Kubernetes Consulting
Kubernetes platform design and delivery for teams that need working clusters, clean operating models, controlled upgrades, and application onboarding paths that can hold up in production.
What This Engagement Covers
Kubernetes work can begin with a greenfield platform build, a brownfield migration onto OpenShift or managed Kubernetes, or an effort to improve reliability and operating discipline on an existing estate. The requirement is not just clusters; it is a production platform with clear delivery, governance, and support expectations.
Ideamics works across OpenShift, EKS, AKS, and mixed Kubernetes estates where the scope can include architecture and deployment from scratch, cluster governance, GitOps, runtime services, ingress and secret patterns, upgrade planning, and the validation steps needed before production changes are promoted.
That can include OpenShift fleet management with ACM, managed Kubernetes on AWS or Azure, application onboarding standards, operator policy, monitoring baselines, and the documentation and training needed for the client team to build, run, improve, and support the platform over time.
Typical Scope
- OpenShift, EKS, and AKS platform design and implementation
- Multi-cluster governance, GitOps structure, and baseline policy enforcement
- Ingress, secrets, observability, RBAC, and runtime service standardization
- Cluster upgrades, workload transition planning, and validation procedures
- Application onboarding standards, runbooks, and operator enablement
Where Teams Usually Need This
- A team needs a Kubernetes platform designed and deployed from the ground up
- A Kubernetes platform exists, but upgrades, onboarding, or operations still feel improvised
- A team needs OpenShift fleet governance, cluster consistency, or ACM-based management
- Managed Kubernetes is being introduced and requires a production-ready operating model
- Application teams need a clearer path from repository to cluster without bespoke setup
- Platform operators need reliable validation, rollback, and handover procedures around changes
How Ideamics Delivers It
- Define the platform boundaries first: cluster roles, promotion model, runtime services, identity and access assumptions, and the delivery workflow teams will use from initial deployment through ongoing operations.
- Implement the platform in code using the client toolchain, whether that means ACM, GitOps repositories, Terraform modules, Helm releases, or cloud-native Kubernetes services in a new or existing environment.
- Validate workloads and platform changes with lower-environment rehearsals, manifest and chart checks, runtime health verification, and explicit pre-flight and post-change procedures before major releases or lifecycle events.
- Handover covers build runbooks, upgrade procedures, operator guidance, workload onboarding notes, and working sessions with the platform and application teams who will own, operate, and extend the environment after rollout.
Relevant Project Examples
These representative projects show how this service area has been applied in real delivery environments.
OpenShift Fleet Deployment and Cluster Governance with ACM
A multi-cluster OpenShift foundation using ACM, Argo CD, Kustomize, Terraform, Ansible, and policy validation.
OpenShift Upgrade Program and Workload Transition Planning
Upgrade readiness matrices, Helm and kubeconform validation, canary rollouts, and runbook-driven OpenShift lifecycle work.
Multi-Account Landing Zone and EKS Platform Deployment
Production-oriented EKS delivery with IRSA, ingress, DNS, cert-manager, secret injection, and workload onboarding.
Azure Landing Zone and AKS Deployment for Shared Platform Services
AKS platform delivery with managed identities, Azure CNI, Key Vault integration, and operational visibility built into the base design.
Explore Related Service Pages
The service overview stays broad. These deeper pages cover the specific work streams clients usually need when platform, Kubernetes, security, and operating-model questions become concrete delivery problems.
Platform Engineering Consulting
Internal developer platforms, paved paths, self-service workflows, and platform operating models for teams that need repeatable delivery.
Cloud Architecture Consulting
Landing zones, shared services, managed Kubernetes, resilience, and operating models across AWS, Azure, and GCP.
Multi-Cloud Architecture
Cross-cloud workload placement, disaster recovery, data movement, and operating models spanning AWS, Azure, GCP, and hybrid environments.
DevSecOps Consulting
Security controls embedded into delivery pipelines, Kubernetes platforms, and infrastructure workflows without losing engineering momentum.
Observability & SRE Consulting
Metrics, logs, traces, alerting, service reliability practices, and operational handover for production systems.
Discuss a specific initiative
If your team is working through greenfield delivery, brownfield transformation, or change within an existing environment across platform design, Kubernetes deployment, multi-cloud architecture, DevSecOps controls, or reliability engineering, Ideamics can help define and implement a practical path forward.