Comments (2)
If you set up the Prometheus
exporter as well, the SLI metrics will be sent to Prometheus. From there you can configure alerts in AlertManager based on Prometheus metrics.
The default metrics exported by the exporter are defined here.
Let me know if that's clear enough or if you need more explanations !
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Thanks, I was able to figure it out.
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Related Issues (20)
- Add templates for bug reports and feature requests
- Grafana Dashboard for SLO HOT 3
- 🐛 [BUG] - Linting fails on `master` while code is unchanged
- 💡 [REQUEST] - Add Cloud Run example(s) to Cloud Monitoring backends HOT 1
- 💡 [REQUEST] - Document how to use Visual Studio Code launch configurations for debugging
- 💡 [REQUEST] - Add sample output(s) to `README.md`
- 🐛 [BUG] - Unit tests for cloud Monitoring backend fail on master outside UTC systems HOT 8
- 🐛 [BUG] - Elasticsearch query being overwritten HOT 4
- 🐛 [BUG] - Loading SLOs from directory only loads `.yaml` files HOT 3
- 💡 [REQUEST] - Add BigQuery backend
- 💡 [REQUEST] - Add end-to-end quickstart to `README.md` for new users
- 🐛 [BUG] - incorrect calculation for prometheus provider HOT 7
- 🐛 [BUG] - `make lint` fails with the latest version of `pytype` HOT 1
- 🐛 [BUG] - Cloud Monitoring MQL uses local timezone rather than UTC HOT 6
- 🐛 [BUG] - Datadog exporter - Custom metrics quota HOT 2
- 🐛 [BUG] - Linting tests fail with Pylint 2.16+
- 💡 [REQUEST] - Fix warnings in `cloudrun` job in release workflow HOT 1
- 🐛 [BUG] - CI fails with python 3.11 and `black` 23.1.0
- 🐛 [BUG] - use built-in metric to create Latency SLO On Dynatrace HOT 14
- 🐛 [BUG] - Datadog backend - bad_event_counts spikes HOT 4
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