AWS & DevOps services

Kubernetes Engineering

Build, improve, and hand off Kubernetes platforms with deliberate cluster, workload, security, delivery, upgrade, and reliability engineering.

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Scope

What this service can cover

The exact implementation follows the environment and the signed scope. These are the technical workstreams most often composed for Kubernetes Engineering.

01

Cluster architecture

Design EKS networking, nodes, add-ons, identity, tenancy, autoscaling, availability, and environment boundaries.

02

Workload foundations

Standardize ingress, service accounts, secrets, resource controls, disruption budgets, storage, and deployment patterns.

03

Delivery and policy

Implement Helm or Kustomize patterns, CI/CD, GitOps, admission controls, image policy, and environment promotion.

04

Reliability and lifecycle

Improve observability, upgrades, capacity, backups, recovery, cost allocation, and operational ownership.

Work products

What the client receives

  • Cluster and workload architecture
  • Terraform and Kubernetes configuration
  • Delivery, policy, and observability controls
  • Upgrade and operations runbooks with handoff
Delivery approach

From current state to client-owned handoff

01

Map the workflow

Observe how teams request, review, release, operate, and recover changes, including the friction and ownership gaps.

02

Design the path

Define interfaces, guardrails, credentials, promotion, evidence, rollback, and the team responsibilities around them.

03

Implement and pilot

Build the smallest useful path, exercise it with representative work, and correct failures before broader adoption.

04

Transfer and improve

Document use and ownership, measure friction, train maintainers, and leave an improvement backlog in client systems.

Ways to engage

Match the commercial model to the work

Defined project

Professional Services & Consulting

Fixed fee or time and materials for a scoped outcome, implementation, acceptance, and handoff.

 Recurring capacity

Managed DevOps / Support & Advisory

Monthly business-hours engineering capacity against a shared Jira backlog.

 Clarify first

Assessment Programs

Use a focused diagnostic when the current state or right next step is not yet clear.
Related paths
Containers and Kubernetes on AWSContainerize and operate workloads on ECS, EKS, or Fargate with deliberate networking, security, delivery, observability, and ownership. GitOps ConsultingDesign pull-based delivery, repository and promotion models, policy, drift handling, rollback, and ownership with Argo CD, Flux, or the right alternative. Observability and Reliability EngineeringImprove telemetry, service objectives, alerting, failure handling, recovery, and operational learning for AWS platforms and applications.
FAQ

Scoping Kubernetes Engineering

Is this only a tool installation?

No. The work includes the workflow, access, ownership, adoption, evidence, and operating path around the selected tools.

Can this be a project or a recurring backlog?

Yes. A defined outcome can use Consulting; evolving implementation and improvement work can use Support and Advisory monthly capacity.

Who maintains the result?

Client owners keep the repositories, cloud accounts, operational decisions, and documented maintenance path after handoff.

Bring the environment and the decision you are facing.

Use the free hour to work through the current state and identify a useful next step before you commit to a project.

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