Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes capacity planning is one of the main challenges that infrastructure engineers have to face, as understanding Kubernetes limits and requests is not an easy thing. You might be reserving way more resources than you need to ensure your containers don’t run out of memory, or are CPU throttled. If you are in this situation, you’re going to be charged for those resources even if they aren’t being used, and it will also make deployments more difficult to schedule.

Fargate offers a great value proposition to AWS users: forget about virtual machines and just provision containers. Amazon will take care of the underlying hosts, so you will be able to focus on writing software instead of maintaining and upgrading a fleet of Linux instances. Fargate brings many benefits to the table, including small maintenance overhead, lower attack surface, and granular pricing. However, as any cloud asset, leaving your AWS Fargate tasks unattended can lead to nasty surprises.

Congratulations, you finally consider moving your apps to Kubernetes. It is a big day! Here is a checklist to ensure you did not forget anything essential to increase your chances of success using Kubernetes. We divided those points into three sections, from the most important to the least. Let’s go.

Speedscale was built primarily to provide engineering teams with better insight into their applications over time, replaying single transactions for root cause analysis that give developers and SREs confidence that tomorrow’s application code will work just as well in production as it did yesterday.

We’re excited to announce Calico v3.19.0! This release includes a number of cool new features as well as bug fixes. Thank you to each one of the contributors to this release! For detailed release notes, please go here. Here are some highlights from the release…

In order to manage complex containerized applications, modern devops teams need to have deep visibility into the status of their Kubernetes resources. By listening directly to the Kubernetes API, the open source kube-state-metrics service generates key metrics about your Kubernetes objects, including pods, nodes, and deployments, which are essential for understanding the status and performance of your clusters.

One of the greatest challenges you may face when creating Kubernetes dashboards is getting the full picture of your cluster. Kubernetes is the de-facto standard for container orchestration, but it also has a very steep learning curve. We, at Sysdig, use Kubernetes ourselves, and also help hundreds of customers dealing with their clusters every day. We are happy to share all that expertise with you in the Kubernetes Dashboards.