Distributed Tracing on a Budget

1. 1Set up OpenTelemetry Collector with tail-based sampling policies to filter high-cardinality spans
2. 2Configure Tempo for trace storage and Loki for correlated logs
3. 3Implement the sampling decision engine to keep storage costs under $50/month at 10k RPM
4. 4Create Grafana dashboards to visualize trace and log data
5. 5Apply the trace-to-logs correlation pattern to replace expensive APM tools

This tutorial benefits backend engineers and DevOps teams at startups who need to monitor and troubleshoot their applications without breaking the bank. By following these steps, they can set up a complete observability pipeline and reduce storage costs

💡 Using OpenTelemetry Collector with tail-based sampling policies and Tempo for trace storage can significantly reduce storage costs while maintaining observability

🚀 Set up a cost-effective observability pipeline for your startup's backend with OpenTelemetry Collector, Tempo, Loki, and Grafana! 💸 Reduce storage costs to under $50/month 📊