Resilience

Introduction Disaster Recovery (DR) is the process, policies, and procedures for recovering and continuing technology infrastructure after a disaster. A disaster can be natural (earthquake, flood), technical (data center failure, ransomware), or human-caused (accidental deletion, security breach). Core Principle: “Hope is not a strategy. Plan for failure before it happens.” Key Concepts RTO vs RPO Time ─────────────────────────────────────────────────────────────> │ │ │ │ Disaster Detection Recovery Normal Occurs Time Begins Operations │◄──────────────────────────────────►│ │ Recovery Time │ │ Objective (RTO) │ │ │ │◄───────────►│ │ Data Loss │ (Recovery Point │ Objective - RPO) │ Recovery Time Objective (RTO) Definition: Maximum acceptable time that a system can be down after a disaster. …

Introduction Chaos Engineering is the discipline of experimenting on a system to build confidence in the system’s capability to withstand turbulent conditions in production. Rather than waiting for failures to happen, chaos engineering proactively injects failures to identify weaknesses before they impact users. Why does this matter? In modern distributed systems (microservices, cloud infrastructure, containers), failures are inevitable. A network can partition, a server can crash, a database can slow down. Traditional testing can’t predict all the ways these components interact when things go wrong. Chaos engineering fills this gap by deliberately causing failures in a controlled way. …