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.