Observability as Code: SREs Shift to PromQL for Reliability
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Observability as Code: Why SREs Are Writing PromQL and Not Just Dashboards
In 2026, SREs aren’t just looking at graphs – they’re encoding reliability logic directly into queries, alerts, and pipelines. This shift is called Observability as Code (OaC).
Traditional dashboards are proving insufficient for modern, ephemeral infrastructure, lacking version control, correctness enforcement, and the ability to visualize intent rather than just symptoms. This inadequacy can lead to failures during incidents when precision is critical.
Why This Matters
Static dashboards become quickly outdated in dynamic environments, failing to reflect the current state of a complex system. The cost of relying on manual dashboard curation and reactive alerting can lead to increased incident response times and ultimately, service outages.
Key Insights
- Dashboard limitations: Manual curation leads to drift and inconsistency.
- PromQL as intent: PromQL expresses what to monitor, not how to visualize it.
- KubeHA: Correlates PromQL, LogQL, and TraceQL outputs with Kubernetes events.
Working Example
(No code example provided in context)
Practical Applications
- Use Case: Encoding SLOs with PromQL to automate incident classification and response.
- Pitfall: Treating dashboards as the primary source of truth, leading to delayed detection of service degradation.
References:
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