How do you say Jaeger? #docker #kubernetes #microservices #tracing #devops #serverless #git #github

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What is Jaeger?
Jaeger is an open-source, end-to-end distributed tracing tool developed by Uber Technologies. It is used for monitoring and troubleshooting microservices-based distributed systems. Jaeger helps in tracking how requests propagate through a system, providing valuable insights into the performance and behavior of microservices.

What is Jaeger Used For?
Distributed Context Propagation: Jaeger traces the path of a request as it flows through various services, capturing and propagating contextual information.
Performance Optimization: By identifying performance bottlenecks and latency issues, Jaeger helps in optimizing system performance.
Root Cause Analysis: Jaeger assists in diagnosing issues by pinpointing failures or performance degradation in the request flow.
Monitoring and Alerting: It can be integrated with monitoring and alerting systems to notify teams about anomalies in the system.
Service Dependency Analysis: Jaeger provides a visual representation of service dependencies, helping in understanding the interaction between services.
Benefits of Using Jaeger
Improved Observability: Jaeger enhances observability by providing detailed insights into request flows, service dependencies, and performance metrics.
Faster Troubleshooting: With detailed trace data, developers can quickly identify and resolve issues, reducing mean time to resolution (MTTR).
Scalability: Jaeger is designed to handle high-throughput environments, making it suitable for large-scale microservices architectures.
Open-Source and Community Support: Being open-source, Jaeger benefits from a large community of contributors and users, ensuring continuous improvement and support.
Integration with Existing Tools: Jaeger integrates well with other observability and monitoring tools like Prometheus, Grafana, and Kubernetes, providing a cohesive observability solution.
Flexibility: Jaeger supports various storage backends and deployment options, including Kubernetes, making it adaptable to different environments.
How Jaeger Works
Instrumentation: Services are instrumented to create and propagate traces. This typically involves adding tracing libraries to the application code.
Trace Collection: Traces are collected and sent to the Jaeger backend. These traces contain spans, which represent individual units of work within a request.
Storage: Collected traces are stored in a backend storage system, such as Elasticsearch, Cassandra, or Kafka.
Visualization and Analysis: The Jaeger UI provides visualization tools to explore and analyze trace data, allowing users to drill down into specific traces and spans.
By providing comprehensive tracing capabilities, Jaeger helps ensure that microservices-based systems remain reliable, performant, and maintainable.