Assess platform fit
Compare Kubernetes with simpler managed platforms and virtual machines. Identify workloads that benefit from orchestration and the team needed to operate it.
For platform teams managing container workloads and inconsistent deployments. We design Kubernetes with delivery pipelines, access controls, observability and a clear operating model.
Compare Kubernetes with simpler managed platforms and virtual machines. Identify workloads that benefit from orchestration and the team needed to operate it.
Connect image builds, configuration, secrets, ingress and deployment workflows. Define environments, roles and rollback procedures.
Test releases, component failure and restoration. Document upgrades, capacity, monitoring and escalation responsibilities.
Kubernetes orchestrates containerised applications across a cluster. It gives teams a consistent way to describe deployments and maintain their desired state. A production platform adds the identity, delivery, security and operational processes needed around that orchestration layer.
It is useful when multiple workloads or development teams need repeatable releases, resource management and a shared platform. For a single small application, the additional cluster lifecycle may not be justified. We compare the proposed platform with simpler hosting before committing to Kubernetes.
A platform scope can include cluster architecture, networking, ingress, certificates, storage, secrets, role-based access and deployment pipelines. We define how images are built and promoted, how applications expose health, and how configuration changes are reviewed. Observability connects cluster health to application errors and user-facing latency.
Deploy a representative application, release a change and demonstrate rollback. Test node loss, application failures and restoration of stateful data. Handover includes upgrade planning, support escalation and capacity assumptions. A successful cluster installation alone is not the acceptance criterion.
A managed control plane does not remove all platform responsibilities. Application behaviour, workload permissions and recovery remain explicitly owned. Portability is assessed against storage, identity and provider integrations, not assumed because the workload uses containers.
Learn what container orchestration does, where it helps and when a simpler hosting platform is the better choice.
Cloud & Kubernetes · 3 MINReview identity, releases, storage, observability, upgrades and recovery before a cluster hosts important applications.
Not necessarily. A managed application service or virtual machine can be more appropriate for a small workload. We assess operating effort as well as technical fit.
No. The provider may manage selected infrastructure or control-plane tasks, while your team retains responsibility for workloads, configuration, access and application recovery.