Kubernetes Monitoring: Strategy, Best Practices, and Tools to Use

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • cadvisor

    Analyzes resource usage and performance characteristics of running containers.

  • Container Advisor (cAdvisor) is an open-source metrics collection agent specifically built for containers. This solution runs at a node level, since it comes integrated with the kubelet service as one of the binaries. cAdvisor gathers data on CPU usage, memory usage, network status, and storage for every live container, helping administrators gain insight into machine-level performance metrics.

  • jaeger

    CNCF Jaeger, a Distributed Tracing Platform

  • Originally released in 2016, Jaeger is an open-source project that provides a toolset for tracing and troubleshooting. For engineering teams with complex distributed systems, Jaeger makes it easy to perform distributed transaction monitoring and to perform root cause analysis. Jaeger is also helpful in that it can be used to monitor performance and latency optimization. It’s recommended that you instrument your applications using OpenTelemetry, and there is support for Java, Node, Python, Go, and C++.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • opentelemetry-go

    OpenTelemetry Go API and SDK

  • Originally released in 2016, Jaeger is an open-source project that provides a toolset for tracing and troubleshooting. For engineering teams with complex distributed systems, Jaeger makes it easy to perform distributed transaction monitoring and to perform root cause analysis. Jaeger is also helpful in that it can be used to monitor performance and latency optimization. It’s recommended that you instrument your applications using OpenTelemetry, and there is support for Java, Node, Python, Go, and C++.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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