- Karpenter vs Cluster Autoscaler ☸️ ⚒️Getting the size of a Kubernetes cluster right is not an easy task, if the number of nodes provisioned is too high, resources might be underutilized and if it’s too low, new workloads won’t be able to be scheduled in the cluster. Setting the number of nodes manually is a simple approach, but it requires manual intervention every time the cluster needs to grow or to shrink, and it will make nearly impossible to adapt the cluster size to cover rapid traffic and load fluctuations. In order to solve this problem, the Cluster Autoscaler was introduced starting on Kubernetes v1.4. […]
- Cluster-wide registry authentication 🌐🔐Using private container image registries is a common practice in the industry, as it ensures applications packaged within the images are just accessible for users which hold the right set of credentials. Besides, in some cases, using credentials for some registries helps overcoming pull rate limitations, for example when using paid subscriptions for DockerHub. The authentication process for image registries is pretty straightforward when using a container runtime locally, like Docker. In the end, all you need to do is setting your local configuration to use the right credentials. In the case of Docker, it can be done running the […]
- Kaniko: Building images without Docker🐳🔫Building container images is a pretty common stage within the modern CI flows, in which these images are the main artifact used to distribute and run apps. Building images in a “classic” way implies using docker as a daemon and the docker CLI. This approach can be easily implemented in local environments, where all you need is a dockerfile, the source code and the dependencies to package. However, when it comes to building images within a CI system, doing it at scale and in a secure way is not as trivial as it is to do it locally, specially when […]
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- Ksniff: packet capture at pod level for k8s 🕵️♂️📦Troubleshooting containers in Kubernetes is a recurring topic that you may face regularly. Logging and monitoring tools come in really handy here as they help you better understanding what is going on in the cluster or in the containers itself. Besides, it is possible to get valuable insights with the help of the classic kubectl commands such as kubectl describe, kubectl logs or kubectl exec. However, in some scenarios, these tools are not enough as you may need to examine the actual incoming and outgoing traffic for the containers in a pod, for example to determine connection issues at TCP […]
