Build monitoring covering external availability, infrastructure resources, application logs and business metrics. Use SLOs, alerts and postmortems for continuous improvement.
A monitoring dashboard full of numbers raises one question: what should you actually watch? This guide divides metrics into three layers — server (CPU/memory/disk/bandwidth), application (rate/errors/latency), and business (conversion/registrations/orders) — with the meaning and typical alert thresholds for each, plus a ready-to-use metrics checklist table.
Too many alerts numb the on-call team with "cry wolf" fatigue, so real incidents go unnoticed; too few alerts hide failures until users complain. Good alert design must be both "not noisy" and "not missing anything". This guide explains how to set thresholds, assign P1–P4 severities, and avoid alert fatigue, with copy-ready alert rule examples.
Synthetic monitoring uses probes from around the globe to actively simulate user requests and critical business flows, forming the first line of defense beyond real user monitoring. This guide covers uptime checks, browser transaction scripts, and multi-location alerting.
An SLO is not a number on a metrics wall — it is a shared contract between product and engineering. Drawing on Google SRE methodology, this article walks through SLI selection, SLO targets, error budgets, and burn-rate alerting.
Good alert rules first suppress noise, then notify precisely. Based on the official Prometheus docs, this article explains PromQL rule expressions and how to design Alertmanager grouping, routing, inhibition, and silences.
Centralized log querying accelerates fault diagnosis. This article compares ELK and Grafana Loki, covering label design, LogQL queries, and turning logs into metrics in practice.
Real User Monitoring (RUM) turns frontend experience into observable data. Based on Datadog RUM and the official web.dev docs, this article covers Core Web Vitals collection, session analysis, and frontend alerting.
AWS, Azure, and Google Cloud each ship a native monitoring stack. This article compares CloudWatch, Azure Monitor, and Google Cloud Monitoring so you can pick the right approach for your cloud environment.
When a request crosses many services, only distributed tracing reveals the full path. Based on the official OpenTelemetry docs, this article covers spans, trace context, context propagation, and sampling strategies.
Alert fatigue makes teams slow to respond during real incidents. Drawing on Google SRE's on-call philosophy, this article explains severity tiers, notification noise reduction, and on-call rotation design.
Grafana Cloud cost attribution now extends to Synthetic Monitoring and k6 performance testing: labels break metrics, logs, traces, checks, and load-test spend down by team, environment, or service, supporting chargeback and showback.
Released June 24, 2026, Grafana 13.1 brings Git Sync root-level sync and signed commits, Grafana Assistant across more data sources, section-level variables GA, and a revamped query editor in public preview.