Disaster Recovery

Disaster recovery (DR) is the discipline of preparing for, responding to, and recovering from disruptive incidents that threaten IT systems and business operations. In modern DevOps and cloud-native environments, DR is not just about backups—it’s about designing resilient architectures, automating failover, and validating recovery procedures to minimize downtime and data loss.

Effective disaster recovery planning addresses both technical and organizational risks. It defines Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO), implements automated backup and restore workflows, and ensures that failover processes are tested and documented. DR is essential for regulated industries, mission-critical workloads, and any team operating in the cloud or with distributed systems.

AKS Disaster Recovery: Why Your Untested Backup Will Fail

Your cluster will fail. The question is not if, but when, and whether you can recover before customers notice. Most organizations discover their backup strategy does not work during an actual outage, when recovery time matters most and manual heroics cannot save you.

If you run Azure Kubernetes Service (AKS) in production, you need a recovery plan that engineers can execute half asleep at 2 AM. We will go through what to back up, how Velero works in day-to-day operations, when Azure Backup for AKS is enough, and how to design realistic failover with measurable Recovery Time Objective (RTO) and Recovery Point Objective (RPO).

The goal is simple: repeatable recovery procedures you have already tested, not a document that looks good in Confluence but fails during an incident.

Storage Architecture & Stateful Workloads in AKS

Stateful workloads in Kubernetes require understanding PersistentVolume architecture, Azure storage trade-offs, and backup strategies. This article covers PVC/PV patterns, Azure Disk vs Files performance profiles, Velero backup configurations, and multi-cluster replication patterns based on production experience.