Observability Patterns

Observability focuses on understanding a system's internal state by examining its external outputs. It goes beyond traditional monitoring to enable proactive debugging and insight into complex system behavior.

Wikipedia

Health Check Endpoint

architectural observability

The Health Check Endpoint pattern provides a way to expose an endpoint that reports the overall health and status of an application or service. This endpoint allows external systems, such as load balancers, monitoring tools, and other services, to determine if the application is running and able to handle requests. …

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Service Mesh

distributed systems infrastructure observability

A service mesh is a dedicated infrastructure layer for facilitating service-to-service communication within a microservices application. It manages concerns like service discovery, load balancing, encryption, observability, and traffic management, abstracting these complexities away from individual service code. The …

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Metrics & Alerts

observability monitoring operational

The Metrics & Alerts pattern is a fundamental aspect of operational monitoring and observability. It involves collecting data points (metrics) from a system over time, aggregating or processing them, and then triggering notifications (alerts) when those metrics cross predefined thresholds. This allows operators to …

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Correlation ID

transversal observability distributed systems

The Correlation ID pattern is a technique used in distributed systems to track a single request as it flows across multiple services. It assigns a unique identifier to each request at its entry point (typically the API Gateway or initial client request) and propagates this identifier throughout all subsequent service …

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Distributed Tracing

observability behavioral microservices

Distributed tracing is a methodology used to profile and monitor transactions as they flow through a distributed system. Unlike traditional logging and monitoring, which focus on individual service metrics, distributed tracing tracks requests across multiple services, providing insight into the entire end-to-end …

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Log Aggregation

behavioral observability distributed systems

Log Aggregation is a technique for collecting logs from multiple sources – applications, servers, network devices, etc. – in a centralized location. This allows for easier analysis, monitoring, and troubleshooting of complex systems. Instead of having to access individual machines to investigate issues, this pattern …

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Health Check Endpoint

Service Mesh

Metrics & Alerts

Correlation ID

Distributed Tracing

Log Aggregation