Kubernetes Cluster Disaster Recovery: etcd Backup, Velero, and GitOps Recovery

Kubernetes Cluster Disaster Recovery#

Your cluster will fail. The question is whether you can rebuild it in hours or weeks. Kubernetes DR is not a single tool – it is a layered strategy combining etcd snapshots, resource-level backups, GitOps state, and tested recovery procedures.

The three layers of Kubernetes DR: etcd gives you raw cluster state, Velero gives you portable resource and volume backups, and GitOps gives you declarative rebuild capability. You need at least two of these.

Stateful Workload Disaster Recovery: Storage Replication, Database Operators, and Restore Ordering

Stateful Workload Disaster Recovery#

Stateless workloads are easy to recover – redeploy from Git and they are running. Stateful workloads carry data that cannot be regenerated. Databases, message queues, object stores, and anything with a PersistentVolume needs a deliberate DR strategy that goes beyond “we have Velero.”

The fundamental challenge: you must capture data at a point in time where the application state is consistent, replicate that data to a recovery site, and restore it in the correct order. Get any of these wrong and you recover corrupted data or a broken dependency chain.

Helm Gotchas: --reuse-values, Revisions, Rollback, and Disaster Recovery

A Helm operator runs an upgrade with --reuse-values -f new-values.yaml. Helm reports success, increments the revision counter, and returns STATUS: deployed. The cluster behavior does not change. The new values file might as well not exist. This is a silent no-op upgrade — the load-bearing failure mode of --reuse-values — and it is one of several Day-2 Helm operations where the verbs look correct but the semantics are not what most operators assume. This article covers the flag combinations that bite, how to inspect any past revision, how rollback actually works, and the snapshot-before-upgrade discipline that turns Helm’s revision storage into a real disaster-recovery backstop.

Running Kubernetes on Apple Silicon: Setup, Gotchas, Recovery

A minikube cluster on Apple Silicon looks like a pure Kubernetes problem until the first Docker Desktop crash. The failure modes that bite hardest on M-series Macs live one layer below the cluster: in Docker Desktop’s memory allocator, in QEMU’s address-space layout, and in the destructive default of minikube delete. None of these are mentioned in the standard minikube setup guide, and all three will eat real workload state when they fire. This is the operational layer on top of minikube setup and drivers and ARM64 K8s images — the host-side discipline that keeps the cluster alive.

Single-Node Kubernetes Disaster Recovery: Backups That Survive a Wiped Docker VM

A single-node minikube cluster on Docker Desktop runs the entire control plane, kubelet, every PVC, every Secret, and the container image cache inside one VM whose disk is one file: ~/Library/Containers/com.docker.docker/Data/vms/0/data/Docker.raw on macOS. When that file is lost or corrupted, every piece of cluster state goes with it in a single event. There is no “node failure vs storage failure” distinction to design around. Every backup strategy that assumes those are separable does not apply.

etcd Maintenance for Self-Managed Clusters

etcd Maintenance for Self-Managed Clusters#

etcd is the backing store for all Kubernetes cluster state. Every object – pods, services, secrets, configmaps – lives in etcd. If etcd is unhealthy, your cluster is unhealthy. If etcd data is lost, your cluster is gone. Managed Kubernetes services (EKS, GKE, AKS) handle etcd for you, but self-managed clusters require you to operate it directly.

All etcdctl commands below require TLS flags. Set these as environment variables to avoid repeating them:

From Empty Cluster to Production-Ready: The Complete Setup Sequence

From Empty Cluster to Production-Ready#

This is the definitive operational plan for taking a fresh Kubernetes cluster and making it production-ready. Each phase builds on the previous one, with verification steps between phases and rollback notes where applicable. An agent should be able to follow this sequence end-to-end.

Estimated timeline: 5 days for a single operator. Phases 1-2 are blocking prerequisites. Phases 3-6 can partially overlap.


Phase 1 – Foundation (Day 1)#

Everything else depends on a healthy cluster with proper namespacing and storage. Do not proceed until every verification step passes.

Infrastructure Disaster Recovery with Terraform: State Recovery, Blue-Green Infrastructure, and Rebuild Procedures

Infrastructure Disaster Recovery with Terraform#

Application disaster recovery is well-understood: replicate data, failover traffic, restore from backups. Infrastructure disaster recovery is different — you are recovering the platform that applications run on. If your Terraform state is lost, your VPC is deleted, or an entire region goes down, how do you rebuild?

This article covers the DR patterns specific to Terraform-managed infrastructure: protecting state, recovering from state loss, designing infrastructure for regional failover, and the runbooks that agents and operators need when things go wrong.

Multi-Cloud vs Single-Cloud Strategy Decisions

Multi-Cloud vs Single-Cloud Strategy#

Multi-cloud is one of the most oversold strategies in infrastructure. Vendors, consultants, and conference speakers promote it as the default approach, but the reality is that most organizations are better served by a single cloud provider used well. This framework helps you determine whether multi-cloud is actually worth the cost for your situation.

The Default Answer Is Single-Cloud#

Start with single-cloud unless you have a specific, concrete reason to go multi-cloud. Here is why.

MySQL Backup and Recovery

MySQL Backup and Recovery#

A backup that has never been restored is not a backup. This guide covers the tools, when to use each, and how to verify your backups work.

Logical vs Physical Backups#

Logical backups export SQL statements. Portable across versions but slow for large databases. Physical backups copy raw InnoDB data files. Fast but tied to the same MySQL version. Physical backups are essential once your database exceeds a few hundred gigabytes.