Build, operate, and troubleshoot a complete production observability platform with Grafana and the modern cloud-native telemetry stack. Production Observability with Grafana is a practical, operator-focused guide for DevOps engineers, SREs, platform teams, Kubernetes administrators, cloud engineers, and advanced homelab users who want to move beyond basic dashboards and build a full production-ready observability environment. >Rather than teaching isolated features, the book follows a practical workflow: PLAN → BUILD → INSTRUMENT → OBSERVE → BREAK → INVESTIGATE → FIX → HARDEN → VALIDATE >Inside the book, you will learn how to: Design a modern Grafana-centered observability architecture Collect production metrics with Prometheus and Grafana Alloy Build efficient PromQL queries and reusable Grafana dashboards Scale metrics with Grafana Mimir and object storage Centralize and investigate logs with Grafana Loki and LogQL Implement distributed tracing with Tempo and OpenTelemetry Build OTLP telemetry pipelines with Grafana Alloy Add continuous profiling with Grafana Pyroscope Correlate metrics, logs, traces, and profiles for root-cause analysis Monitor Kubernetes clusters, nodes, Pods, workloads, and applications Deploy observability components with Helm Secure Grafana with authentication, RBAC, TLS, teams, folders, and service accounts Manage dashboards and configuration with Git, Git Sync, Terraform, and GitOps Build production alerts, notification policies, SLIs, SLOs, and error budgets Control metric cardinality, log volume, trace sampling, retention, and observability cost Design for high availability, backup, disaster recovery, and operational resilience Diagnose missing telemetry, failed Alloy pipelines, remote-write problems, Loki ingestion failures, trace gaps, and profiling issues >If you want to go beyond simply creating Grafana dashboards and learn how to build a complete, secure, scalable, and operationally useful observability platform, Production Observability with Grafana provides the practical path from first architecture to production operations.
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