Kubernetes

Container Orchestration with Kubernetes

Kubernetes (K8s) is an open-source container orchestration platform initiated by Google and managed by the Cloud Native Computing Foundation. It lets you define, deploy and manage tens, hundreds or even thousands of containers through a central control plane.

At Detartech we use Kubernetes for enterprise projects requiring high availability and zero downtime. Automatic response to traffic spikes with Horizontal Pod Autoscaler, cost optimisation with node pools. We version service configurations with Helm charts and build declarative deployment pipelines with GitOps tools like ArgoCD.

Where does Detartech use Kubernetes?

We do not treat Kubernetes as a default part of every project. As we explain on our DevOps and CI/CD service page, orchestration is a decision made separately from containerisation. On the container side the default is Docker; Kubernetes comes in when there is a reason for it: several services, a need for independent scaling or a corporate cloud policy. Where hosting lives is the client's decision, not ours. The criterion is not technical fashion but whether the project has the operational capacity to carry this layer.

When is Kubernetes the right choice?

When several services scale independently of each other, deployments must happen without downtime and a crashed service should restart automatically, the operational load Kubernetes brings pays for itself. Systems made of microservices with fluctuating traffic fit this description.

When is Kubernetes not needed?

For a single-service application with predictable traffic, Kubernetes brings more operational load than benefit: cluster management, version upgrades and monitoring each become a separate work item. In such a project a versioned image, a properly built delivery pipeline and one-step rollback are usually enough. If the bottleneck comes from load, adding orchestration does not solve it either; first the queries, cache and queue are examined on the backend scaling side, because slowness usually comes from a single query or a synchronous step rather than machine capacity.