Jaeger Distributed Tracing

This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

Overview

Jaeger is the open source distributed tracing platform that lets you follow a single request across every microservice it touches, surface latency hotspots, and visualise service-to-service dependencies. It is a graduated project of the Cloud Native Computing Foundation and is licensed under the Apache License 2.0. This image delivers Jaeger as a fully installed and configured all-in-one deployment, so a complete tracing back end is running within minutes of launch. The current release available is the Jaeger 1.x series.

Tracing Stack

The jaeger-all-in-one binary runs as a systemd service combining the collector, the storage back end and the query UI in one process. Application spans arrive over the OpenTelemetry Protocol on both gRPC (port 4317) and HTTP (port 4318), as well as on the legacy Jaeger collector port (14268), and are persisted to an embedded Badger key value store on the dedicated data volume. The Jaeger Query UI is fronted by an nginx reverse proxy on port 80 with HTTP basic authentication.

Secure First Boot

On the first boot of your instance a one shot service generates a fresh UI administrator password, unique to that instance, writes it as an nginx htpasswd entry, and stores the plain text value in a root only file. No shared or default credentials ship in the image.

Ready To Use

The Jaeger service, the nginx reverse proxy, the storage directory and the authentication credentials are all prepared. Point any OpenTelemetry SDK at the OTLP endpoint, browse to the instance address on port 80 to reach the Jaeger Query UI, and start exploring traces. Badger trace data lives on a dedicated, independently resizable data disk.

cloudimg Support

24/7 technical support by email and chat. Help with Jaeger deployment, OpenTelemetry instrumentation, sampling and retention tuning, and integrating Jaeger with the rest of your observability stack.

Use Cases

Distributed tracing for microservices. Latency root cause analysis. Service dependency mapping. Performance regression detection in continuous delivery pipelines. Observability back end for OpenTelemetry instrumented applications.

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