Key features
- Unified dashboards — visualise metrics, logs, and traces from 300+ data sources in one interface
- Grafana Sift — AI-powered incident investigation surfacing anomalies and related signals automatically
- AI dashboard generation — generate panels and queries from natural language descriptions
- Alerting — unified alert management with routing to Slack, PagerDuty, OpsGenie, and email
- Grafana Cloud — managed SaaS with APAC data residency (Singapore, Sydney regions)
- OnCall — integrated on-call scheduling and alert routing for APAC engineering teams
- Plugins — 300+ data source and panel plugins extending the platform
Best for
- APAC platform and SRE teams running Kubernetes with Prometheus metrics and wanting open-source observability
- Engineering organisations wanting vendor-neutral observability that can query multiple monitoring backends
- APAC startups and scale-ups building observability without proprietary vendor lock-in or per-host pricing
- Teams already using Prometheus wanting a professional visualisation and alerting layer without additional cost
Limitations to know
- ! Self-managed complexity — running Grafana + Prometheus + Loki + Tempo requires APAC platform team operational expertise
- ! Dashboard configuration learning curve — Grafana query language (PromQL, LogQL) requires investment for new users
- ! AI features are strongest in Grafana Cloud; self-hosted Grafana has limited AI capability without cloud connectivity
- ! Not a full APM replacement — Grafana is strongest as a visualisation layer; deep APM requires pairing with OpenTelemetry or Tempo
About Grafana
Grafana is an open-source observability and visualisation platform that unifies metrics, logs, and traces from any data source — Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, CloudWatch, Datadog, and 300+ other sources — into interactive dashboards and alerting, enabling APAC platform engineering and SRE teams to build comprehensive observability without being locked into a single proprietary monitoring vendor.
Grafana's APAC adoption is widespread across technology companies and cloud-native enterprises — particularly those running Kubernetes workloads where the Prometheus (metrics) + Loki (logs) + Tempo (traces) + Grafana (visualisation) LGTM stack has become the open-source observability standard. For APAC engineering organisations that prefer open-source infrastructure control over managed SaaS observability platforms (Datadog, New Relic), Grafana's composable architecture enables custom observability stacks tailored to specific APAC infrastructure requirements.
Grafana's AI features — including Grafana Sift (which uses AI to automatically surface anomalies, related logs, and contributing factors during incident investigation), AI dashboard generation (generating dashboard panels and queries from natural language descriptions), and AI-assisted alerting (suggesting alert thresholds based on historical metric patterns) — address the most time-consuming aspects of observability work: the manual correlation during incidents and the dashboard configuration overhead during initial setup.
Grafana Cloud — the managed SaaS version — provides APAC teams with Grafana's full capabilities without the operational overhead of self-managing the backend data stores. Grafana Cloud's free tier (10,000 metric series, 50GB logs, 50GB traces) is sufficient for APAC startups evaluating the stack; paid tiers scale linearly for larger APAC engineering organisations. Grafana Cloud runs on AWS infrastructure with APAC regions including Singapore and Sydney, providing data residency proximity for APAC observability data.
Grafana's OnCall integration — a Grafana-native on-call management tool that routes Grafana alerts to the appropriate APAC on-call engineer through Slack, phone, and SMS — completes the observability-to-response workflow without requiring a separate PagerDuty subscription for APAC teams already using Grafana as their primary observability platform.
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