Capability guide
Kubernetes provides orchestration. A cloud-managed implementation and a maintained developer path determine how that capability becomes usable. Evaluate Kubernetes, EKS, GKE and internal developer platforms as related decisions, with distinct ownership.
A platform your application teams can use. The right starting point depends on what already exists, which decisions are open and the people who will operate or use the result.
Design and harden production clusters, with multi-cluster orchestration on EKS and GKE.
Build internal developer platforms and self-service golden paths that fit your engineering workflow.
A focused assessment can establish the unknowns. Implementation delivers an agreed change. Ongoing services and embedded specialists require their own responsibility and coverage terms.
Choose the topic you need to inspect. Each page explains the specific work, a practical example, deliverables and its operating boundaries.
Kubernetes orchestrates containerized workloads using a declared desired state. Choosing Kubernetes is also a decision about deployment, identity, networking, storage and the team that will operate the platform.
You need repeatable container delivery or an existing cluster has become difficult to govern, upgrade or support.
Amazon Elastic Kubernetes Service is AWS’s managed Kubernetes offering. An EKS engagement designs how the cluster, AWS services and your applications work together, including the responsibilities that remain with the operating team.
You are adopting Kubernetes on AWS or need to improve the reliability, access and upgrade behavior of an existing EKS environment.
Google Kubernetes Engine is Google Cloud’s managed Kubernetes service. Its Autopilot and Standard modes offer different balances of platform management, flexibility and responsibility.
You need Kubernetes on Google Cloud and want the operating model to fit the workload, rather than inherit a cluster setup that nobody has evaluated.
Platform engineering treats shared engineering capabilities as an internal product: reusable paths for building, releasing and operating software, with a team responsible for their usefulness.
Teams repeatedly solve the same infrastructure and delivery problems, or platform requests depend on a queue of manual tickets.
An internal developer platform brings supported engineering workflows into a discoverable self-service experience. A portal may be its front door, but the value comes from the working paths behind it.
Developers struggle to find service ownership, create environments or understand the supported route to production.
The exact outputs follow the engagement. This capability group can include cluster design, reusable infrastructure, developer golden paths.
Agree the acceptance evidence, repository or record location and next operating owner before the work begins. Exceptions and unfinished dependencies remain visible in the handover.
Coordinates the agreed assessment, implementation or service activities, directly or with the required specialist support. The scope defines the decisions, checks and records to be delivered.
Provides business priorities, authorized access and accountable reviewers. Customer-directed individual staffing remains distinct from a DotConn-coordinated team or managed service.
Zero-downtime migration is a target to evaluate per workload, with agreed cutover criteria. Continuing cost governance belongs in Managed TechOps & FinOps.
No. Kubernetes runs containerized workloads. Platform engineering connects supported workflows and ownership around tools, which may include Kubernetes.
Yes. Start with a bounded requirement, then connect adjacent work only when the dependencies or intended outcome justify it. Your enquiry can name the specific capability and current constraint.