Analysis updated 2026-05-18
Learn how OpenTelemetry, Prometheus, Loki, and Tempo fit together in a monitoring stack.
Practice building Grafana dashboards and PromQL queries against simulated telemetry.
Prepare a demo or blog post about observability for Boomi style integration platforms.
| velkugan/boomi-obs-started | 0xallam/my-recipe | 0xhassaan/nn-from-scratch | |
|---|---|---|---|
| Stars | 0 | — | 0 |
| Language | Python | Python | Python |
| Last pushed | — | 2022-11-22 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 2/5 | 2/5 | 4/5 |
| Audience | ops devops | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Just needs Docker installed, first run pulls about 1.5GB of images.
Boomi-Obs-Started is a local demo environment for learning what observability for Boomi integration platforms looks like, without needing a real Boomi account. It runs a full open source monitoring stack in Docker: a telemetry collector that gathers traces, logs, and metrics, then feeds them into Tempo for traces, Loki for logs, and Prometheus for metrics, all displayed through a pre built Grafana dashboard called Boomi fleet overview. Instead of connecting to a real Boomi Atom, the project includes a generator script that produces fake telemetry shaped like what a real Boomi integration platform would emit: three simulated integration processes running on a pretend Atom, one of which is deliberately set up to fail sometimes so you can see what failures look like in the dashboards. The project is explicit that this data is simulated, and points out that a real Boomi Atom with its native telemetry plugin could later be swapped in for the generator while keeping the rest of the stack unchanged. Getting started only requires Docker installed on your machine. Running one command brings up six services together, and after a short wait, charts and stat tiles in Grafana begin filling in with data, speeding up thanks to a compressed time setting that can be adjusted for faster demos or more realistic pacing. The README also includes troubleshooting notes for common snags, like panels appearing empty because metric names changed between collector versions, or the generator needing an extra minute to install its dependencies on first run. This is best suited for someone learning observability concepts, practicing with Grafana dashboards and PromQL queries, or preparing a demo or blog post about monitoring Boomi style integrations, rather than someone looking for a production monitoring tool or an official Boomi product.
A local Docker stack that simulates Boomi integration telemetry and visualizes it in Grafana, useful for learning observability concepts before connecting a real Boomi Atom.
Mainly Python. The stack also includes Python, Docker, Grafana.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Verify against the repo before relying on details.