Observability

Building observable systems enables development teams at NEE to measure how well the application is behaving. Observability serves the following goals:

• Provide holistic view of the application health.
• Help measure business performance for the customer.
• Measure operational performance of the system.
• Identify and diagnose failures to get to the problem fast.

Pillars of Observability

• Logs
• Metrics
• Tracing
• Logs vs Metrics vs Traces

Insights

• Dashboards and Reporting

Tools, Patterns and Recommended Practices

• Tooling and Patterns
• Observability As Code
• Recommended Practices
• Diagnostics tools
• OpenTelemetry

Facets of Observability

• Observability for Microservices
• Observability in Machine Learning
• Observability of CI/CD Pipelines
• Observability in Azure Databricks
• Recipes

Resources

• Non-Functional Requirements Guidance

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Last update: April 14, 2025