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Updates and recent posts about Grafana Tempo.. Course
@eon01 published a course, 3 weeks, 3 days ago
Founder, FAUN.dev
News FAUN.dev() Team Trending
@kaptain shared an update, 3 weeks, 4 days ago
FAUN.dev()
Kubernetes v1.35 Timbernetes Release: 60 Enhancements
Kubernetes v1.35, the Timbernetes Release, debuts with 60 enhancements, including stable in-place Pod updates and beta features for workload identity and certificate rotation.
Activity
@kaptain added a new tool Kubernetes Gateway API , 3 weeks, 4 days ago.
News FAUN.dev() Team Trending
@kala shared an update, 3 weeks, 4 days ago
FAUN.dev()
Google Releases Magika 1.0: AI File Detection in Rust
Google releases Magika 1.0, an AI file detection system rebuilt in Rust for improved performance and security.
News FAUN.dev() Team Trending
@kala shared an update, 3 weeks, 4 days ago
FAUN.dev()
Google’s Cloud APIs Become Agent-Ready with Official MCP Support
Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.
Activity
@devopslinks added a new tool BigQuery , 3 weeks, 4 days ago.
News FAUN.dev() Team Trending
@devopslinks shared an update, 3 weeks, 4 days ago
FAUN.dev()
AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.
Activity
@devopslinks added a new tool ServiceNow , 3 weeks, 4 days ago.
Activity
@cmndrsp0ck started using tool Terraform , 3 weeks, 4 days ago.
Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.
Tempo’s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.
Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.
