Teams preferring Grafana, Prometheus, Loki, Tempo and open telemetry patterns.
Cardinality, retention and collection architecture still need design.
Reviewed 2026-10-04 · Observability platforms
Grafana CloudvsAzure Monitor
A decision guide for teams choosing an operating model—not a feature-count contest. Validate current limits and pricing in the linked product documentation before committing.
01 / Short answer
Choose for the constraint you cannot ignore.
Grafana Cloud: Teams preferring Grafana, Prometheus, Loki, Tempo and open telemetry patterns.
Azure Monitor: Azure estates wanting telemetry tied to Azure resources and operations.
02 / Decision matrix
The operating differences.
| Criterion | Grafana Cloud | Azure Monitor |
|---|---|---|
| Operating model | Managed observability built around Grafana and open telemetry backends. | Azure-native collection and analysis across metrics, logs, traces and resource health. |
| Best fit | Teams preferring Grafana, Prometheus, Loki, Tempo and open telemetry patterns. | Azure estates wanting telemetry tied to Azure resources and operations. |
| Main trade-off | Cardinality, retention and collection architecture still need design. | Workspace architecture, retention and ingestion choices affect cost and access. |
| Pricing basis | Telemetry usage and service tier | Ingestion, retention, queries and enabled features |
| Portability lens | Most value comes from its own platform integration; price migration explicitly. | Most value comes from its own platform integration; price migration explicitly. |
03 / Selection test
Run a proof of operation, not a polished demo.
The test should include deployment, identity, telemetry, failure recovery and one real policy requirement. A happy-path deployment cannot expose day-two cost.
- 01Telemetry model
Test this with one representative workload and record the operational owner, failure path and exit cost.
- 02Managed operations
Test this with one representative workload and record the operational owner, failure path and exit cost.
- 03Cloud integration
Test this with one representative workload and record the operational owner, failure path and exit cost.
- 04Query experience
Test this with one representative workload and record the operational owner, failure path and exit cost.
- 05Cost controls
Test this with one representative workload and record the operational owner, failure path and exit cost.
Azure estates wanting telemetry tied to Azure resources and operations.
Workspace architecture, retention and ingestion choices affect cost and access.
The responsibility boundary is explicit.
Name which system owns identity, deployment, policy, telemetry and recovery. If both appear to own the same decision, simplify.
04 / Due diligence
Verify before signing or migrating.
- Current regional availability, limits and deprecation policy.
- Total cost at expected usage, including data, support and operations.
- Identity, audit-log and private-network requirements.
- Backup, export and exit path for configuration and data.
- Skills required for upgrades, incidents and policy exceptions.
Related comparisons
Check the nearest alternative.
Need the decision tested in your environment?
Gritt can run the proof of concept, map the security boundary and cost the operating model.
Compare with your workload →