docker / go-metrics

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Metric Collection & Best Practices

Reason: Understand the core purpose of the go-metrics package, which is to provide a consistent and structured approach to collecting metrics within Docker projects. Learn about the best practices for naming and defining metrics, adhering to Prometheus standards.

Namespaces

Reason: Learn how namespaces are used to group metrics, providing a logical organization and enabling the attachment of constant labels (like version and commit) to all metrics within a namespace.

Metric Types (Timer, Gauge, Counter)

Reason: Understand the different types of metrics (Timer, Gauge, Counter) and their respective use cases. Learn how to utilize each metric type effectively to track specific aspects of system performance or behavior.

Labeling

Reason: Understand how labels are used to provide context and granularity to metrics. Learn how to define and utilize labels effectively to create meaningful and informative metrics.

Units

Reason: Understand the importance of specifying units for all metrics, ensuring consistency and clarity in understanding the data. Learn how to use the standard units provided by the go-metrics package and how to extend them if needed.

Prometheus Client Integration

Reason: Learn how go-metrics seamlessly integrates with the Prometheus go client, leveraging its functionality for metric collection and exposing data in a Prometheus-compatible format.

HTTP Handler Instrumentation

Reason: Learn how to instrument HTTP handlers using go-metrics, capturing performance data for your HTTP endpoints.

Custom Metrics

Reason: Understand how to define and register custom metrics beyond the standard set provided by go-metrics, catering to specific requirements of your project.

Testing and Debugging

Reason: While the codebase itself doesn’t have extensive unit tests, it’s important to understand how to effectively test and debug code that interacts with go-metrics. This involves setting up test environments, generating mock data, and leveraging debugging tools to identify and resolve issues.

Security

Reason: The go-metrics package itself doesn’t directly address security vulnerabilities. However, it’s crucial to understand security considerations when using go-metrics, especially in Docker environments. Learn about secure practices for metric collection, data exposure, and authorization, considering the potential for sensitive data leaking through metrics.