Kubernetes when you need it, simpler options when you do not
Kubernetes schedules, scales and heals containerised applications across a cluster of machines. It is the right tool for platforms with many services, variable traffic and teams that need consistent deployment patterns.
Kubernetes provides self-healing, rolling deployments, autoscaling and a common way to run workloads on any major cloud. It is also complex: clusters need upgrades, networking, security policies and monitoring, and that operational cost is real. For a single application or a small team, a managed container service such as Cloud Run, App Platform or ECS is often a better choice. We recommend Kubernetes when its benefits clearly outweigh the overhead, and use managed clusters to reduce the burden.
What we build with Kubernetes
- Managed cluster setup
- Helm charts and deployment manifests
- Autoscaling and resource limits
- Monitoring, logging and alerting
- Security policies and secrets handling
Kubernetes questions
Do we really need Kubernetes?
Many businesses do not. If you run a handful of services, a managed container platform is simpler and cheaper to operate. We will tell you honestly which fits.
Managed or self-hosted Kubernetes?
Managed in almost every case. Letting the cloud provider run the control plane removes a large part of the operational risk.
How do you keep Kubernetes costs down?
By setting realistic resource requests, autoscaling nodes and workloads, using spot capacity for tolerant jobs and removing idle environments. Over-provisioned clusters are a common source of waste.
How do you secure a Kubernetes cluster?
With role-based access control, network policies between services, secrets held in a proper secrets store, restricted pod permissions and regular upgrades of the cluster and its add-ons.
Can you migrate our applications onto Kubernetes?
Yes. We containerise each service, write deployment manifests or Helm charts, move traffic gradually and keep the old environment ready until the new one has proven stable.
How do you monitor workloads on Kubernetes?
We collect metrics, logs and traces with tools such as Prometheus, Grafana and the cloud provider's monitoring, and alert on symptoms users would notice rather than on noise.
How do you deploy updates without downtime?
Rolling updates with health checks replace containers gradually, and readiness probes stop traffic reaching new versions until they are ready. Canary or blue-green releases add further safety.
How often does a Kubernetes cluster need upgrading?
Kubernetes releases regularly and older versions lose support, so clusters need planned upgrades several times over their life. We test upgrades in a non-production cluster first.
Does Kubernetes let us move between cloud providers?
It makes moving easier because workloads are described in a standard way, but storage, networking and managed databases still differ between clouds and need planning.
What happens if a node in the cluster fails?
Kubernetes reschedules the affected containers onto healthy nodes automatically. We run several replicas spread across availability zones so a single failure does not interrupt service.
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