Deploy and Host Jaeger Tracing on Railway

Jaeger Tracing is a distributed tracing platform for monitoring and troubleshooting transactions across microservices. This template deploys Jaeger in an all-in-one configuration, combining the Collector, Query service, and Jaeger UI in a single container so you can start receiving OpenTelemetry traces with minimal setup.

About Hosting Jaeger Tracing

Hosting Jaeger Tracing on Railway provides a lightweight observability backend for development, testing, debugging, and smaller tracing environments.

This template uses the official jaegertracing/all-in-one image and receives traces through modern OpenTelemetry Protocol (OTLP) endpoints. Applications can send telemetry using OTLP over gRPC or HTTP, while the Jaeger UI provides a visual interface for searching traces, inspecting spans, analyzing latency, and understanding service dependencies.

The default deployment uses in-memory trace storage, so no external Cassandra, Elasticsearch, or OpenSearch database is required. This keeps the stack simple and resource-efficient, but trace data is cleared whenever the service restarts or redeploys.

Included Architecture

Component	Purpose
Jaeger Collector	Receives and processes incoming trace data
Jaeger Query	Reads trace data and serves query requests
Jaeger UI	Searches and visualizes traces
OTLP gRPC	High-performance OpenTelemetry trace ingestion
OTLP HTTP	HTTP-based OpenTelemetry trace ingestion
In-Memory Storage	Temporary trace storage with no external database

                    ┌──────────────────────┐
                    │   Applications       │
                    │ Microservices / APIs │
                    └──────────┬───────────┘
                               │
                    OpenTelemetry / OTLP
                               │
                     ┌─────────┴─────────┐
                     │                   │
                     ▼                   ▼
                OTLP gRPC            OTLP HTTP
                  :4317                :4318
                     │                   │
                     └─────────┬─────────┘
                               ▼
                    ┌──────────────────────┐
                    │    Jaeger Tracing    │
                    │                      │
                    │ Collector / Query    │
                    │     Jaeger UI        │
                    └──────────┬───────────┘
                               │
                               ▼
                         Jaeger UI :16686

Common Use Cases

Distributed Tracing — visualize how requests travel across APIs, services, queues, and databases.
Performance Analysis — identify slow services, operations, and downstream dependencies.
Root Cause Analysis — inspect individual spans to understand where failed or slow transactions originate.
Microservice Debugging — correlate operations across distributed application components.
OpenTelemetry Testing — validate application instrumentation and exported OTLP telemetry.
Latency Investigation — compare service duration, span timing, and request dependencies.
Development Observability — quickly deploy a tracing backend without operating a separate storage cluster.

Jaeger Tracing vs Other Observability Tools

Platform	Distributed Tracing	Metrics	Logs	Self-Hosted	Best Fit
Jaeger	✅ Primary focus	⚠️ Limited	⚠️ Limited	✅ Yes	Distributed tracing and request analysis
Grafana Tempo	✅ Yes	Via Grafana stack	Via Grafana stack	✅ Yes	Large-scale tracing with Grafana
Zipkin	✅ Yes	❌	❌	✅ Yes	Lightweight distributed tracing
SigNoz	✅ Yes	✅ Yes	✅ Yes	✅ Yes	Full observability platform
Datadog APM	✅ Yes	✅ Yes	✅ Yes	❌ Managed	Enterprise hosted observability

Jaeger is particularly useful when tracing is the primary requirement and you want a focused, self-hosted interface for analyzing request flows without deploying a larger observability platform.

Dependencies for Jaeger Tracing Hosting

Jaeger All-in-One — combines Collector, Query, and UI functionality.
OpenTelemetry Instrumentation — applications need to generate and export trace data.
Railway Private Networking — allows services in the same Railway project to send traces privately.
Railway Public Networking — exposes the Jaeger UI over HTTPS.
In-Memory Storage — default trace storage for this lightweight deployment.

No external database is required for the default template.

Deployment Dependencies

Implementation Details

This template exposes the primary Jaeger and OpenTelemetry ports:

Port	Protocol	Purpose
16686	HTTP	Jaeger UI and Query interface
4317	OTLP gRPC	OpenTelemetry trace ingestion
4318	OTLP HTTP	OpenTelemetry trace ingestion

The public Railway domain should target:

Applications running inside Railway can send traces to Jaeger over private networking using OTLP.

Example OTLP HTTP endpoint:

http://:4318

Example OTLP gRPC endpoint:

:4317

The Docker image is intentionally minimal:

FROM jaegertracing/all-in-one:latest

EXPOSE 16686 4317 4318

No custom start command is required.

Health Check

The Jaeger UI is exposed on port 16686, making the root path suitable for a simple Railway health check:

This allows Railway to verify that the Jaeger service is running and responding before routing traffic to it.

Trace Storage and Persistence

This template uses in-memory trace storage.

That means:

No external database is required.
No Jaeger persistent volume is required.
Trace ingestion is fast and lightweight.
Trace data is temporary.

When the Jaeger service restarts or redeploys, previously collected traces are removed.

This configuration is ideal for:

Development
Testing
Debugging
Temporary observability environments
Learning OpenTelemetry

For long-term production trace retention, use a persistent storage backend such as Elasticsearch, OpenSearch, Cassandra, or another supported Jaeger storage solution.

Connecting Your Applications

Your applications must be instrumented with OpenTelemetry or another Jaeger-compatible tracing library.

A typical architecture looks like:

Application
    │
    ├── OpenTelemetry SDK
    │
    ▼
OTLP Exporter
    │
    ├── gRPC :4317
    │
    └── HTTP :4318
            │
            ▼
      Jaeger Tracing
            │
            ▼
        Jaeger UI

Once traces are received, open the Jaeger dashboard and select the service you want to inspect.

You can then analyze:

Complete traces
Individual spans
Service operations
Request duration
Errors
Parent-child span relationships
Cross-service dependencies

Getting Started

Deploy Jaeger Tracing.
Wait until the service passes its health check.
Open the public Railway URL to access the Jaeger UI.
Instrument your application using OpenTelemetry.
Configure the application's OTLP exporter to use the Jaeger private endpoint.
Generate some requests through your application.
Return to the Jaeger UI.
Select your service and search for traces.
Open a trace to inspect its complete request lifecycle.

Why Deploy Jaeger Tracing on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Jaeger Tracing on Railway, you get a lightweight distributed tracing backend with OpenTelemetry support, private OTLP ingestion, a web-based trace explorer, health monitoring, and no external database requirement for development and debugging workloads.