Platform engineering is the discipline of building and maintaining Internal Developer Platforms (IDPs) — self-service tools and workflows that enable development teams to provision infrastructure, deploy applications, and manage services without waiting for operations tickets. It represents a maturation of the DevOps movement, addressing the reality that not every developer can or should be a Kubernetes expert.
Why Platform Engineering Matters
The promise of DevOps was that development teams would own the full lifecycle of their services. In practice, this often resulted in cognitive overload: developers were expected to manage CI/CD pipelines, Kubernetes manifests, cloud infrastructure, monitoring, security scanning, and more — on top of writing application code.
Platform engineering addresses this by creating a layer of abstraction between developers and the underlying infrastructure. Instead of writing Terraform modules and Kubernetes YAML, developers interact with a curated set of templates, APIs, and self-service workflows that encode organisational best practices.
- Reduced cognitive load — developers focus on application logic rather than infrastructure plumbing.
- Consistent standards — security, compliance, and operational best practices are built into the platform, not enforced through documentation.
- Faster onboarding — new team members can deploy their first service in hours rather than weeks.
- Reduced duplication — common capabilities (logging, monitoring, service mesh, CI/CD) are provided once and shared across teams.
Core Components of an Internal Developer Platform
An effective IDP typically includes the following capabilities:
- Service catalogue — a searchable registry of all services, their owners, documentation, and dependencies. Tools like Backstage (created by Spotify and now a CNCF project) are widely used for this.
- Self-service infrastructure provisioning — developers request resources (databases, message queues, storage buckets) through templates or a portal, and the platform provisions them automatically using Terraform or Crossplane behind the scenes.
- Golden paths for deployment — pre-configured CI/CD pipelines and deployment workflows that teams can adopt with minimal customisation. These encode security scanning, testing, and deployment best practices.
- Observability stack — integrated monitoring, logging, and alerting that teams can use without setting up their own infrastructure.
- Documentation and knowledge base — centralised technical documentation, runbooks, and architectural decision records accessible through the platform portal.
Building vs Buying
One of the first decisions is whether to build your IDP from open-source components or adopt a commercial platform:
- Build with open source — combine Backstage for the developer portal, Argo CD or Flux for GitOps delivery, Terraform for infrastructure provisioning, and your existing CI/CD system. This gives maximum flexibility but requires significant engineering investment.
- Commercial platforms — solutions like Humanitec, Kratix, or Port offer pre-built platform capabilities with faster time to value. These can be a good starting point for smaller teams that lack the engineering capacity to build from scratch.
- Hybrid approach — start with a commercial solution for the developer portal and self-service layer, then gradually replace components with custom-built alternatives as your platform team matures.
Organisational Considerations
Technology is only part of the equation. Successful platform engineering requires organisational commitment:
- Dedicated platform team — platform engineering is a full-time job. Assign a dedicated team (even if it starts with two or three people) whose sole responsibility is building and maintaining the IDP.
- Treat the platform as a product — your developers are your customers. Gather feedback, prioritise features based on developer pain points, and measure adoption and satisfaction.
- Start small — do not try to build a complete IDP on day one. Identify the highest-friction developer workflow (often environment provisioning or CI/CD setup) and automate that first.
- Maintain escape hatches — allow teams to go beyond the golden paths when they have legitimate needs. The platform should enable, not restrict.
Measuring Success
Track metrics that reflect the platform's impact on developer productivity and operational quality:
- Time to first deployment — how long it takes a new service to go from idea to running in production.
- Deployment frequency — how often teams deploy, which typically increases when friction is removed.
- Lead time for changes — the time from code commit to production deployment.
- Platform adoption rate — what percentage of teams are using the platform's golden paths versus rolling their own solutions.
- Developer satisfaction — regular surveys measuring developer experience and identifying remaining pain points.
How ICTLAB Can Help
ICTLAB helps Belgian organisations design and implement Internal Developer Platforms as part of our DevOps and cloud services. Whether you are starting with a developer portal or building a complete self-service infrastructure layer, we bring practical experience in platform engineering to help your team deliver faster and more reliably.