A practical guide to setting up Grafana Tempo, configuring key components, and understanding how to use tracing across your services.

Last9 is a  blog focusing on DevOps practices, cloud architecture, and software engineering methodologies. Through insightful articles, tutorials, and case studies, Last9 addresses various aspects of modern software development, including continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), containerization, and microservices architecture. By sharing best practices, real-world experiences, and expert insights, Last9 equips developers, DevOps engineers, and IT professionals with the knowledge and tools needed to build, deploy, and manage resilient and scalable cloud-native applications.

Last9

Grafana Tempo is a cost-effective distributed tracing backend that stores trace data in object storage without heavy indexing. This guide covers Tempo's architecture (distributor, ingester, compactor, querier), installation methods via Docker Compose and Kubernetes Helm, configuration tuning for production workloads, and integration with OpenTelemetry for application instrumentation. Key topics include block sizing, retention policies, WAL configuration, scaling strategies, and connecting Tempo with Grafana for trace visualization alongside metrics and logs.

Grafana Tempo: Setup, Configuration, and Best Practices

Set up Your Grafana Tempo Instance in Minutes

Configure Grafana Tempo for Optimal Performance

Integrate Grafana Tempo with Your Applications

Query and Explore Traces in Grafana Tempo

Your Observability with Grafana Tempo + Last9