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Grafana Tempo Tracing

⬢ SADARKAA 2Meeshaalee
+$15–25k
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Ji'oota 2
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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 maali?

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.

🔧 MEESHAALEE & SIRNA NAANNOO
Tempo BackendIngestion PipelineTrace QueryGrafana IntegrationOpenTelemetry SDKsStorage BackendsSampling StrategiesMetrics Export

📋 Osoo hin jalqabin dura

Devops Ci CdMonitoring Observability

💰 Miindaa naannoodhaan

NaannooJalqabaaGiddu-galeessaAngafa
USA$85k$140k$190k
UK£50k£90k£130k
EU€55k€95k€140k
CANADAC$80kC$130kC$175k

⚖ Walbira qabi

Opentelemetry Standards

❓ Gaaffiiwwan Deddeebi'an

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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