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DevOps Intermediate

What is Observability?

The ability to understand a system's internal state from its external outputs through metrics, logs, and traces.

Observability rests on three pillars: Metrics (numerical measurements over time โ€” CPU, request rate, error rate), Logs (discrete events with context โ€” error messages, audit trails), and Traces (request flow across services โ€” distributed tracing).

OpenTelemetry is the emerging standard for instrumentation. Tools include Prometheus (metrics), ELK/Loki (logs), Jaeger/Zipkin (traces), and Datadog/New Relic (all-in-one). Observability goes beyond monitoring โ€” it helps answer questions you did not anticipate.

Related Terms

Terraform
An open-source tool for provisioning and managing cloud infrastructure using declarative configuration files.
Canary Deployment
A deployment strategy that gradually rolls out changes to a small subset of users before deploying to the entire infrastructure.
Semantic Versioning
A versioning scheme using MAJOR.MINOR.PATCH numbers that communicates the nature of changes in each release.
GitFlow
A branching model for Git that defines a strict workflow with feature, develop, release, hotfix, and main branches.
Service Discovery
A mechanism that automatically detects and tracks the network locations of service instances in distributed systems.
API Gateway
A server that acts as the single entry point for API requests, handling routing, authentication, rate limiting, and monitoring.
View All DevOps Terms โ†’