Features
6
Use cases
3
Watch outs
3
What it does
Key features
- OpenTelemetry, Jaeger, Zipkin support — zero APAC re-instrumentation
- Object storage backend — APAC S3/GCS trace retention at Elasticsearch fraction of cost
- TraceQL — structured APAC span filtering by attribute, duration, status
- Native Grafana — trace-to-log and trace-to-metric APAC correlation
- Tempo Metrics — automatic RED metrics from APAC trace data
- Multi-tenancy — APAC team isolation in shared Tempo cluster
When to reach for it
Best for
- APAC platform teams running Loki and Prometheus completing the observability triad with tracing
- High trace volume APAC environments needing cost-efficient long-term trace retention
- APAC engineering teams already using OpenTelemetry — Tempo OTLP receiver requires no SDK changes
Don't get burned
Limitations to know
- ! No full-text trace search without optional search index — finding APAC traces without TraceID requires additional storage
- ! Trace sampling strategy must be configured to avoid storing every APAC span at high traffic volumes
- ! Cold object storage retrieval latency higher than Jaeger with SSD-backed Elasticsearch for real-time APAC debugging
Context
About Grafana Tempo
Grafana Tempo stores distributed traces in S3-compatible object storage without full indexing, enabling months of APAC trace retention at a fraction of Jaeger-with-Elasticsearch cost. TraceQL query language enables APAC platform teams to filter spans by service name, duration, status, and custom attributes. Native Grafana integration links APAC trace spans to Loki log lines and Prometheus metrics recorded during the same request for correlated observability debugging.
Beyond this tool
Where this category meets practice depth.
A tool only matters in context. Browse the service pillars that operationalise it, the industries where it ships, and the Asian markets where AIMenta runs adoption programs.
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