Implementing Grafana Alloy via Helm in Kubernetes
Read the full guide on docs.beyondyou.my.idGrafana Alloy is a paradigm shift in telemetry collection — instead of running separate agents for metrics (Prometheus node_exporter), logs (Fluent Bit), and traces (OpenTelemetry Collector), Alloy handles all three in a single binary with a unified configuration language. Deploying it via Helm on Kubernetes simplifies your observability stack dramatically.
Key Takeaways
- Grafana Alloy is a vendor-neutral distribution of the OpenTelemetry Collector with native Prometheus pipeline support
- A single Alloy instance can collect metrics (Prometheus-style), logs (Loki-compatible), and traces (OTLP)
- The Alloy configuration syntax is declarative and composable — pipelines are built from components
- Helm deployment provides DaemonSet (node-level collection) and Deployment (cluster-level) modes
- Migration from Prometheus Agent or Grafana Agent is straightforward with backward compatibility
Quick Overview
Alloy uses a component-based architecture where each component is a self-contained processing unit. Components are connected through pipelines: prometheus.scrape → prometheus.relabel → prometheus.remote_write. For logs: loki.source.kubernetes → loki.process → loki.write. For traces: otelcol.receiver.otlp → otelcol.processor.batch → otelcol.exporter.otlp.
The Helm chart deploys Alloy as a DaemonSet for node-level metrics and log collection, with optional Deployment mode for cluster-level services. Configuration is managed via ConfigMap and can be updated without restarting pods using Alloy’s hot-reload capability.
Read the full guide: Implementing Grafana Alloy via Helm → — includes complete Helm values, pipeline configuration examples, and migration from Grafana Agent.