Every system fails eventually, whether it's a crashed server, a bad deployment, or an entire data center going offline. A good cloud architect doesn't try to prevent every failure. They design so that failures cause as little harm as possible. Resilience is that ability to keep working, or recover quickly, when something goes wrong.
You'll start by separating three ideas that are often mixed up: high availability, fault tolerance, and disaster recovery. Then you'll learn the two numbers that drive recovery planning, RTO (how long you can be down) and RPO (how much data you can afford to lose), and how they lead to strategies such as backup and restore, pilot light, warm standby, and multi-site active/active.
The module closes with chaos engineering, the practice of breaking things on purpose to prove your design really holds up. Next up is observability and FinOps, where you'll learn to monitor what you've built and keep its cost under control.
How the three concepts differ and how they fit together when designing systems that stay available.
Recovery objectives explained, plus failover versus fallback and the main disaster recovery approaches and their trade-offs.
An overview of RPO and RTO and the four AWS strategies: backup and restore, pilot light, warm standby, and multi-site.
What chaos engineering is, why Netflix deliberately breaks its own systems, and how it helps prove a design is resilient.