Observability Stack Audit

We review how telemetry moves through your platform, what your dashboards actually show, which alerts help, and where cost or noise is hiding.

The result is a practical remediation plan: what to fix first, what to remove, what to measure, and which SLOs should drive the work.

When this is NOT a fit

• You do not have enough production traffic or service ownership yet to make SLOs and alert tuning meaningful.
• The main problem is application code correctness, not telemetry quality, pipeline cost, or operational signal.
• Your team is not ready to change dashboards, retention rules, labels, or alert ownership after the audit.
• The stack is being replaced immediately, so findings would not survive long enough to create value.

Common failure modes we’ve seen

• Label cardinality grows quietly until Prometheus, Loki, or Elasticsearch spend more time indexing metadata than serving useful queries.
• Dashboards look complete but depend on best-effort logs, missing scrape targets, or metrics that silently disappeared during a deploy.
• Alerts page on symptoms without service context, so responders spend the first 20 minutes proving which system is actually broken.
• Retention is set globally instead of by value, keeping low-use debug streams for months while critical incident data is hard to search.