Observability to Action: Using AWS Native Tools to Troubleshoot Mission‑Critical SQL

Mission‑critical SQL workloads cannot afford guesswork, especially under strict performance, resilience, and regulatory requirements. This session shows how to move from “the database is slow in AWS” to precise, repeatable troubleshooting using AWS native observability and diagnostic tooling for SQL on AWS.

The session walks through real‑world scenarios such as sudden latency spikes, blocking and deadlocks, storage hotspots, and regional failover events impacting high risk systems. Attendees will see how to combine metrics, logs, and traces from services like CloudWatch, performance insights, and related AWS services with database‑level signals to quickly isolate root causes and validate fixes.

Expect practical guidance, including runbook patterns, escalation checklists, and dashboards that help teams standardise their response to incidents. The focus is on actionable patterns you can apply the next day: what to collect, how to interpret it, and how to turn observability into concrete remediation steps that keep SQL workloads on AWS fast, reliable, and compliant in high‑stakes environments.

How to use AWS native observability tools (for example, metrics, logs, and performance insights) to quickly pinpoint issues in mission‑critical SQL workloads on AWS. Practical troubleshooting patterns for common production problems such as latency spikes, blocking, deadlocks, and storage bottlenecks. How to turn ad‑hoc investigations into repeatable runbooks, dashboards, and incident workflows that improve stability, speed of recovery.