws whether it's AIRBNB AIRBNB whether it's neck flakes or whether it's a tiny little company that's You know with like three guys in a garage today. Nobody would question you if you were to put theocratic card and build your first on us. So it'll be as hats and reinvent has become the show to to go to see what's going on in the in the the. It world for sure as we begin to wrap up a few higher level subjects. I WANNA discuss so the changing usage prototype of a log management system around observability system. We touched on this a little bit earlier but the fact that today not only do you have engineers and operations nations people working with your log management tool your metrics tool we have data scientists. You have customer service people bowl of product managers. You might have marketing people. As he's different constituencies want access to this logging data or maybe they want access to the post processed log metrics. How does that change the interface and has it changed the product design nine? That's a good question rear in early. I would say you know phases of understanding it ourselves but but I think what's similar Dick is starting to see is that you know in many organizations in our customers are not just the typical people right. I mean the SR is in the people who are on the security people who product people like exactly like you said or customer support people who may not have the sophisticated understanding of our curry. The language may not have the ability to create dashboards An alert and and other things that you know you would. You would take for granted if you're someone who lives in breeze. He's within the similar logic system. So what is starting to see more and more off as two modes of operation one is this notion of what I call is template iced iced offers right where I as an administrator of the product or as an expert user of the product. I met template ties What I may I want to do in the product and then expose a few very simple to configure things within my product and then offer it to a larger swath of if users so for example? Imagine if I have. Let's say three hundred customer support people and you know I need to support the customer support people and they need to look into sumo logic system. Every time somebody called with the problem they need to look up an ID and daddy need to see what's what's wrong with the product or the of the system at that point rather than expose the similar logic query language to do all of these people who I'm sure They come with in a different knowledge and different skills at what be condemn do is offered. A template is Interface or dashboard. But all you have to do is drop the product. Id and then you drop the product idea you know you are the customer and you get all the details about the the customer. that product used product the logs from the product the editors and the D. Bugs and the warning messages the product itself. So so this template is offering essentially in some sense simplifies. I don't want to use the word dumps because that has a pejorative meaning to it but at least simplifies the access and the analytics that these non-experts can also get from our product. The other approach that I will see you know and then from product. What is the ability for us to export Data from product into other systems so we have customers who explored our data into into Pablo into clack into Lucre. You know so that they can start to slice and dice data in somewhat different ways which may would be more in line with what these personas may be used to and mail to want to see it and end of the day. We own the business of getting insights from data and the extend that you know that are better than other systems that can perhaps do some of the stuff we have more than happy to export this data to integrate those Danine to other the systems. We also see some of data science customers. You know US notebooks and decimal logic as a simple interface to export or data into data data. Science notebooks there you can do other forms of analysis on this data which may not be core discipline logic which on the focus of some logic itself so look at the end of the day right. I mean you've been in the business of getting best insights from our data for customers and we'll do our utmost to make that happen. I want to thank you for coming in software engineer. Dale it's been great talking to you. Thank you very much. Jeffrey take.

Aws AWS Jeffrey I Scott Cloud diarrhea Data Centre Louis US sumo logic asu software engineer Pablo Stephen Las Vegas reliability engineer Vanden heroes
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

09:10 min | 1 year ago

"sumo logic" Discussed on Software Engineering Daily

"Which provides you visibility into the the security state of your aws applications and what we are starting to see is that you know many knees similar logic customers or deployed in aws are using these services and are using these At a fairly significant rate so so that gives us confidence incidence that enterprises are indeed paying attention to security as they are moving to the cloud they are. They're building in the right capabilities. They are you know using the right services that are offered by cloud platform vendors themselves and all of this obviously a portends wealth for applications that are running in the cloud So sock names. You know if there's anything that you should take away from this podcast. Is that in security in the cloud is a little different but but it is. You know it's definitely doable. And there are all right capabilities available from vendors like aws auto from vendors third-party vendors like some logic that can ensure the security of your apps and infrastructures in the cloud. I assume you've you've been to reinvent absolutely we'd go to arraignment. There's a big contingent engines of similar logic folks who got arraignment every year. So I'm going for the first time this year and just after seeing pictures and hearing stories it sounds completely overwhelming advice. I surviving reinvent man hydrate hydrate hydrate and and get out every every now and then From from the boots and from the from the session. So what can I tell you how about that but then you know that place. Las Vegas has a whole you know reinvent has become the technology Mecca to be and to go to. You know. I'm dating myself here but I is it more more so than. CAS At this point. See yes is a different kind of show right. Jeffrey says he is a bit more consumer oriented. You know. I'm sure if you are selling. The latest style is not gadget or a phone. You know I see yes on 'em. WC The show in Barcelona is best. Perhaps a show to be at if you're doing B. Two B. Applications if you are targeting anybody who is in the devotee devops was a a site reliability engineer or perhaps Stephen a security person relentess is definitely the place to be the vibe in that place. The energy in that plays this off the charts heralds. What's the where technology is today and technology is headed for the next few years? You know rightly or wrongly. Aws is the eight thousand pound gorilla in the cloud. Space the building cool staff. They have some amazing customers. It's a it's sound like an advertisement for aws but the company does it really innovate well assimilated who was deployed and aws. We liked the innovation that they bring to the it world and we like what our customers are able to do on on Wegelius to ensure is amazing. Amazing I think is a sign of of what Amazon does right that it's like as a byproduct of the the accidental business that they created with aws they created like a billion dollar conference industry. Yeah I mean what is it I I hear that are on the run rate of twenty five billion. Whatever right now so reinvent I meant? Aws as business itself. Not no I I don't know what the the actual revenue Magin. It's pretty profitable. Oh my mom was certain. It's it's profitable given the number of vendors like like ourselves who are there and the amount of money that we spend in demonstrating getting boots you know sending people to that event. I'm I'm I'm sure it's a profitable venture for the blues but look I mean at the end of the day right. I mean this is a place. Where were you meet the people who are building your connection APPs right by the fender guitar player who is building their APPs on there the next gen mobile APP on? Aws whether it's AIRBNB AIRBNB whether it's neck flakes or whether it's a tiny little company that's You know with like three guys in a garage today. Nobody would question you if you were to put theocratic card and build your first on us. So it'll be as hats and reinvent has become the show to to go to see what's going on in the in the the. It world for sure as we begin to wrap up a few higher level subjects. I WANNA discuss so the changing usage prototype of a log management system around observability system. We touched on this a little bit earlier but the fact that today not only do you have engineers and operations nations people working with your log management tool your metrics tool we have data scientists. You have customer service people bowl of product managers. You might have marketing people. As he's different constituencies want access to this logging data or maybe they want access to the post processed log metrics. How does that change the interface and has it changed the product design nine? That's a good question rear in early. I would say you know phases of understanding it ourselves but but I think what's similar Dick is starting to see is that you know in many organizations in our customers are not just the typical people right. I mean the SR is in the people who are on the security people who product people like exactly like you said or customer support people who may not have the sophisticated understanding of our curry. The language may not have the ability to create dashboards An alert and and other things that you know you would. You would take for granted if you're someone who lives in breeze. He's within the similar logic system. So what is starting to see more and more off as two modes of operation one is this notion of what I call is template iced iced offers right where I as an administrator of the product or as an expert user of the product. I met template ties What I may I want to do in the product and then expose a few very simple to configure things within my product and then offer it to a larger swath of if users so for example? Imagine if I have. Let's say three hundred customer support people and you know I need to support the customer support people and they need to look into sumo logic system. Every time somebody called with the problem they need to look up an ID and daddy need to see what's what's wrong with the product or the of the system at that point rather than expose the similar logic query language to do all of these people who I'm sure They come with in a different knowledge and different skills at what be condemn do is offered. A template is Interface or dashboard. But all you have to do is drop the product. Id and then you drop the product idea you know you are the customer and you get all the details about the the customer. that product used product the logs from the product the editors and the D. Bugs and the warning messages the product itself so so this template is offering essentially in some sense simplifies. Don't want to use the word dumps because that has a pejorative meaning to it but at least simplifies the access and the analytics that these non-experts can also get from our product. The other approach that I will see you know and then from product. What is the ability for us to export Data from product into other systems so we have customers who explored our data into into Pablo into clack into Lucre. You know so that they can start to slice and dice data in somewhat different ways which may would be more in line with what these personas may be used to and mail to want to see it and end of the day. We own the business of getting insights from data and the extend that you know that are better than other systems that can perhaps do some of the stuff we have more than happy to export this data to integrate those Danine to other the systems. We also see some of data science customers. You know US notebooks and decimal logic as a simple interface to export or data into data data. Science notebooks there you can do other forms of analysis on this data which may not be core discipline logic which on the focus of some logic itself so look at the end of the day right. I mean you've been in the business of getting best insights from our data for customers and we'll do our utmost to make that happen. I want to thank you for coming in software engineer. Dale it's been great talking to you. Thank you very much. Jeffrey take.

aws Jeffrey sumo logic reliability engineer Las Vegas US Stephen Barcelona Wegelius software engineer Amazon Dale AIRBNB administrator Pablo
"sumo logic" Discussed on Bloomberg Radio New York

Bloomberg Radio New York

01:36 min | 2 years ago

"sumo logic" Discussed on Bloomberg Radio New York

"Primary partners as well as competitors. It hasn't dramatically changed that series a and series b at this, point but it definitely changes, no later stage so what are the next big trends of social networking was one and gray lock was there and then it was the sharing economy and gray gray lock was there what is next we focus really on, two main areas consumer investments enterprise investments I tend to focus more on enterprise we also thinking about what I'll call sort of new opportunistic areas of investment so. Obviously a Thomas vehicles is the thing that everyone's talking about and we've done some. Investments their self driving van company? Called neuro Kritzinger is a great example where what we're trying to, do is take the part. Of the delivery of goods and services that oftentimes are different drew done by people And how you can actually make that autonomous so for example if. You want to order groceries don't have to have a person drafter your, house anymore the ideas that this vehicle. Will drive from the grocery store and show up at your house when you have to walk out you open the device but there's no person actually even. In the car so we're? Going after places like that where we, think that, there's a. Really interesting vertical applications of things like. Self driving vehicles so talk to us about big data and you know another. One of your portfolio company's sumo logic compete sort of with with, with Pailin tear which has, been controversial big data company you know what is the what is the opportunity that you see there I mean there's been so much data unleashed but it hasn't been proven that it can actually be useful I, I think you highlight probably the biggest issue around data people just click more and more and more. Data but data without insight it's pretty useless, right.

sumo logic
"sumo logic" Discussed on AM 1590 WCGO

AM 1590 WCGO

03:01 min | 2 years ago

"sumo logic" Discussed on AM 1590 WCGO

"And then you check back the next day and the prices go which direction they never go down and i don't think that's a mistake i think that dynamic pricing i think we're sort of on the verge of organization betting prices on an individual greg willing to pay for it watermelon that's kind of pure evil so there's a line that organizations as well now that's a good point and of course back to a comment mike made in the opening segment a lot of times these systems amount to black boxes and so just trying to manage that trying to govern that like let's say a regular comes into wants to see are you guys doing that terrible dynamic pricing well that's not the easiest thing in the world to unwind right i mean this is one of the real challenges i think in this new information economy is that you know the the path to remediation in our society is actually quite convoluted and disjointed and thinking that it's not will probably get you into a lot of trouble but just the finding judges and juries who can understand these technologies well enough to make reasonable decisions is gonna be hard to do so that is that is not a small component yeah it's a conservative article legally yeah yeah yeah let's bring in our final guest here we have bruno calling in from sumo logic brenno welcome to analysis tell us what you're doing with machine learning thank you so we do things with data sets that are different than what to colleagues on the phone we're talking about we deal with the data that i would title the exhaust of the digital economy so we did with unstructured data largely sometimes referred to a machine data and it really has a couple of distinct problems associated with its one is that it grows at a rate of moore's law which is essentially an exponential rate of growth and it also because it's digital economy still economy moves slightly different way and different pace than than traditional lousy from the perspective of development cycles agile development devops and other techniques that people are using today to build a digital properties to serve their customers compete to kind of odd maneuver to competition got introduces a high rate of change to this date is well so just to give you a sense of kind of scale that we have to cope rid we process trillion record today from our customers and we try to help them with a couple of use cases we help them mind is data in real time or real time.

greg mike sumo logic moore bruno
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

02:19 min | 2 years ago

"sumo logic" Discussed on Software Engineering Daily

"Of software engineering daily can find those episodes in the show notes tammy now works at gremlin a company that does chaos engineering as a service and in this show we talked about her experiences at dropbox and how to institute chaos engineering across databases we also explored how her work at gremlin which is a smaller startup compares to dropbox and digital ocean which are large companies it was great to talk to tammy and hope to do it again in the future if you are on call and you get paged at two am are you sure you have all the data you need at your fingertips are you worried that you're going to be surprised by things that you missed errors or even security vulnerabilities because you don't have the right visibility into your application you shouldn't be worried you have worked hard to build an amazing modern application for your customers even worrying over the details and dotting every i and crossing a routine you deserve an analytics tool that was built to those same standards an analytics tool that will be there for you when you need it the most sumo logic is a cloud native machine data analytic service that helps you run and secure your modern application if you are feeling the pain of managing your own log event and performance metrics data checkout sumo logic dot com slash s e daily even if you have your tools already it's worth checking out sumo logic and seeing if you can leverage your data even more effectively with real time dashboards and monitoring and improved observability to improve the up time of your application and keep your day to day runtime more secure checkout sumo logic dot com slash s e daily for a free thirty day trial of sumo logic find out how sumo logic improve your productivity in your application observability whenever you run your applications that's sumo logic dot com slash se daily thank you to sumo logic for being a sponsor of software engineering daily.

sumo logic tammy thirty day
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

01:38 min | 2 years ago

"sumo logic" Discussed on Software Engineering Daily

"If you are on call and you get paged at two am are you sure you have all the data you need at your fingertips are you worried that you're going to be surprised by things that you missed errors or even security vulnerabilities because you don't have the right visibility into your application you shouldn't be worried you have worked hard to build an amazing modern application for your customers even worrying over the details and dotting every i and crossing every t you deserve an analytics tool that was built to those same standards an analytics tool that will be there for you when you need it the most sumo logic is a cloud native machine data analytic service that helps you run and secure your modern application if you are feeling the pain of managing your own log event and performance metrics data checkout sumo logic dot com slash s e daily even if you have your tools already it's worth checking out sumo logic and seeing if you can leverage your data even more effectively with real time dashboards and monitoring and improved observability to improve the up time of your application and keep your day to day runtime more secure checkout sumo logic dot com slash s e daily for a free thirty day trial of sumo logic find out how sumo logic improve your productivity in your application observability whenever you run your applications that's sumo logic dot com slash s daily thank you to sumo logic for being a sponsor of software engineering daily.

sumo logic thirty day
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

01:46 min | 2 years ago

"sumo logic" Discussed on Software Engineering Daily

"Your tools already it's worth checking out sumo logic and seeing if you can leverage your data even more effectively with real time dashboards and monitoring and improved observability to improve the up time of your application and keep your day to day runtime more secure checkout sumo logic dot com slash s e daily for a free thirty day trial of sumo logic find out how sumo logic improve your productivity in your application observability whenever you run your applications that's sumo logic dot com slash se daily thank you to sumo logic for being a sponsor of software engineering daily interesting and if what you're saying is true then your requests drive down the price because if you're typically deferring to the lower priced purchase price of an exchange then you're probably driving down prices overall yeah a musher that means we're driving down price it depends on the markets now sometimes the markets just going one way we see this all the time you know like a theory or bitcoin is just rising like crazy in some some types of market scenarios at everyone wants to buy and they want to speculate as to you know maybe which one of these they think is gonna be higher a few moments from now and things like that that drives a lot of that action sometimes upwards so i wouldn't say necessarily boost prices down i would say that shape ship in many ways because we addressable spokes changes kind of forces like version of arbitrage almost where it won't necessarily force the price down but it will eventually force exchange prices together.

sumo logic thirty day
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

02:42 min | 2 years ago

"sumo logic" Discussed on Software Engineering Daily

"Have your tools already it's worth checking out sumo logic and seeing if you can leverage your data even more effectively with real time dashboards and monitoring and improved observability to improve the up time of your application and keep your day to day runtime more secure checkout sumo logic dot com slash s e daily for a free thirty day trial of sumo logic find out how sumo logic improve your productivity in your application observability whenever you run your applications that's sumo logic dot com slash s daily thank you to sumo logic for being a sponsor of software engineering daily what you're describing is that in crypto currency there may or may not be proprietary data feeds that will be useful but what they're definitely is is an avalanche of information that is available to the public and that information may not be easy to parse so you know even the example of white listing people who are clearly interesting within the crypto currency discussion community i think that's a useful tool i think if you talk about building a system that can accurately measure get hub activity or the activity of the commitment community or even the activity in get discussions which may or may not you know like you have this this theory in theory debate raging right now around and some governance issues i know and that's important developments that may or may not be measured in traditional metrics around how much activity is going on in a repository so you've got all this information they need to be marshalled and centralized hopefully into some single pane of glass that you can interact with as a crypto currency trader rather than always having to have fifty tabs open and have your browser be your bloomberg terminal and i think the other aspect of a product that you have a chance to build is a really nice you i that is purpose built for this effort so maybe you could talk from a top down perspective when somebody logs into santa ment what kinds of information do they want to be met with when they open up the santa moment.

sumo logic bloomberg santa thirty day
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

02:37 min | 2 years ago

"sumo logic" Discussed on Software Engineering Daily

"We need to be sure that he will be keeping this around and also to be honest the day defeats out there there are very few there that are actually quite sophisticated even like i can give you a an interesting example right now there are several websites that are tracking get cookbook tidgy projects and if you dig into their data you're gonna find out that actually for many of the projects this data is really not accurate and it's not very accurate for very simple reason they count the number of commits for each project but if you fork let's say bitcoin you're gonna start with thousands of commits in hundreds of contributors in your so you'll be very far forward you know for example if you look at these websites you you'll see that cryptocurrencies like bitcoin gold which you know probably most people haven't heard about is like the plan of defective which is just not true like they don't have him with contributors in thousands of commits that's you know end so you need to be really careful when you collect such kind of data and create your develop our own development activity tracking which is it's not immune for journey let's say but at least doesn't have this problem with forking in winning four i don't know the lyrics colonel will be like the most if you are on call and you get paged at two am are you sure you have all the data you need at your fingertips are you worried that you're going to be surprised by things that you missed errors or even security vulnerabilities because you don't have the right visibility into your application you shouldn't be worried you have worked hard to build an amazing modern application for your customers even worrying over the details and dotting every i and crossing every t you deserve an analytics tool that was built to those same standards an analytics tool that will be there for you when you need it the most sumo logic is a cloud native machine data analytic service that helps you run and secure your modern application if you are feeling the pain of managing your own log event and performance metrics data checkout sumo logic dot com slash s daily even if you.

sumo logic
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

01:58 min | 3 years ago

"sumo logic" Discussed on Software Engineering Daily

"Lots of different material around those episodes and it's all opensource if you aren't check it out it's at get hub dot com slash software engineering daily and i hope you do and i hope you've paying us about it if you are on and you get page at two a m are you sure you have all the data you need at your fingertips are you worried that you're going to be surprised by things that you missed errors or even security vulnerabilities because you don't have the right visibility into your application you shouldn't be worried you have worked hard to build an amazing modern application for your customers even worrying over the details and donning every i and crossing every t you deserve an analytics tool that was built to those same standards an analytics tool that will be there for you when you need it the most sumo logic is a cloud native machine data analytics service that helps you run and secure your modern application if you are feeling the pain of managing your own log event and performance metrics data check out sumo logic dot com slash s e daily even if you have your tools already it's worth checking out sumo logic in seeing if you can leverage your data even more effectively with realtime dashboards and monitoring and improved observability to improve the up time of your application and keep your day to day run time more secure checkout sumo logic dot com slash s e daily for a free thirty day trial of sumo logic find out how sumo logic can improve your productivity in your application observability whenever you run your applications that's sumo logic dot com slash s e daily thank you to sumo logic for being a sponsor of software engineering daily.

sumo logic thirty day
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

02:46 min | 3 years ago

"sumo logic" Discussed on Software Engineering Daily

"Tools already it's worth checking out sumo logic and seeing if you can leverage your data even more effectively with realtime dashboards and monitoring and improved observability ability to improve the up time of your application and keep your day to day run time more secure checkout sumo logic dot com slash s e daily for a free thirty day trial of sumo logic find out how sumo logic can improve your productivity in your application observability whenever you run your applications that's sumo logic dot com slash s e daily thank you to sumo logic for being a sponsor of software engineering date kittery junge is a senior software engineer at pinterest cannery welcome software engineer daily thanks for having me yes it's great to have you were going to talk about the machine learning infrastructure more so than the machinelearning algorithms themselves in this conversation today so in order to get us into the right frame of mind to talk about these data pipelines a debts are deployed at pinterest let's give people a feeling for what pinterest is can you just explain the product and the sources of data that are going into the data pipeline shirt yeah so pinches pinches is visual discovery engine and bite that when i mean is that contest helps people find or explore new ideas for example cooking dinner trying a new outset redick reading a home for anything that inspires you deduce things that you love so it's basically an online pin board for collecting these ridgewood multimedia also known as images and you know since the last eight years ever since which is has a started people have been saving and labeling their ideas they saved these pins classify them into collections that they would like to go back to in the future so bad gives us a lot of insights on knock will leave your interest but also what's upcoming so that's definitely one source of data now another source of data for us is the user actions on these plans so depending upon what they use it likes what they use user cliques what they repentance by those are a lot of different user actions that we could use to basically get information about what the usda wants an inch.

sumo logic software engineer pinterest redick usda eight years thirty day
"sumo logic" Discussed on Software Engineering Daily

Software Engineering Daily

02:34 min | 3 years ago

"sumo logic" Discussed on Software Engineering Daily

"Pinter arrest is a visual feed of ideas products clothing and recipes millions of users browse pinterest to find images and text that are tailored to their interests like most companies pinterest started with a large monolithic application that served all requests as pinch arrests engineering resources expanded some of the architecture was broken up into microsoft mrs and doc arrived which made the system easier to reason about to serve users with better feeds pinterest built a machine learning pipeline using kafka spark and presto user events are generated from the frontend logged onto kafka and aggregated to build machine learning models these models are deployed into docker containers much like the production micro services are kinneary jungle is a senior software engineer pinterest and she joins the show to talk about her experiences at the company breaking up the monolith architect in a machine learning pipeline and deploying those models inter production kenner is also writing a book on the topic and she's going to be speaking at strata data conference in san jose march fifth through eighth i'm also going to be there just walking around hanging out and seeing talks so if you're going to be attending the strategy to conference let me know you can also get a twenty percent discount on a ticket by entering the code p c s e d and with that let's get to this episode of software engineering daily if you are on call and you get page at two a m are you sure you have all the data you need at your fingertips are you worried that you're going to be surprised by things that you missed errors or even security vulnerabilities because you don't have the right visibility into your application you shouldn't be worried you have worked hard to build an amazing modern application for your customers even worrying over the details and donning every i and crossing every t you deserve an analytics tool that was built to those same standards an analytics tool that will be there for you when you need it the most sumo logic is a cloud native machine data analytics service that helps you run and secure your modern application if you are feeling the pain of managing your own log event and performance metrics data check out sumo logic dot com slash s e daily even if you have your.

kafka pinterest kenner sumo logic Pinter microsoft software engineer san jose twenty percent
"sumo logic" Discussed on NPR's Business Story of the Day

NPR's Business Story of the Day

02:00 min | 3 years ago

"sumo logic" Discussed on NPR's Business Story of the Day

"Support for this podcast in the following message come from novonordisk dedicated to research and innovation to help millions of people living with diabetes learn more at novo nordisk got us an update now on the daca debate this morning the senate judiciary committee is holding a hearing on the fate of the recipients of the deferred action for childhood arrivals policy tech industry insiders say the largest internet companies have banded together to push a bill through congress that would give legal status to undocumented young adults brought to the us as children and pierce arthis shahani reports the largest tech companies amazon gugel facebook microsoft and apple are taking the lead in a business coalition that also includes large retailers like target and wal mart that's according to people familiar with the coalition who say it's working on a dual strategy for now the plan to target the house were speaker paul ryan has indicated he's more supportive of legislation than senate majority leader mitch mcconnell is but if it seems unlikely in the next few weeks the next hope the plan b is to get some kind of bills slipped into an omnibus package at the end of the year meanwhile in silicon valley pressure is mounting for tech leaders to keep on trying dhaka recipient russia lopez has been in and around the tech industry since childhood i grew up here in silicon valley they the dotcom bubble the twenty eight year old who was born in mexico is the daughter of two janitors her first time inside a tech startups she says was one her dad put her in a trash can he'd use for cleaning and sneak her into work sites were she'd help him yes taking out the trash are saying trash from recycling she then went on to columbia university and now works at a data analytics up called sumo logic where she is a product designer she hopes the steady stream of tech chief speaking out will tipped the scales for people like myself and others who are already sort of like contributing.

russia lopez dotcom dhaka majority leader senate facebook arthis shahani sumo logic columbia university mexico novonordisk mitch mcconnell paul ryan the house apple microsoft us congress senate judiciary committee novo nordisk twenty eight year