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Use the 4-C Framework to Build Observability in Cloud Native Environments
- End-to-end observability is essential for cloud-native applications, covering each component's monitoring, identifying potential problems, and proactively resolving them.
- Traditional monitoring paradigms are becoming insufficient, necessitating an end-to-end solution that ties the causal relation from code to business-level systems.
- The 4C framework is proposed to build observability and develop a comprehensive framework across complex systems, containing 4 layers that are present in the cloud-native ecosystem, namely, “ Cloud, Cluster, Container, and Code”.
- The cloud layer involves examining cloud services that applications utilize, and the Kubernetes cluster layer monitors nodes, resource allocation, network performance, among other metrics.
- Container observability is difficult due to the dynamic nature of containerized applications, and tracking container health, resource utilization, and operational anomalies is challenging.
- At the code layer level, observability focuses on APM tools that track user interactions and application errors. By analyzing logs and traces, developers can pinpoint areas for optimization or refactoring.
- The 4C framework gives us an observability mental model that brings a holistic view of what is happening in the entire system and how to be proactive rather than reactive.
- With the 4C framework, we can build end-to-end observability systems that cover all aspects of the cloud-native world ecosystem, regardless of the tools used to build observability.
- The 4C framework can help identify potential issues before they erupt, responding to those issues proactively.
- Thus, implementing the 4C framework can help organizations to enhance user experience by ensuring that applications perform reliably under varying loads on cloud-native infrastructures.
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