AWS & DevOps services

Containers and Kubernetes on AWS

Containerize and operate workloads on ECS, EKS, or Fargate with deliberate networking, security, delivery, observability, and ownership.

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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 Containers and Kubernetes on AWS.

01

Runtime selection

Compare ECS, EKS, Fargate, managed node groups, and existing platforms against control, skills, portability, and cost needs.

02

Container foundation

Build images, registries, task or pod identity, secrets, networking, ingress, scaling, and environment boundaries.

03

Delivery and policy

Create image and deployment workflows, environment promotion, policy checks, GitOps where appropriate, and rollback.

04

Operations and reliability

Implement logs, metrics, traces, health checks, capacity, disruption controls, backups, upgrades, and ownership.

Work products

What the client receives

  • Runtime and architecture decision
  • Terraform platform and workload configuration
  • Build and deployment workflows
  • Runbooks, dashboards, validation, and handoff
Delivery approach

From current state to client-owned handoff

01

Discover

Map workloads, dependencies, data, access, operating constraints, business windows, and accountable owners.

02

Plan waves

Choose workload treatment, landing requirements, sequence, validation, rollback, and cutover criteria.

03

Move and test

Implement foundations and workload changes, rehearse the path, migrate in bounded waves, and verify behavior.

04

Stabilize

Close cutover issues, confirm monitoring and ownership, document the result, and hand off the next backlog.

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
AWS ModernizationAssess and sequence application, runtime, database, delivery, and operating-model modernization on AWS. GitOps ConsultingDesign pull-based delivery, repository and promotion models, policy, drift handling, rollback, and ownership with Argo CD, Flux, or the right alternative. Kubernetes EngineeringBuild, improve, and hand off Kubernetes platforms with deliberate cluster, workload, security, delivery, upgrade, and reliability engineering. Modernize Applications on AWSTurn application constraints into a phased AWS modernization path across runtimes, data, integration, delivery, security, observability, and ownership.
FAQ

Scoping Containers and Kubernetes on AWS

Is rehosting assumed?

No. Workload treatment follows dependency, risk, support, economics, operating model, and business timing rather than a default migration pattern.

How are migration waves chosen?

Waves are organized around application and data dependencies, landing prerequisites, change windows, validation, rollback, and accountable owners.

What happens after cutover?

The scope includes the agreed stabilization, validation, documentation, ownership transfer, and follow-up backlog rather than ending at data movement alone.

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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