 Hi everyone, it's great to see so many open-shift enthusiasts We see some of our customers here today, and we're all excited about open-shift, right? We're all excited about container technology the benefits it brings us You know it allows us to build a more efficient software pipeline. We can ship our software features quicker to the market But what the f words or in the context of today, what the D word What's going on? We don't want this ship to be sinking, right? So this is really why performance monitoring is so important if you're adopting these these new technologies and The traditional tools you were using to monitor your traditional environments are not sufficient anymore because there are some specific challenges First is we're building much more scalable much more dynamic environments If we look at our some of our customers our largest customers, they're deploying half a million containers per week So how do you do this? How do you do you structure this data? How do you model and analyze this data? That's really what we focus on at at Coast scale So another thing we see happening is that a lot of our customers? They're breaking down their traditional monolithic applications into smaller components now This is leading to an explosion in the amount of data We need to monitor because different components require different types of analysis different metrics to capture On top of this there is a lot of seasonality inherent to the data We're capturing and there are also a lot of correlations in the data So we need automated techniques that help us understand what is going on Then this is really what co-skill is about so we deliver a full stack performance monitoring platform Because there are so many layers in the container stack that are important to monitor We still have an operating system running somewhere So this is where we use our agent to capture or to do the traditional infrastructure monitoring So we look at CPU consumption memory usage your storage network, etc The next step for us is obviously to look at your orchestration layer So if you're using open shifts with Kubernetes behind the scenes, how is Kubernetes managing our containers? How are we mounting our storage and consuming this storage? Where are our containers running and how many containers do we have for each of our services? So really try understanding what is happening and how our orchestration layer is managing our container environment The next step for us is obviously to also give a good understanding about the application technologies running inside your Containers if you have a database running if you have a web service running, how fast are your incoming Request being handled? Where are the bottlenecks? So this is really important to understand and then finally within the co-skill platform We also look at end user experience because this is in the end important How fast is your application loading in the browser of your end user? So we tie all of this information together with the information we gather from the orchestration layer to show you what's happening in your production environment But this is an example dashboard But I would like to invite everyone to join us at our boot so we can show you a live demo But it's really about integrating our container and Kubernetes Expertise in the metrics we capture and in the dashboards we're offering So this is an example where you see the different services you have running in your environment and you can immediately Identify problematic containers and their impact on your services As I mentioned before the amount of data we're capturing is exploding So you need automated techniques to help you So we've built machine learning techniques over the past years and as part of my PhD research Where we leverage those techniques to help you understand what's going on So if suddenly there is a service impacted then you want to understand, okay Which container is causing this problem? Is there resource contention on the hosts to really, you know Understand what's happening so you can act quickly and solve the problem If you would like to learn more about co-skill, please join us at our boot We would be happy to give you a live demo Have a look at our website or feel free to reach out to me at stan at co-skill.com. Thank you