Kubernetes Management
Managed K8s on EKS, bare-metal, or Hetzner K3s. Setup, upgrades, monitoring and incident response, ongoing.
Best fit
Who Kubernetes Management is for
Managed K8s on EKS, bare-metal, or Hetzner K3s. Setup, upgrades, monitoring and incident response, ongoing.
Teams running production on Kubernetes without a specialist
A cluster runs quietly until a certificate expires, a node fills its disk or a rollout hangs with no useful error. Debugging that is a different skill from the one that deployed it.
Companies moving off Docker Compose onto Kubernetes
Compose stopped being enough the moment a second server, a staging environment or a rolling deploy entered the picture. Helm charts, health probes and resource limits need setting properly the first time.
Teams behind on cluster and node version upgrades
A Kubernetes version leaves support faster than most release cycles, and skipped upgrades compound until the jump is genuinely risky. Rolling through them one at a time is routine work that has to be scheduled.
Startups that need Kubernetes depth without a hire
You need someone who has debugged a stuck rollout at midnight, not a platform engineer on the payroll every week. The cluster gets an experienced operator on the days it needs one.
Recognise one of these? Describe it and we will tell you what it involves.
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What Kubernetes Management Includes
How it goes
How we run this engagement
The same four steps on every engagement, whether it is a one-off project or an ongoing retainer.
Step 1
You describe the work
A written request, answered by a senior engineer within one working day
Step 2
Audit & Plan
Full review of current stack, written action plan (AI-powered stack analysis + risk mapping)
Step 3
Execute
Implementation, migration or ongoing management begins
Step 4
Monitor & Support
Continuous oversight, alerts, regular reports (AI-correlated alerts, zero noise)
Overview
About Kubernetes Management
Full lifecycle Kubernetes management - from initial cluster setup to day-two operations. We handle upgrades, scaling, monitoring, and incident response so your team can focus on shipping features.
AI-Augmented Service
AI-assisted incident diagnosis and runbook generation
Kubernetes Management - Common Questions
We work with Amazon EKS, K3s on Hetzner Cloud, and bare-metal Kubernetes clusters. We choose the distribution that best fits your workload, budget, and operational requirements.
Yes. We start with a cluster health audit to understand your current setup, identify risks, and document the state of workloads and configurations. From there we transition into ongoing management with minimal disruption.
We use rolling upgrade strategies with pod disruption budgets and pre-upgrade testing in staging environments. Every upgrade is planned, communicated, and executed during your preferred maintenance window.
We monitor clusters continuously with Prometheus and Grafana. When an incident triggers, we diagnose the root cause, resolve it, and provide a post-incident report with recommendations to prevent recurrence.
Yes, GitOps with ArgoCD is our preferred deployment model. We set up the full workflow - Git repository structure, application manifests, sync policies, and automated rollback - so deployments are declarative and auditable.
We start from real usage rather than the requests someone guessed at during the first deploy. Requests and limits are set from observed CPU and memory, HPA targets are tuned so pods scale before latency moves, and node pools are matched to the shape of the workload. Most clusters we take over are paying for headroom they never touch, and that is usually the first saving.
Us, on Kubernetes Management
Written for the problem rather than for the sale. Read one before you decide whether we know your stack.
What Your Startup Runs, and What You Are Paying For
Two lists settle the cloud question for an early team: what the product runs, and what the platform is priced around. DigitalOcean and AWS on Kubernetes.
Read itServer & DevOps · 6 minHow to Drain a Node Without Dropping a Single Request
kubectl drain politely evicts your pods and your users still see errors, because a pod that is terminating is not automatically a pod that has stopped receiving traffic. The gap between those two states is where the dropped requests live. This is how to close it with a pre-stop delay, a grace period long enough for real requests, and a disruption budget that stops the node from taking your last replica with it.
Read itMagento · 6 minHow to Run Magento 2 on Kubernetes Without Overpaying
Most Magento clusters cost more than they need to because every tier gets replicated as if every tier were the bottleneck, when only PHP-FPM ever is. This is the shape that keeps the bill honest, with sessions and cache moved to Valkey or Redis, media moved to object storage instead of a shared filesystem, and cron running on exactly one scheduler because Adobe documents that it can only run on one node. It also covers the case for not doing this at all, since a single well-sized server with a warm standby reaches the same uptime for a single steady store.
Read it