Kubernetes Cluster High Availability Setup | Production-Ready HA in Germany & Berlin
Highly available, fault-tolerant Kubernetes clusters for production workloads in Germany and Berlin
When Kubernetes is running a few internal apps, a simple single-node or single-zone setup can be enough.
Once it powers core products, customer-facing platforms, or internal systems that must not go down, you need real high availability – not just "a few replicas". We design and implement production-grade, highly available Kubernetes clusters for companies in Germany, the EU, and worldwide:
We work with engineering teams across Germany — including Berlin, Frankfurt, Munich, Hamburg and other regions — helping them build reliable, scalable and secure systems.
When You Need a High-Availability Kubernetes Cluster
- core revenue systems run on Kubernetes (SaaS, fintech, e-commerce, industrial platforms)
- strict SLAs (99.9% or higher) with contractual penalties are in place
- downtime directly blocks production lines, financial flows, or critical operations
- you are preparing for audits, certifications, or enterprise partnerships
- single node or single-zone clusters already caused incidents or near-misses
Automation eliminates these risks completely.
We help you move from "it works most of the time" to predictable, documented, and testable reliability.
What We Deliver
HA Cluster Architecture & Design
We start with a clear, documented architecture tailored to your stack and hosting strategy:
- Single cloud, multi-AZ (e.g. Frankfurt-region zones on AWS/GCP/Azure/Hetzner)
- Hybrid setups (on-prem + cloud) with VPN/Direct Connect
- Control plane redundancy and node pool design
- Network design: ingress controllers, load balancers, internal vs external traffic
- Data layer strategy: stateful workloads, storage classes, backup/restore patterns
Control Plane & Worker Node High Availability
We harden the core of your Kubernetes platform:
- multiple control plane nodes (where the platform allows it)
- separation of system and application node pools
- autoscaling policies aligned with your workloads and budget
- PodDisruptionBudgets and anti-affinity rules to avoid "all replicas on one node"
- graceful node draining and update strategies
Multi-Zone, Self-Healing Workloads
Kubernetes can reschedule pods automatically – but only if the cluster and manifests are designed correctly. We configure:
- multi-AZ node pools and topology-aware scheduling
- health checks (readiness/liveness probes) that reflect actual application behaviour
- horizontal and/or vertical pod autoscaling where it makes sense
- deployment strategies: rolling updates, canary/blue-green where needed
Storage, Backups & Disaster Recovery
High availability without a backup strategy is an illusion. We implement:
- storage classes for stateful workloads with replication where supported
- consistent backup strategies (Velero or similar tools)
- backup & restore procedures for etcd, databases, and critical services
- disaster recovery runbooks: what to do if a region goes down or a cluster is lost
Observability, Alerts & SLOs
A Kubernetes cluster is only as reliable as your ability to see what is happening. We set up:
- metrics (Prometheus or compatible stack)
- dashboards (Grafana) for cluster health, workloads, and business KPIs
- logging stack (Loki / ELK / cloud-native logging)
- alerting integrated with your channels (Slack, Teams, email, on-call tools)
- basic SLOs (e.g. availability of key services, error budgets, latency thresholds)
Security & Compliance for German/EU Requirements
For many clients in Germany and the EU, reliability must go hand in hand with compliance. We ensure:
- cluster setup aligned with GDPR requirements
- preference for Frankfurt-region or EU data centers (AWS/GCP/Azure/Hetzner)
- RBAC and least-privilege access for teams and services
- secrets management via external vaults or cloud-native solutions
- audit logs and documented changes for infrastructure and workloads
So your Kubernetes HA setup can be shown to partners, auditors, and enterprise customers with confidence.
How a Typical Engagement Looks
- 1Assessment & Architecture (1–2 weeks) — review of your current infrastructure, clusters, and workloads; identification of failure modes, SPOFs, and existing incidents; design of target HA architecture with clear diagrams and decisions. Deliverable: architecture document & implementation plan.
- 2Implementation & Hardening — provisioning of HA clusters (managed or self-managed); configuration of node pools, autoscaling, and networking; rollout of observability stack and initial alerts; migration or deployment of your workloads into the new setup. Deliverable: production-ready HA Kubernetes cluster.
- 3Handover, Training & Operations Support — documentation tailored to your team; runbooks for incidents, updates, and scaling events; optional training sessions for engineering/DevOps teams; optional ongoing support for operations and future improvements. Deliverable: team that can operate and evolve the platform.
A Kubernetes platform where nodes can fail, zones can go offline, and your workloads stay available.
For German companies, this turns delivery and operations into a predictable, automated and auditable process instead of a manual, error-prone one.
Expected Results
This is why growth-focused teams in Germany choose our Kubernetes HA solutions to support their product roadmap.
Platforms & Tools We Work With
Managed Kubernetes
EKS, GKE, AKS, Hetzner Cloud, DigitalOcean, others
On-prem / Hybrid
kubeadm-based clusters, Rancher, K3s/K3d (for edge), OpenShift (on request)
Observability Stack
Prometheus, Grafana, Alertmanager, Loki/ELK, Sentry
Who This Service Is For
We typically work with:
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