Observability on AWS: dashboards don’t prevent incidents
Cloud24 March 20263 min readPG Technologies

Observability on AWS: dashboards don’t prevent incidents

A practical approach to SLOs, tracing, and customer-journey monitoring so you can detect and recover faster.

Observability on AWS: dashboards don’t prevent incidents

Observability on AWS: dashboards don’t prevent incidents

Most teams have dashboards. The difference is whether those dashboards answer:

- “Are customers failing right now?” - “What changed?” - “How do we recover?”

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1) Measure customer journeys

Add synthetic checks for:

- login - checkout / lead form - key API endpoints

2) Adopt SLOs and error budgets

Pick one reliability target per service and track it.

This helps decide when to:

- pause feature work - pay down performance debt - run reliability improvements

3) Instrument traces for the slow paths

Latency problems hide in:

- third‑party calls - cold starts - database contention

Tracing turns “it’s slow sometimes” into a concrete fix list.

4) Make logs usable

Usable logs are:

- structured - correlated by request id - searchable with clear retention

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How PG Technologies helps

We help teams get production clarity on AWS:

- metrics/tracing/logging strategy - incident response playbooks - performance optimisation - platform engineering and tooling

Sources

- AWS CloudWatch (overview): https://aws.amazon.com/cloudwatch/

Tags

AWS