All Posts

Platform engineering has matured quickly over the last few years. Self-service works on day one. But day two and beyond — governance, change, policy enforcement, and fleet-wide consistency — is where things start to creak. This is where platform orchestration becomes the missing piece. In this post, we’ll connect the dots between platform intent and platform reality, using Syntasso Kratix Enterprise (SKE).

Can GenAI solve the platform engineer’s biggest pains? Can it accelerate platform delivery, improve developer experience, and make infrastructure more secure and efficient? The short answer is yes, but only if your platform is designed to provide AI with a solid foundation to work with. The missing ingredient is structure.

The multi-vendor collaboration and Kubernetes SIG home demonstrates real momentum for kro. Each cloud provider recognises the value of a portable, Kubernetes-native model for grouping and orchestrating resources, and the importance of reducing manual dependency management for platform teams.

Platform engineering is maturing quickly, but every conversation focuses on enterprises with hundreds of developers. Startups that consider platform engineering often struggle to know where to begin, and others dismiss the idea entirely.  The goal of this article is not to tell you that you need platform engineering as a startup, but to help you checkmate if you do, and prepare you for the journey ahead. 

When embracing cloud and container technologies, it’s tempting to think of fleet management as a challenge for tomorrow. But the reality is that the majority of organisations quickly bump into the need to run multiple VMs, container, and Kubernetes clusters. This is where Kratix comes in. In this guide, we’ll explore how Kratix enables you to orchestrate and deploy services seamlessly across a fleet.