Jaeger
TLDR: Jaeger is an open-source distributed tracing system introduced by Uber in 2015 to monitor and troubleshoot microservices-based architectures. It helps DevOps teams track requests as they traverse complex systems, identifying bottlenecks, errors, and latency issues. Jaeger supports popular standards like OpenTracing and OpenTelemetry, making it a versatile tool for distributed systems.
Jaeger provides key features such as transaction tracing, root cause analysis, and service dependency visualization. For example, it maps the flow of requests across multiple services, displaying where delays occur. This makes it an essential tool for identifying slow API Endpoints, inefficient database queries, or resource contention in microservices.
https://www.jaegertracing.io/docs/latest/overview/
Jaeger integrates with modern monitoring ecosystems, including Prometheus, Grafana, and Kubernetes. It can ingest data from instrumented applications written in various programming languages, including Java, Python, and Go. By combining traces with metrics and logs, Jaeger provides a comprehensive view of system performance.
https://www.jaegertracing.io/docs/latest/architecture/
To ensure security and scalability, Jaeger supports encrypted communication and can be deployed in both cloud and on-premises environments. Its lightweight and extensible architecture make it suitable for organizations of all sizes, helping maintain reliability and improving user experience in distributed systems.