Monitoring & Observability
Metrics, logs and traces unified into actionable dashboards and alerts, with SLOs and on-call runbooks for every critical service.
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faster detection
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faster resolution
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service coverage
Customers tell us about outages before our tools do.
Finding the cause of an error takes hours of log digging.
We have dashboards but nobody looks at them.
There's a better way. Here's how we fix it.
Root cause missing index on stock_move(product_id, date). Fix: −840 ms
Illustrative example with sample data.
- 01OpenTelemetry instrumentation
- 02Log aggregation & search
- 03SLOs, SLIs & error budgets
- 04Synthetic & real-user monitoring
- 05On-call alerting
- 06Capacity planning
Technology
- ElasticAI & Data
- LinuxCloud & DevOps
- KubernetesCloud & DevOps
- 1
Instrument
Week 1–2
Metrics, logs and traces added with OpenTelemetry.
You receiveObservability stack - 2
Define SLOs
Week 2
What 'working' means for each critical service.
You receiveDashboards - 3
Alerts that matter
Week 3
Alerts on user impact, not every CPU blip.
You receiveAlert policies - 4
Runbooks
Week 4
What to do when each alert fires.
You receiveRunbooks
Q1
Which tools do you use?
Open-source stacks like Grafana and Prometheus, or commercial tools like Datadog and Azure Monitor.
Q2
Will it slow our applications down?
No. Instrumentation adds negligible overhead and sampling keeps costs in check.
Q3
Can we see Odoo performance too?
Yes. Slow requests, queries and workers in Odoo can be traced like any other app.
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