
Alloy in action: Build telemetry pipelines with OpenTelemetry and Prometheus
- Monday, 20 April
- 13:00
- 3 hours
- Palau de Congressos de Catalunya
- Hands-On Lab
Whether you’re observing applications, infrastructure, or both, Alloy enables you to collect, process, and export telemetry so you can scale and future-proof your observability strategy.
In this hands-on lab, you’ll build telemetry pipelines with Alloy — an open source distribution of the OpenTelemetry Collector with built-in Prometheus pipelines — from start to finish. Using Alloy, you’ll receive, transform, and export telemetry from a sample application to observability backends within the Grafana LGTM stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics).
By the end of three hours, you will:
- Understand core Alloy components and how they fit together
- Use Alloy’s configuration language
- Configure Prometheus and OpenTelemetry pipelines within Alloy
- Collect, process, and export telemetry data to Grafana observability backends
- Troubleshoot pipelines using the debug UI
- Visualize telemetry data using Grafana dashboards
Requirements:
- Laptop with WiFi access
- Linux/MacOS/WSL2
- Docker
- Docker compose
- Administrator or sudo access to build and run Docker containers
Some familiarity with Alloy, and with general telemetry collection concepts like scraping or remote_writing, is beneficial but not required.
This session is tailored for developers and SREs.
Hands-on labs are only available for in-person conference attendees, and they will all be held on Monday, 20 April. You may register for up to one morning lab and one afternoon lab. Hands-on lab tickets can only be purchased along with a conference ticket.
Speakers

Mischa Thompson
Senior Software Engineer — Grafana Labs

Lisa Jung
Staff Developer Advocate — Grafana Labs
Register now to join us in Barcelona
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By registering for this event you agree to the event terms and conditions and the code of conduct. You also agree to be emailed about event details and related product-level information. Paid hands-on labs are non-refundable, but may be transferred.