Observability Design Patterns for Microservices
Incorporating observability in microservices can uncover previously unknown issues that arise from interactions between services, ultimately helping to create a more resilient and secure application. This can be achieved through various design patterns.
It's important to note that implementing observability design patterns is not just limited to collecting telemetry data such as logs, metrics, and traces, but also embracing a data-driven approach when debugging and creating a feedback system to improve application performance and security.
Below are six effective observability design patterns for microservice architecture:
- Tracing distributed requests
- Implementing a Health Check API
- Consolidating logs
- Keeping track of Audit logs
- Monitoring exceptions
- Measuring application metrics
Learn more about the benefits, best practices, examples, etc here: 6 Observability Design Patterns for Microservices Every CTO Should Know
