Platform Engineering Consulting
Platform engineering work for teams that need internal platforms, paved paths, and reusable delivery systems rather than another cycle of ad hoc enablement.
What This Engagement Covers
Platform engineering can start with a greenfield internal platform, a brownfield transformation of an existing platform, or targeted work within an existing environment once the basics are already in place. The common requirement is the same: delivery systems that are repeatable, supportable, and usable by engineering teams without constant bespoke assistance.
Ideamics approaches that work as a platform product exercise. That can mean designing and deploying a new internal developer platform from scratch, defining service templates and GitOps patterns, building Terraform modules, establishing self-service workflows, and setting the ownership boundaries between the platform function and the teams consuming it.
It can also mean improving an existing platform by reducing drift, tightening onboarding paths, refining governance, and strengthening day-two operability. That often includes Backstage, Kubernetes runtime standards, golden paths, internal documentation structure, and the operating model needed to keep the platform useful after launch.
Typical Scope
- Internal developer platform design and implementation
- Backstage developer portals, catalog modeling, and template workflows
- Golden paths for service creation, deployment, and runtime onboarding
- Reusable Terraform modules, GitOps patterns, and delivery guardrails
- Platform team operating model, ownership boundaries, and support reduction
Where Teams Usually Need This
- A team needs to stand up an internal platform, developer portal, or self-service model from the ground up
- A platform team is overloaded with repetitive onboarding and environment requests
- New services are still assembled differently by each team, even when shared tooling exists
- Backstage or a similar portal is being considered and needs a practical implementation plan
- The organization wants self-service without losing reviewability, security, or operational control
- Leadership wants the platform function to behave more like a product and less like a ticket queue
How Ideamics Delivers It
- Start by defining the target platform capabilities, current constraints, team boundaries, and the operational model the platform needs to support after delivery.
- Set the platform scope around concrete capabilities such as new-service scaffolding, runtime onboarding, secrets handling, CI/CD standards, approved infrastructure paths, and day-two support expectations.
- Implement the first paths in code with the client team, whether that means standing up the platform from scratch or reshaping an existing one through Backstage templates, GitOps definitions, Terraform modules, and repository or catalog standards.
- Handover includes template ownership guidance, platform product documentation, usage instructions for application teams, and enablement sessions for the engineers who will operate, extend, and support the platform after rollout.
Relevant Project Examples
These representative projects show how this service area has been applied in real delivery environments.
Backstage Developer Portal and Golden Path Implementation
Backstage, Scaffolder templates, GitHub Actions, Kubernetes integration, and template validation for a working internal platform entry point.
Internal Platform Backlog Reduction and Service Enablement Program
A platform-product style engagement that turned repeated Jira requests into reusable workflows and self-service delivery paths.
Cloud Foundation and Platform Standardization for a Scaling Product Team
Platform patterns, Terraform modules, GitHub Actions, Kubernetes, and Backstage used to reduce drift and standardize service delivery.
Multi-Account Landing Zone and EKS Platform Deployment
An example of platform engineering applied to cloud foundations, Kubernetes runtime standards, and workload onboarding on AWS.
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.
Cloud Architecture Consulting
Landing zones, shared services, managed Kubernetes, resilience, and operating models across AWS, Azure, and GCP.
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.