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Kubernetes capacity planning is evolving from traditional resource-based approaches to intent-based planning that focuses on service-level objectives. Key strategies include implementing horizontal pod autoscaling, setting appropriate resource requests/limits, using namespace quotas, and monitoring cluster utilization. Success requires balancing automated scaling with cost optimization while maintaining performance requirements. Essential tools include cluster autoscaling, resource quotas, and comprehensive monitoring.

#prometh...   #kuberne...  

This blog post provides a comprehensive guide to writing effective Prometheus alert rules. It covers key concepts like alert template fields, PromQL syntax, and best practices for creating and managing alerts. The article also discusses the limitations of Prometheus alerts and provides practical examples of common alert rules. Finally, it emphasizes the importance of incident response handling and the use of tools like Squadcast to streamline alert management and improve overall system reliability.

#kuberne...   #kuberne...  

The blog post explores seven essential best practices for Kubernetes monitoring, guiding DevOps and Site Reliability Engineers (SREs) in developing robust monitoring strategies. It differentiates between monitoring and observability, emphasizing the importance of defining clear objectives, identifying critical metrics, selecting appropriate tools, and implementing comprehensive monitoring across system and application levels. The guide covers key aspects such as choosing between open-source and commercial solutions, monitoring the monitoring system itself, managing data storage, tracking the Kubernetes control plane, and integrating monitoring with incident response.

#prometh...   #kuberne...  

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.

#kubecon   #cncf   #Cloud N...   #kuberne...  

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...

#Helm   #kuberne...   #werf   #Nelm   #cncf  

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..

#Helm   #werf   #CI/CD   #cncf   #kuberne...  

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.

#kuberne...   #Helm Dr...  

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.

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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..

#DevOps   #SRE   #kuberne...  

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.