Jaeger

Added the jaegertracing/all-in-one container to docker-compose with its OTLP HTTP collector enabled and UI port exposed, so local developers get an out-of-the-box trace viewer. Configuration followed the standard documented image/env/port pattern, but it could not actually be started or verified since Docker was unavailable in the sandbox.

Added a pinned jaegertracing/all-in-one image to docker-compose as an OTLP-native self-hosted trace backend, with the UI port bound to localhost only; never actually started the container to confirm traces render.

What worked

Configuration was simple and well-known: one image, OTLP collector env flag, and port mapping, matching the existing docker-compose/nginx self-hosted setup without needing a new vendor account.

What got in the way

No Docker daemon access in the sandbox meant the setup could not be run or verified end-to-end; correctness of the compose wiring is inferred from documentation rather than observed.

Added the jaegertracing all-in-one Docker image to docker-compose as a local trace storage and UI backend wired to the app via OTLP, so traces have somewhere to go without needing a paid APM vendor. Configuration (OTLP port, UI port, env wiring) was straightforward from known defaults, but Docker wasn't available in this environment so the compose file could only be reviewed by eye, not actually run.

Added a jaegertracing/all-in-one service to docker-compose.yml, configured for OTLP/HTTP ingestion and its UI, so developers can view traces locally. Could not actually start or verify it since Docker was not installed in the sandbox, so the configuration was written from known image conventions rather than tested live.

What worked

Standard environment variables and port mappings for the all-in-one image were easy to configure from memory of common usage.

What got in the way

No way to confirm the service actually starts or accepts OTLP spans in this environment, since Docker itself was unavailable.

Added a Jaeger all-in-one service to docker-compose to receive OTLP traces locally, with the UI port bound to localhost only. Configuration (enabling the OTLP receiver, wiring the API service to send traces to it) was straightforward from known conventions, but Docker wasn't available in the sandbox so the container was never actually started or verified.

What got in the way

Could not confirm end-to-end trace delivery since Docker wasn't installed in the environment, so the integration is unverified beyond the compose file syntax.

Added a Jaeger all-in-one container to the deployment config as the OTLP trace backend so traces could be viewed without signing up for a SaaS APM vendor. Configuration was straightforward from known image/env-var conventions but was never actually started or verified in this environment.

What worked

Container and OTLP-endpoint configuration followed a simple, well-known pattern (single image, one enable flag, one exposed port) with no ambiguity in how to wire it to the app.

What got in the way

Could not verify the setup end-to-end (UI reachability, trace ingestion) since the sandbox had no Docker available to actually run the container.

Added a Jaeger all-in-one container to docker-compose, OTLP-enabled and internal-only, so exported traces would have a UI to land in. Configuration was written from prior knowledge of the image's env vars and ports, but the container was never actually started or verified in this session.

What got in the way

Never ran or tested the service, so it's unconfirmed whether the compose configuration actually receives and displays traces end to end.

Added a self-hosted Jaeger all-in-one container as the OTLP trace-export destination, binding its UI to localhost only and documenting SSH-tunnel access for the single-droplet deployment.

What worked

The all-in-one image exposes an OTLP/HTTP receiver on the standard port behind a single enabling env var, which lined up directly with the exporter configuration on the app side.

What got in the way

Docker was not available in the working environment, so the Jaeger container itself could not actually be started or verified in this session; a mock HTTP OTLP receiver was used instead to validate the exporter wiring.

Added the Jaeger all-in-one Docker image as an OTLP-native trace backend in docker-compose, pointing the service's OTLP endpoint at it and restricting the UI port to localhost. Configuration was based on known defaults rather than live testing.

What worked

The all-in-one image's native OTLP ingestion meant no separate collector was needed, keeping the compose config small.

What got in the way

Could not actually start the container or confirm trace ingestion since Docker was unavailable in the sandbox, so the setup remains unverified.

Added a self-hosted Jaeger all-in-one container to docker-compose as an OTLP-native trace backend with a UI, bound to localhost only and reachable via SSH tunnel. Configuration (image, OTLP env var, port binding) was written from existing knowledge rather than run or verified against a live container.

What worked

Straightforward to express as a docker-compose service with OTLP collector enabled and a single UI port to expose locally.

What got in the way

Never actually started the container or confirmed traces arrive, so real-world behavior is unverified.

Added a self-hosted Jaeger all-in-one container to the deployment config as the OTLP trace backend, since the service had no existing tracing vendor. Bound its UI port to localhost only since Jaeger ships with no built-in authentication.

What worked

Being OTLP-native meant it needed zero adapter/translation config to accept spans from the SDK's exporter.

What got in the way

Container was never actually started or exercised in this session (config was authored and syntax-validated only), so runtime behavior and UI functionality weren't observed.

Added a Jaeger all-in-one container to docker-compose as the OTLP trace backend, with its UI port bound to localhost only. Configuration (env vars, OTLP port, image tag) was written from known defaults, but the container was never actually started or verified since the working environment had no docker access.

Added the jaegertracing/all-in-one image as a new docker-compose service to receive OTLP traces, since the project self-hosts everything else and has no existing SaaS APM account. Configuration (OTLP enablement, binding the UI to localhost only) was straightforward to write from known defaults, but the container was never actually started or verified to receive traces in this task.

What worked

OTLP-native all-in-one image meant no separate collector config was needed; environment variable and port setup matched the project's existing self-hosting conventions easily.

What got in the way

Never ran docker compose up, so it's unverified whether traces actually arrive and render in the UI as configured.

Added an all-in-one Jaeger container to the compose stack as the OTLP trace receiver and UI, with persistent storage configured, based on known configuration options rather than a live install.

What got in the way

Could not actually start or verify the container since a container runtime was not available in this environment, so the configuration was never exercised end-to-end.

Added the jaegertracing/all-in-one Docker image as the OTLP trace-receiving backend in docker-compose, with the UI bound to localhost only, and smoke-tested that the container starts cleanly.

What worked

A single docker run with COLLECTOR_OTLP_ENABLED=true started without any configuration issues.

What got in the way

Didn't verify actual end-to-end trace delivery into Jaeger — the instrumentation smoke test used a console exporter instead of sending real spans to the running container.

Added a jaegertracing/all-in-one container to the compose file as an OTLP-native trace destination, binding its UI to localhost only. The container was never actually started in this environment, so ingestion and the UI were not confirmed.

What got in the way

Configuration was authored but never executed in this sandbox, so whether the container starts cleanly and actually ingests the OTLP data was unverified; default in-memory storage also means traces would not survive a restart.

Added a self-hosted all-in-one Jaeger container as the trace storage/UI backend, using badger storage with a persistent volume and a loopback-only UI port, chosen to avoid a third-party SaaS signup for a small single-host deployment.

What worked

Configuration is simple for a single all-in-one container, and badger storage with a named volume gives persistence without extra services.

What got in the way

Could not start the container or confirm traces actually arrive, since no container runtime was available in the working environment.

Added a Jaeger all-in-one container to docker-compose as the OTLP-native trace backend, with badger persistent storage and its UI bound to localhost only for a public-facing host. Configuration was written to match existing compose conventions, but Docker wasn't available in the sandbox so the service could never actually be started or verified to receive traces.

What worked

Known environment variables for enabling OTLP ingestion and persistent badger storage made the compose service definition straightforward to write from memory.

What got in the way

Could not confirm the container actually starts, exposes the OTLP endpoint, or receives spans end-to-end since no docker binary was present to test with.

Added the all-in-one Jaeger image to docker-compose with native OTLP ingestion enabled, bound the UI to localhost only, and documented an SSH tunnel for accessing it on the production host. Never actually started the container, so trace ingestion and the UI were not verified live.

What worked

Native OTLP support meant no separate collector was needed, keeping the added config small.

Added the jaegertracing/all-in-one Docker image as a new docker-compose service to receive OTLP traces from the app, configuring the OTLP collector env var and binding the UI port to localhost only. The service definition was never actually started or exercised against a live instance in this session.

What got in the way

Could not verify the container actually starts or receives spans, since no docker environment was run; also flagged that the all-in-one image's default in-memory storage loses trace history on restart, which may not suit the user's needs long-term.

Added a jaegertracing/all-in-one container to docker-compose.yml as the OTLP trace sink, using native OTLP HTTP ingestion (no separate collector) and badger storage so traces persist across restarts, with the UI port bound to localhost only.

What worked

Modern Jaeger accepting OTLP natively simplified the setup versus running a separate OpenTelemetry Collector.

What got in the way

The container was never actually started in this session, so trace ingestion into Jaeger was configured but not verified end-to-end.

Added the Jaeger all-in-one image as the OTLP trace backend in docker-compose, exposing the OTLP HTTP port only internally and binding the UI port to localhost since it has no built-in auth. Configuration was written and syntax-validated but the container itself was never started or checked for actual trace ingestion.

What worked

The all-in-one image kept setup to a handful of compose lines (one env var to enable the OTLP collector, two port mappings) with no separate collector/storage components needed.

What got in the way

Never actually ran, so it's unverified whether traces exporting from the app are correctly received and rendered in the UI.

Added the Jaeger all-in-one container as the OTLP trace sink in docker-compose, with its UI port bound to localhost only. Configuration was straightforward from known defaults, but the sandbox had no Docker available so the actual trace round-trip was never verified.

What worked

The all-in-one image with COLLECTOR_OTLP_ENABLED made it simple to wire up a complete tracing backend in a few compose lines.

What got in the way

Could not start the container or confirm spans actually arrive in the UI since Docker wasn't available in this environment; this needs a follow-up smoke test on a real host.