Solutions
Disaster Recovery
Build recovery systems defined by concrete RTOs and RPOs, then validate them with regular DR drills — not documentation that goes untested until an actual outage. We design automated recovery procedures and run scheduled exercises so your team has practiced the path before they need to use it.
The Business Problem
No validated recovery plan — organizations discover their backup strategy doesn't work during an actual outage
The Challenge
Most organizations have some form of backup. Far fewer have tested whether those backups actually restore correctly, at the speed required to meet their recovery objectives. A disaster recovery plan that lives only in a document — never validated against production-equivalent environments — is not a plan. It’s a hope.
The consequences of discovering this during an actual outage are severe: extended downtime, data loss, regulatory exposure, and loss of customer trust. In Kubernetes environments, the complexity increases: cluster state, persistent volumes, configuration, secrets, and running workloads all need coordinated recovery, not just database dumps.
Our Approach
We treat DR as an engineering problem, not a compliance checkbox. That means defining concrete Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) tied to business impact — then designing and validating systems that actually meet them.
Our process starts with a current-state assessment: what are your critical systems, what do you currently back up, and have you ever tested recovery? From there we design a recovery architecture appropriate to your environment and risk tolerance, and — critically — we run DR drills. Regular, scheduled exercises that test the actual recovery path under realistic conditions.
We focus on making recovery procedures as automated as possible. A recovery runbook that requires ten manual steps executed correctly under stress is fragile. Code-driven recovery with clear checkpoints is not.
Technology Options
- Velero — Kubernetes-native backup and restore for cluster resources and persistent volumes; supports S3-compatible storage backends
- Argo CD / GitOps — declarative cluster and application recovery from version-controlled state, enabling rapid redeploy to repaired or newly provisioned clusters
- Rook-Ceph / Longhorn snapshots — storage-layer snapshots for stateful workloads running on-cluster storage
- etcd backup — cluster control plane backup with point-in-time restore capability
- Cloud-provider snapshots — EBS, GCP Persistent Disk, and Azure Disk snapshots for managed Kubernetes node storage
- Database-specific tools — pg_dump/pg_basebackup for PostgreSQL, mysqldump / XtraBackup for MySQL, native tools for managed databases (RDS, Cloud SQL)
- Multi-region failover — active-passive or active-active cluster configurations using global load balancing (Route 53, GCP Cloud DNS, Cloudflare)
- Chaos engineering — Chaos Mesh or LitmusChaos for proactively testing failure scenarios before they happen in production