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Agentic AI Atlas · Observability Stack (OpenTelemetry, Prometheus, Grafana, Loki, Tempo)
stack-profile:observability-stacka5c.ai
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Observability Stack (OpenTelemetry, Prometheus, Grafana, Loki, Tempo) overview

A full-spectrum observability platform covering metrics, logs, and distributed traces. OpenTelemetry provides vendor-neutral instrumentation SDKs and the OpenTelemetry Collector for receiving, processing, and exporting telemetry data. Prometheus scrapes and stores time-series metrics with PromQL for alerting and dashboarding. Grafana serves as the unified visualization layer, querying across all three signal types. Loki indexes and queries log streams using the same label-based approach as Prometheus, avoiding the cost of full-text indexing. Tempo stores distributed traces with minimal infrastructure overhead via object-storage backends. Go is the dominant language in this ecosystem for building exporters, collectors, and custom instrumentation. This stack replaces commercial APM platforms for teams that want full control over their telemetry pipeline at scale.

StackProfileOutgoing · 20Incoming · 0

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displayName
Observability Stack (OpenTelemetry, Prometheus, Grafana, Loki, Tempo)
description
A full-spectrum observability platform covering metrics, logs, and distributed traces. OpenTelemetry provides vendor-neutral instrumentation SDKs and the OpenTelemetry Collector for receiving, processing, and exporting telemetry data. Prometheus scrapes and stores time-series metrics with PromQL for alerting and dashboarding. Grafana serves as the unified visualization layer, querying across all three signal types. Loki indexes and queries log streams using the same label-based approach as Prometheus, avoiding the cost of full-text indexing. Tempo stores distributed traces with minimal infrastructure overhead via object-storage backends. Go is the dominant language in this ecosystem for building exporters, collectors, and custom instrumentation. This stack replaces commercial APM platforms for teams that want full control over their telemetry pipeline at scale.
composes
  • tool:opentelemetry
  • tool:prometheus
  • tool:grafana
  • tool:loki
  • tool:tempo
  • language:go

Outgoing edges

applies_to2
  • domain:observability·DomainObservability
  • domain:devops·DomainDevOps
composed_of8
  • tool:opentelemetry·ToolOpenTelemetry
  • tool:prometheus·ToolPrometheus
  • tool:grafana·ToolGrafana
  • tool:loki·ToolLoki
  • tool:tempo·ToolGrafana Tempo
  • language:go·LanguageGo
  • tool:kubernetes·ToolKubernetes
  • tool:docker·ToolDocker
follows_workflow2
  • workflow:alert-tuning·WorkflowAlert Tuning
  • workflow:slo-burn-rate-review·WorkflowSLO Burn Rate Review
requires_skill_area5
  • skill-area:observability-instrumentation·SkillAreaObservability Instrumentation
  • skill-area:distributed-tracing·SkillAreaDistributed Tracing
  • skill-area:metrics-dashboarding·SkillAreaMetrics & Dashboarding
  • skill-area:log-aggregation·SkillAreaLog Aggregation & Analysis
  • skill-area:alerting-oncall·SkillAreaAlerting & On-Call Management
used_by_role3
  • role:observability-engineer·RoleObservability Engineer
  • role:sre·Role
  • role:platform-engineer·Role

Incoming edges

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