FAUN is glad to announce our partnership with ContainerDays.

Claudie is a platform for managing multi-cloud Kubernetes clusters, with each nodepool in a different cloud provider. It supports cloud bursting, service interconnect, managed Kubernetes for providers that do not offer it, and cost savings.

Today, we are talking with Bernard Halas, the Lead Engineer of Claudie. Read on to learn more about the human and the code!

As we have seen lately, Crossplane took over the world of Platform Engineering providing an absolutely easy and powerful way to build cloud native control planes.
But how does it work? How can I use it? What are the gains?
This brief post, which is created to be the initial one for a Crossplane series, aims to answer some basic questions for those who are still eager to use it.

From pods stuck in CrashLoopBackOff to services mysteriously failing, Kubernetes can throw curveballs when you least expect it. In this article have discussed 5 prime errors of K8s and also shared caouses of the errors and troubleshooting steps.

Resource Exhausted Error: Occurs when pods exceed allocated CPU or memory resources.​

CrashLoopBackOff: Pods crash repeatedly due to application errors or misconfigurations.​

ImagePullBackOff: Kubernetes fails to pull container images, often due to incorrect image names or authentication issues.​

Pending Pods: Pods remain unscheduled because of insufficient resources or node selector constraints

Service Not Found: Services are unreachable due to misconfigurations or missing endpoints.​

Learn about Inspektor Gadget for debugging apps in K8s; Headlamp Kubernetes UI; Kepler for evaluating energy consumption; SlimToolkit to optimize containers; SOPS to manage secrets; Clusternet to simplify access to many clusters; Eraser to delete vulnerable images; PipeCD to deploy across different environments; Microcks to generate API mocks; kpt to handle configurations in WYSIWYG; HwameiStor storage for K8s; Xline distributed KV store; and KubeClipper to manage Kubernetes easily.

DevOpsDays Ukraine is a part of the global DevOpsDays family. On 14-15 September, we will have two evenings of online talks and discussions on hottest DevOps topics. 

Programmable data planes offer dynamic control for cloud native applications. Technologies like eBPF and Kubernetes provide an abstraction to improve flexibility, scalability, and performance. Read this article to see how you can use programmable data planes with eBPF, or watch the introductory video for an overview of the concepts.

Kubernetes monitoring is the practice of observing and measuring the health and performance of a Kubernetes cluster and its components.

The main goal is to ensure the availability, reliability, and scalability of the cluster and the applications running on it.

Key metrics to measure include those related to clusters, nodes, pods, deployments, services, containers, and applications.

Best practices for monitoring K8S involve examining details in granular level data; gathering historical system data beyond metrics; understanding control plane monitoring; creating an instrumentation strategy with alerting; using a platform to run containers on physical/virtual machine clusters; utilizing Prometheus; selecting comprehensive Kubernetes monitoring tools.

Popular Kubernetes monitoring tools include Prometheus, Grafana, Fluentd, LOGIQ, and ELK Stack.