The situation
A product has workloads on AWS but its EKS changes rely on manual console steps.
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.
Is this right for you?
You are adopting Kubernetes on AWS or need to improve the reliability, access and upgrade behavior of an existing EKS environment.
The first conversation establishes the environment, the constraint and who will accept the result. We agree a bounded starting point before expanding the engagement.
Scope
Assess workload constraints, compute options and the level of platform control the team needs. Record why the selected model fits.
Design VPC connectivity, workload access, storage and environment separation around the application.
Version cluster configuration, define workload deployment and rehearse upgrades and relevant restoration checks.
Deliverables
Acceptance criteria identify the checks, records and handover needed for the agreed scope.
In practice
The situation
A product has workloads on AWS but its EKS changes rely on manual console steps.
Our approach
We document the current dependencies, move agreed changes into versioned configuration and test the maintenance path.
The useful result
The team receives a repeatable change process and a clear split between AWS, platform and application responsibilities.
Responsibility
Assesses and delivers the technical work in the agreed scope, with reviewable changes and handover. Continuing operation requires a separately defined managed-service scope.
Provides authorized access, business priorities and accountable decision-makers; approves policy choices and accepts the agreed result.
EKS features, modes, costs and version support are confirmed during scoping. DotConn does not claim an AWS partnership or an automatic application availability guarantee.
FAQ
No. The selected EKS model changes infrastructure tasks, while service objectives, application behavior, release decisions and incident ownership still need people and an agreed operating model.
Pricing, timing and how to prepare are covered in working with DotConn.
Connected work
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.
ExploreGoogle Kubernetes Engine is Google Cloud’s managed Kubernetes service. Its Autopilot and Standard modes offer different balances of platform management, flexibility and responsibility.
ExploreManaged SRE takes on agreed recurring reliability activities: service signals, on-call or incident processes, runbooks and reliability improvement. The operating scope must match the system and the coverage actually staffed.
ExplorePlatform engineering treats shared engineering capabilities as an internal product: reusable paths for building, releasing and operating software, with a team responsible for their usefulness.
Explore