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This blog post discusses the importance of observability in Kubernetes deployments. Observability goes beyond just monitoring metrics; it allows you to track how requests flow through your applications and pinpoint performance issues. The blog outlines essential observability tools including Prometheus, Grafana, Loki, and Jaeger. It then dives into seven best practices for Kubernetes monitoring with observability in mind. These best practices cover defining goals, selecting appropriate metrics and tools, and establishing data storage and incident response plans. By following these recommendations, you can gain a deeper understanding of your Kubernetes deployments and improve the overall health and reliability of your containerized applications.

This blog post explores how to use observability tools to set and maintain Service Level Objectives (SLOs) for Kubernetes applications. Understanding the difference between SLOs, SLIs, and SLAs is crucial. The best observability tools for Kubernetes include Prometheus, Grafana, and Jaeger. These tools help you collect metrics, visualize data, and trace requests to set SLOs and troubleshoot performance issues. The key steps to using observability tools effectively involve observing your service's behavior, setting thresholds and error budgets for SLOs, and updating SLOs as your system evolves. By following these steps, you can ensure your Kubernetes applications meet performance and availability targets.

Learn several Kubernetes monitoring best practices to gain visibility over your workloads and meet business goals.