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Tomer Levy, Logz.io | AWS re:Invent 2020


 

>> Narrator: From around the globe it's theCUBE with digital coverage of AWS reinvent 2020. Sponsored by Intel, AWS and our community partners. >> All right, you're continuing coverage of AWS reinvent 2020 virtual event. We get the pleasure of covering this show like no other AWS reinvent. We are pulling in from the other side of the world Tomer Levy, CEO of Logz.io. First time Cuber so we're going to ease them into it but it's going to be a great conversation. I'm Keith Townsend at CTO advisor. Tomer, welcome to the show. >> Keith, thank you for having me. I'm super excited to be here. >> You know what? We love having founders here on theCUBE. We have a long history of having deep conversations with builders and we're probably the show for builders. AWS reinvent is virtual. However, I think the spirit of re-invent is highlighted in companies like this. We've seen a lot of observability companies sprout up around the industry. AWS is a big, big magnet for these types of solutions. What's the assets Logz.io and how are you guys differentiating yourselves in this crowded space? >> Yeah, absolutely Keith you see observability is so fundamental to building applications on AWS that as companies develop more applications, they have to have solid observability. And we have a mission and our mission is to enable develop engineers and any engineer out there to use open source to run their observability. So when we were developers we wanted to use open source but we had to compromise on a proprietary solution. We decided to build the company so engineers can use the observability tools they're already using for logging, for metrics, for tracing, Whatever they're already using we want to enable them to use that at scale on AWS. So it's easy to use, it's super smart and the data is coordinated. And I think fundamentally it's what we're doing very differently in the market. There is no other company in the market today that takes the best open sources and bring them together as one super strong platform and we're proud to be that company. >> Well, when you say there's no other company doing open source the way that you guys are doing it, that really intrigues me especially as we look at this from the angle of Cooper Netties, the CEO of the leading virtualization company called Kubernetes, the doubts home of the internet. How do you see the intersection of opensource observability in kubernetes especially in the public cloud? >> Yeah, for sure. People say that kubernetes is almost the operating system of the future and why do people use kubernetes? They use it to make sure they can run multiple microservices. They can take their application which used to be a monolith and put it in a distributed way. So it becomes so much harder to monitor or to troubleshoot even to secure applications. So the way we built Logz.io was really designed for companies that are moving into the cloud, companies moving into kubernetes, into microservices and by having logs and metrics and traces all work together through the best open sources. I think we can help customers really get the visibility and just accelerate the software delivery. Just provide better service to their customers. >> So Levy, walk me through that journey. What is it like for a developer to come from their traditional open source roots and enter the cloud where they're melding public cloud services in AWS alongside their tools that they're using in observability. How do you help ease that transition? >> Yeah, absolutely Keith because one of the main drivers for companies adopting tools like Logz.io is actually the migration to AWS. So imagine now migration to a new ground, what do you have to think about first? Do I have the glasses? Can I see what's going on? Like when I see what's going on, I feel more confident. So if I'm now using, let's call it elk or using the open-source Grafana or using tools like Jaeger, which are all open sources too that we offer as part of our platform. So when I use these tools I'm using them to get visibility into my own application, my own infrastructure. So Logz.io faster transition to Logz.io is super easy. This is the whole notion of having an open source compatible platform. So I want to move to Loz.io, everything that worked with my open source currently still works with Logz.io but now when you move to the cloud Logz.io on AWS, we have a very strong relationship so all the services are automatically monitored. You have pre-configured dashboard, everything is interconnected so just when I jump into the AWS platform I immediately get visibility of my existing apps and of the AWS infrastructure. And that eventually helped me become confident, grow and deliver faster on AWS. >> So again this is a conference full of builders but you used the term devOps. We're starting to see a bleeding of DevOps and builders or operations and builders come together. One of the big trans and DevOps and observability is AI and machine learning. What are some of the features of AI and Machine Learning you guys are bringing to bear to this market? >> Yeah, listen I'm a big believer in AI. You know, the amount of data that companies like Logz.io have to ingest and our customers have to process. It's just something a human being cannot possibly understand. It's like billions and millions of lines of data. So this is where we bring machines to help humans. I'll give you one example, right? If you're a DevOps engineer and you see an issue in your logs, what do you do? You usually copy that and putting it into Google and you'll end up on stack overflow, maybe on GitHub, maybe on another website. What we have done is we've scraped the web and we have learned from any user on our platform. So we actually know which log line is important and which one is not. So when companies send a log line, our AI automatically scans it and says, "Hey, here are the billion log lines. No one cares about but here is one that you should really look at right now because either you know half a million people that were searching for it. There are 7,000 alerts on this and it just happened to you. Keith look, maybe you should jump in and look at that". This is where AI makes us just better operate or better DevOp people and not kind of try to replace us. >> So I'm a technical founder, you're a technical founder, theCUBE loves supporting founders. One of the advantages of being the CEO of your company is that you get to decide the culture and the mission of your company. Talk to me about the people side of your organization and how you're making a change for the better. >> Yeah, absolutely. You know, it is a privilege and to the privilege to start and come with a mission that you want to change something in the world and we were just two developers, a staff, my co-founder and myself having to use a product we didn't want to use and you know still really wanted to use an open source product. So we said let's build the company around that and this is kind of set the mission for the company as the company evolved, so is our mission. It evolves from logging to monitoring, to tracing and we also added a cloud SIEM solution all based on open source. So we're going to DevOps engineers and any engineers and we tag any engineer we tell them, "Hey, you can use the best open source tools in the cloud is one platform without compromising". And that's something that really is very differentiated today and I'm very humbled and excited to be part of this journey and I think the team at Logz.io is as well. >> You know I'm always intrigued about this journey to the cloud. Security is one of these things that intrigues me especially as we look at something as mature in the way open source. We often associate open source with public cloud, cloud native but open source is as old as technology itself. So there is a lot of practices that we bring from legacy, traditional infrastructures into the public cloud. So talk to me about that transition of security and security models? How does observability help to either take our existing tools and migrate them to the public cloud or adopt all new cloud native tools in the public cloud? >> Yeah, for sure. I think security is probably together with observability. One of the top priority that when you think about CTOs and VP of Engineering and CSOs, they're concerned about. So we've taken the observability path and bringing better glasses to our users and then on the security side there's a whole market called the SIEM market where companies look at detecting threats, investigating them and most of these tools were that companies use our legacy, incumbents and for design on their own premises world. And are not really a fit for the dynamic world of kubernetes and the cloud. And this is when we decided a couple of years ago to launch a product in that space and today this product is extremely successful. We have customers protecting their AWS environments across the board. So basically with one product for observability, you can with a single checkbox enable security and then you can detect threats. You can look at kind of the common pitfalls of AWS environment and how you can avoid them. And eventually when you see a threat, you can use our tool to investigate and find the root cause in a tool which was designed on AWS for AWS. And it's really designed for the kind of the native cloud environment rather than the on-premise as well. >> Now, is there an integration between the AI ML law of management and the threat management solutions from our observability perspective? >> Yeah, for sure. This is the beauty, it's all one data platform. So customers ship their data, loads, metrics and traces into one place and then we start to look at how can we provide more value on the data, right? How can we look at the logs from an operational perspective and tell you, "Hey, your production might be going down because of a production risks or maybe we can provide you threat intelligence". We can enrich the data and tell you, "Hey, we think you're undergoing an attack right now". So this is all done by users and it is all enraged by AI that provides more visibility, more enrichment of the data and just advice on where to look. >> So Tomer levy, CEO, founder of Logz.io. You're now a few belong. Thank you for joining the show. I hope you have a very successful AWS reinvent. Speaking of AWS reinvent, theCUBE's nonstop coverage of AWS reinvent continues. Watch some of the world's greatest builders, innovators get challenged on their vision and for us to understand and appreciate the work that's been done in this dynamic community. Continue to watch this coverage and more. Talk to you next interview on the CUBE's coverage, of AWS reinvent 2020. (soft music)

Published Date : Dec 2 2020

SUMMARY :

the globe it's theCUBE We are pulling in from the I'm super excited to be here. around the industry. differently in the market. doing open source the way So the way we built Logz.io and enter the cloud where is actually the migration to AWS. One of the big trans and You know, the amount of data One of the advantages of in the world and we were in the way open source. One of the top priority that more enrichment of the data on the CUBE's coverage,

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