Introducing Cobe Beta – No more problems hunting for hours at the command line. A quick look at the cluster, a fix, and you are back to what you wanted to be doing.
One of the best parts of being a DevOps engineer is taking advantage of the new waves of tools appearing on the market. Containers and microservices have taken over our daily lives. We work with pioneering technologies from innovative organizations like Docker and Google. But, we all know that these come with certain challenges, issues and limitations.
Does this sound familiar: You discover there’s a problem with your deployed service, fire up Kubectl to gain command line access to Kubernetes, and then feel a level of frustration with the long-winded multi-step manual search for the root cause of the problem.
Cobe wanted a faster, simpler way to manage Kubernetes clusters. So they set out to cut the time and effort to traverse and explore Kubernetes to short track the diagnosis and resolution of deployment problems. Eighteen months ago, they started development and today they launch the Beta version of their product, Cobe.
Cobe creates a live, searchable model that captures all the relationships, performance data and actionable alarms, in full visualized context. Through search, Cobe enables you to identify and surface relevant telemetry so you can quickly identify and diagnose the root cause of issues.
In its most simple form: when you hit an issue, all you need to do is open a browser, login to Cobe and you’ll be presented with a complete topology of your environment.
Context is King
As more and more microservices are added, there is an increase in the number of moving parts – all of which need to interact. This increases the number of potential points of failure. There are no issues when all the pieces work harmoniously together, but when one of these parts fails, tracing the root of the problem across multiple tiers can be difficult.
Cobe will help you pinpoint the problem, but not just that – it will help you see it in context. Cobe not only informs you of a problem within your cluster but, further, lets you see that problem in the wider context of your cluster with associated potential causes, issues and/or implications between your microservices.
You don’t just find the pod that’s not working in your code; instead you see all the pieces of the puzzle. Which container failed? Why is the app crashing? Is there an issue with the node? Is there a bigger problem? What other things are impacted? All this in visualized Cluster context, minimizing the need to go to the command line.
Cobe provides a full visualization and diagnostic tool that makes it easier to see what’s going on in your environment.
Get started with Cobe in the time it takes to make a cup of Tea!
Further details about the Beta are here: https://cobe.io/beta
Or you can get started straight away: https://cobe.io/getting-started
