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The goal of this article is to explain what an internal developer platform and an internal developer portal are, how they differ, and where they overlap. We’ll also demonstrate how they can work together to support developer self-service, compliance, and streamlined workflows.

Platform engineering promises to accelerate delivery and reduce complexity, but if not approached deliberately, it can quickly become a cost sink. This article examines the hidden costs in platform engineering and explores cost-optimisation strategies to maintain a lean approach without compromising innovation.

Many organisations have successfully adopted GitOps for application delivery, but platform infrastructure provisioning often remains stubbornly manual, especially within enterprises. And by the end of this guide, you’ll see what this looks like in practice. You’ll request a Redis instance with a simple YAML manifest, Kratix will process the request, and Flux will automatically deploy the resources across your clusters.

Independent research reinforces this. MIT’s 2025 State of AI in Business report found that despite tens of billions in spend, only 5% of custom enterprise AI tools make it to production. Enterprises lead in pilot volume yet lag in scale. The findings point to approach, not model quality, as the real limiter. This article explores three platform-engineering principles that consistently turn AI from hype into working enterprise systems.

Workflow engines are having a moment in platform engineering. Tools like Temporal, Camunda, or n8n are being adopted to manage stateful automation, retries, and human approvals. They’re powerful, but they’re not platforms.  This post distils the workflow-engine thread from our webinar “Beyond the Platform Facade: Why Portals and Pipelines Aren’t Enough,” which Abby hosted and I presented.