When AWS Goes Down, You Need a Plan
AWS powers roughly a third of the cloud infrastructure market. When it has an outage — and it does, every year — the ripple effects hit thousands of businesses simultaneously. The difference between a minor inconvenience and a full-blown crisis comes down to preparation.
Here's your practical playbook for the next AWS outage.
Step 1: Confirm It's Actually AWS
Before you blame AWS, verify the issue:
Important: The AWS status page has historically been slow to acknowledge issues. Social media (Twitter/X, Reddit) often surfaces reports 15-30 minutes before the official status page updates.
Step 2: Identify What's Affected
AWS has over 200 services. An outage rarely affects all of them. Quickly determine:
- Which AWS services are impacted? (EC2, S3, RDS, Lambda, CloudFront, etc.)
- Which region? (us-east-1 is the most common source of major incidents)
- Which of YOUR services depend on the affected AWS services?
This is where dependency mapping pays off. If you haven't documented your AWS dependencies, start now — you'll thank yourself during the next incident.
Step 3: Communicate Proactively
Don't wait for customers to complain. Get ahead of it:
- Internal: Alert your engineering, support, and leadership teams via your backup communication channel
- External: Update your own status page within 15 minutes
- Support team: Prepare templated responses for incoming tickets
Sample Status Page Update
"We're aware of an issue affecting [specific functionality]. This is related to an ongoing AWS incident in [region]. We're actively monitoring the situation and will provide updates every 30 minutes. Our team is evaluating mitigation options."
Step 4: Mitigate Where Possible
Depending on your architecture, you may have options:
- Multi-region: Fail over to an unaffected region
- Multi-cloud: Route traffic to your Azure/GCP backup
- CDN: If CloudFront is down, switch DNS to Cloudflare or Fastly
- Static fallback: Serve a static version of critical pages
- Queue and retry: For non-real-time operations, queue requests for processing after recovery
Step 5: Monitor for Recovery
AWS outages can resolve in stages:
Step 6: Post-Incident Review
After the dust settles:
Building Long-Term Resilience
- Automate monitoring: Use ServiceAlert.ai to track all your cloud dependencies, not just AWS
- Design for failure: Assume any AWS service can go down at any time
- Test regularly: Run chaos engineering exercises or game days
- Multi-region at minimum: Never run production in a single AZ or region
- Cache aggressively: CDN and application-level caching can keep you running during upstream issues
The Reality Check
AWS has excellent overall uptime — typically 99.99%+ for most services. But with millions of customers, even brief outages make headlines. The question isn't whether AWS will have another outage, but whether you'll be ready when it happens.
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