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This definitive guide provides a comprehensive walkthrough for installing Prometheus on Kubernetes, covering essential steps from prerequisites to advanced configuration. Readers will learn how to leverage Helm charts, create custom scrape configurations, manage resources, and implement best practices for Kubernetes monitoring. The tutorial offers practical code examples, troubleshooting tips, and insights into transforming cluster observability through powerful, open-source monitoring techniques.

Significant releases included Jaeger v2 and Prometheus 3.0. Two projects (Dapr and cert-manager) became Graduated. New certifications for Backstage, OpenTelemetry, and Kyverno were announced...

Nelmis emerging as a promising alternative to Helm. It is a part of a bigger CNCF project calledwerf, which aims to improve your Kubernetes-based CI/CD. Being backward-compatible with Helm, Nelm comes with significant improvements and new features that pull your deployment experience ahead. Learn m..

werf is a CLI tool for CI/CD created in 2016 and a CNCF Sandbox project since 2022. It implements opinionated CI/CD in Kubernetes with your favourite CI system. Starting from werf v2, it uses Nelm instead of Helm to deploy container images.

Helm dry run, using the helm install --dry-run command, is a valuable technique for validating Helm charts before deployment on a Kubernetes cluster. It helps avoid errors and unexpected behavior by simulating the installation process without modifying the cluster. Helm dry run works alongside other Helm commands like helm template and helm lint to streamline development and ensure charts are well-structured, compatible, and ready for deployment.

This overview lists and describes Open Source tools for Kubernetes administrators interested in leveraging AI for their everyday needs. They include K8sGPT (a CNCF project), Kubernetes ChatGPT bot by Robusta, kube-copilot, and a few kubectl plugins (such as kubectl-ai and kubectl-gpt).Learn about th..

As the complexity of a Kubernetes cluster grows, managing resources such as CPU and memory becomes more challenging. Efficient pod scheduling is critical to ensure optimal resource utilization and enable a stable and responsive environment for applications to run in. In this blog, we will delve into the intricacies of pod scheduling, including optimization of resource allocation and balancing workloads.

Partitioning is a way to divide GPU resources into smaller slices. This allows Pods to be scheduled only on the memory/compute resources they actually need, thus increasing GPU utilization and reducing infrastructure costs in Kubernetes clusters.

FAUN is glad to announce a partnership with ContainerDay Security.

Securing and managing secrets in Kubernetes is a crucial aspect of maintaining the security and integrity of your clusters and apps. Here's how to protect secrets in your Kubernetes clusters.