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Enhancing serverless observability with Python

  • Python's vibrant ecosystem powers the serverless space.
  • Serverless observability is a critical element for modern application development.
  • Understanding logs, metrics, and telemetry is essential in serverless observability.
  • Python is the preferred language for serverless functions.
  • Observability starts with thoughtful application design and instrumenting code intentionally.
  • Logs are crucial, but relying solely on them for aggregation can lead to problems that are difficult to solve.
  • Metrics are numeric measurements taken over time and provide simple sums, averages, and percentile values.
  • Telemetry provides detailed insights into code execution for each API call made or method invoked.
  • Adopting observability-driven development (ODD) allows you to design your applications with built-in monitoring, logging, and telemetry.
  • Designing observability into serverless development enhances both quality and functionality and improves the reliability and performance of serverless functions.

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