Reliability on AWS: build for failure, not perfect days
AI24 March 20263 min readPG Technologies

Reliability on AWS: build for failure, not perfect days

AWS outages aren’t something you outsource. Here’s how to design for containment, recovery, and confident change on AWS.

Reliability on AWS: build for failure, not perfect days

Reliability on AWS: build for failure, not perfect days

If you run on AWS, outages aren’t a “cloud problem” you outsource — they’re an engineering reality you design around.

AWS is explicit about this in the Well‑Architected Framework: reliability comes from **strong foundations, resilient architecture, consistent change management, and proven failure recovery processes**.

What to look at when something goes wrong

A useful habit: treat AWS status updates and Post‑Event Summaries as **design inputs**.

When AWS publishes a Post‑Event Summary (PES), it typically describes:

- scope of impact - contributing factors - actions taken to reduce recurrence

That’s essentially a free reliability lesson — not to copy-paste, but to translate into patterns for your workloads.

The patterns that actually move the needle

1) Design for blast-radius containment

Instead of “make it never fail”, aim for “when it fails, it fails small”.

Common tactics:

- isolate workloads by account / VPC / environment - separate data planes from control planes - ensure one noisy tenant can’t take down everyone

2) Multi‑AZ is table stakes; test your recovery anyway

High availability isn’t a checkbox — it’s a behaviour you validate.

- run game days - practice failover - verify alarms and runbooks - confirm data consistency expectations (RPO/RTO)

3) Change management is a reliability feature

Many reliability incidents begin as change incidents.

Good change management on AWS looks like:

- progressive delivery (canaries, blue/green) - feature flags for risky behaviour - automated rollback - clear ownership and on-call readiness

4) Observability should answer business questions

Don’t just measure CPU and latency. Measure:

- failed customer journeys - queue depth and backlogs - error budgets and SLOs - cost anomalies that correlate with incidents

How PG Technologies helps

We help teams build and operate reliable AWS systems:

- AWS Well‑Architected reviews (reliability/cost/security) - cloud architecture and platform engineering - performance optimisation and observability - incident readiness (runbooks, drills, rollback paths)

Sources

- AWS Well‑Architected Framework (overview): https://aws.amazon.com/architecture/well-architected/ - AWS Well‑Architected Reliability Pillar: https://docs.aws.amazon.com/wellarchitected/latest/reliability-pillar/welcome.html - AWS Post‑Event Summaries (PES): https://aws.amazon.com/premiumsupport/technology/pes/

Tags

AWSReliability