The situation
Several teams deploy containers differently and share an under-documented cluster.
Kubernetes Consulting & Implementation
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.
- Assess whether it fits
- Design the platform
- Establish operating routines
Is this right for you?
When this is the right work.
You need repeatable container delivery or an existing cluster has become difficult to govern, upgrade or support.
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
What DotConn delivers.
- 01
Assess whether it fits
Review workload shape, deployment needs, team capability and simpler alternatives before committing to a cluster.
- 02
Design the platform
Agree workload boundaries, resource policy, networking, storage, access and release integration.
- 03
Establish operating routines
Plan upgrades, health checks, backup and restoration, observability and incident ownership.
Deliverables
What you receive.
Acceptance criteria identify the checks, records and handover needed for the agreed scope.
- Kubernetes suitability and architecture decisions
- Versioned cluster and workload configuration
- Upgrade, recovery and operating runbooks
In practice
A practical example.
Our approach
We assess workload requirements, separate platform and application responsibilities and implement a bounded delivery path.
The useful result
The result is a platform design the receiving team can explain and operate.
Responsibility
Agree the responsibility.
DotConn
Assesses and delivers the technical work in the agreed scope, with reviewable changes and handover. Continuing operation requires a separately defined managed-service scope.
Your team
Provides authorized access, business priorities and accountable decision-makers; approves policy choices and accepts the agreed result.
Set this boundary early
Kubernetes is the orchestration platform; EKS and GKE are managed implementations with different service choices. Managed control planes do not eliminate application responsibility.
FAQ
Questions worth resolving.
Technical reading
How do Kubernetes, EKS and GKE differ?
Kubernetes defines the platform behavior. Amazon EKS and Google Kubernetes Engine provide cloud-managed Kubernetes options. Their cloud integrations, modes and shared responsibilities require separate design decisions.
Pricing, timing and how to prepare are covered in working with DotConn.
Connected work
Services that work alongside this.
Amazon EKS Consulting & Implementation
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.
ExploreGoogle Kubernetes Engine Consulting & Implementation
Google Kubernetes Engine is Google Cloud’s managed Kubernetes service. Its Autopilot and Standard modes offer different balances of platform management, flexibility and responsibility.
ExplorePlatform Engineering
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.
ExploreInternal Developer Platforms
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.
Explore