What This Engagement Covers
Cloud architecture can begin with a greenfield build, a brownfield migration, or an existing estate that needs stronger structure, governance, and operational clarity. The common requirement is a foundation that can support engineering teams, shared services, production workloads, and future change without accumulating avoidable drift.
Ideamics approaches that work as both an architecture and implementation problem. That can mean defining landing zones, account, subscription, or project structure, network boundaries, identity and access patterns, logging and monitoring baselines, managed Kubernetes platforms, and the deployment paths teams will actually use once the environment is live.
The scope can stay within a single cloud or extend into cross-region and cross-cloud resilience, depending on the client need. The emphasis stays practical: build the core platform, validate how workloads onboard, document the operating model, and leave the client team with a platform they can run and extend confidently.
Typical Scope
- AWS, Azure, and GCP landing zones with account, subscription, and project structure
- Shared services, identity, networking, DNS, and security baseline design
- EKS, AKS, and GKE platform deployment for application onboarding and runtime operations
- Cross-region and cross-cloud resilience, disaster recovery, and failover planning
- Governance, cost visibility, and operating-model documentation for ongoing platform ownership
Where Teams Usually Need This
- A team needs a cloud foundation designed and deployed from the ground up
- An existing AWS, Azure, or GCP estate has grown unevenly and needs stronger structure
- Managed Kubernetes is being introduced and must fit a broader cloud operating model
- Shared services, identity, and network controls need to be standardized before more workloads land
- Leadership wants a cloud architecture that supports delivery, resilience, and supportability rather than isolated one-off builds
- A migration or platform refresh needs architecture, implementation, and handover handled as one engagement
How Ideamics Delivers It
- Start by defining the target operating model, environment boundaries, workload classes, and control-plane responsibilities the cloud platform needs to support after rollout.
- Implement the core foundation in code with the client team, including landing-zone structure, identity and network baselines, shared services, and managed Kubernetes patterns where those are part of the platform.
- Validate the platform through lower-environment onboarding, policy and configuration checks, deployment-path testing, and recovery or resilience rehearsal where that is part of the target design.
- Handover includes architecture diagrams, platform runbooks, onboarding guidance, ownership notes, and working sessions for the engineers who will operate and extend the environment after delivery.
Relevant Project Examples
These representative projects show how this service area has been applied in real delivery environments.
Multi-Account Landing Zone and EKS Platform Deployment
AWS landing-zone design, network and IAM guardrails, EKS delivery, and workload onboarding implemented as a production-ready platform foundation.
Azure Landing Zone and AKS Deployment for Shared Platform Services
Azure management groups, subscriptions, hub-and-spoke networking, AKS, identity integration, and operational baselines delivered as one architecture program.
GCP Landing Zone and GKE Platform Deployment for Shared Services
Shared VPC, workload identity, GKE, ingress security, secrets handling, and observability baselines for a cleaner GCP operating model.
Regional Deployment and Disaster Recovery Architecture for Customer Workloads
A resilience-focused architecture engagement covering deployment topology, failover behavior, and recovery testing for production workloads.
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.
Kubernetes Consulting
Kubernetes platform design, cluster operations, upgrades, governance, and application onboarding across OpenShift and managed cloud services.
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.