Next-Level Observability with OpenTelemetry
As backend systems grow in complexity, basic logging becomes insufficient for understanding errors, necessitating more advanced observability practices. OpenTelemetry provides a unified framework for collecting traces, metrics, and logs to give developers full context into system behavior. By instrumenting a Kotlin and Spring Boot service with OpenTelemetry, developers can trace requests across distributed components and improve debugging efficiency.
- ▪OpenTelemetry is an open-source observability framework that collects traces, metrics, and logs from applications.
- ▪Traces in OpenTelemetry consist of spans that represent individual units of work, each with unique identifiers to track request lifecycles.
- ▪Logs alone lack execution context in distributed systems, making it difficult to correlate events across concurrent operations.
- ▪Metrics in OpenTelemetry provide aggregated data over time, such as latency and error rates, enabling system health monitoring.
- ▪The tutorial demonstrates how to instrument a Kotlin and Spring Boot backend service using OpenTelemetry for improved observability.
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Kotlin A concise multiplatform language developed by JetBrains Follow Follow: X X RSS RSS Visit the Kotlin Site All News Releases Multiplatform Ecosystem Kotlin News Tutorials Next-Level Observability with OpenTelemetry Alina Dolgikh This tutorial was written by an external contributor. Kevin Kimani Kevin Kimani is a software engineer and technical writer with over three years of experience in software development and documentation. He works across full-stack web development, database design, RESTful API development, and technical writing for engineer audiences. His writing focuses on clear API documentation, tutorials, and how-to guides that help developers understand and use products more easily.
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