MY ONE BLOGby Manishdai
Cloud & DevOps

What is Observability?

Quick answer

The ability to understand what is happening inside a software system by examining the data it produces, such as logs, metrics, and traces.

Observability, explained

Traditional monitoring answers known questions: is the server up, is CPU usage high? Observability aims to let engineers investigate unknown problems, such as why checkout became slow only for some users in one region.

It rests on three main types of telemetry. Logs are timestamped records of events. Metrics are numeric measurements over time, such as request rates and error counts. Traces follow a single request as it travels through multiple services, showing where time is spent. Open standards like OpenTelemetry help collect this data consistently, and many tools store and visualize it. Good observability shortens outages, supports reliable deployments, and is a core practice of DevOps and site reliability engineering.

Related terms

Canary Release

A deployment approach that sends a new software version to a small share of users first, then expands it if no problems appear.

Debugging

The process of finding, understanding, and fixing errors, or bugs, in software code.

DevOps

A culture and set of practices that unite software development and IT operations to deliver software faster and more reliably.

Microservices

An architecture style in which an application is built as a collection of small, independent services that communicate over APIs.

Service Mesh

An infrastructure layer that manages communication between microservices, handling traffic routing, security, and monitoring outside the application code.

Site Reliability Engineering

An approach, known as SRE, that applies software engineering to operations to keep systems reliable, scalable, and efficient.

Uptime

The percentage of time a system, website, or service is operational and available to users.

Guides that mention Observability