Grafana Tempo Tracing

⬢ ティア 2ツール

+$15–25k

給与インパクト

2か月

習得までの期間

普通

難易度

—

職種数

概要

Grafana Tempo is a distributed tracing system for collecting and querying traces from OpenTelemetry-instrumented applications. Integrates with Grafana dashboards. Used by SRE and platform teams to understand microservice behavior. Salary: mid 135-155k. Learn in 4-6 weeks. Complements Kubernetes, microservices, and observability.

Grafana Tempo Tracingとは

Grafana Tempo is a distributed tracing backend for collecting and analyzing execution traces across microservices. Applications send traces (via OpenTelemetry SDKs), Tempo ingests and stores them, and Grafana visualizes them. Traces show the path of a request through multiple services, latencies at each step, and errors. Tempo is optimized for large-scale trace ingestion.

🔧 ツール＆エコシステム

Tempo BackendIngestion PipelineTrace QueryGrafana IntegrationOpenTelemetry SDKsStorage BackendsSampling StrategiesMetrics Export

📋 始める前に

Devops Ci Cd Monitoring Observability

💰 地域別給与

地域	ジュニア	ミドル	シニア
USA	$85k	$140k	$190k
UK	$50k	$90k	$130k
EU	$55k	$95k	$140k
CANADA	$80k	$130k	$175k

🎓 認定資格

Tempo Official Docs Tempo GitHub

⚖ 比較

Opentelemetry Standards

❓ よくある質問

How does Tempo compare to Jaeger?

Tempo is newer and optimized for scale; Jaeger is more established. Both are OpenTelemetry-compatible; choose Tempo for modern deployments.

Does Tempo require Kubernetes?

No, but it's designed for cloud-native deployments. Tempo scales best on Kubernetes.

What's the cost model?

Tempo is open-source and free. You pay for storage (S3, GCS) and compute; pricing depends on trace volume.

Can I correlate traces with logs?

Yes, Grafana integrates traces and logs via trace IDs; easily jump from trace to related logs.

What's the overhead of tracing?

Modern SDKs (OpenTelemetry) add <5% latency overhead; sampling reduces this further.

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