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AI agents are powerful because they're unpredictable, which is exactly why guardrails alone can't make them safe in production. Platform orchestration that only executes safe commands, not more guardrails, is what actually protects your infrastructure.

A practical comparison of Kratix, KubeVela, KusionStack, and Humanitec, and how to tell a platform orchestrator from an application orchestrator

The agent harness shouldn't be assembled per team from loose configs. Here's why platform teams should deliver it as a versioned, catalogued capability.

Why AI rollouts stall isn't the model; it's platform orchestration. See how enterprises govern AI agents at scale without slowing delivery down.

Giving every team direct Kubernetes API access to build custom controllers creates a noisy neighbour problem. Here's the abstraction that avoids it.

LLMOps keeps large language models reliable in production. Learn what it involves, how it differs from MLOps, and why platform engineering is where it belongs.

Daniel Bryant shares the key lessons from his KubeCon NA 2025 talk on composable platform architectures, platform as a product, governance, APIs, and building platforms that scale.

AI is accelerating software creation faster than organisations can safely operationalise it. This is a summary of my talk at the O’Reilly Infrastructure and Ops Superstream on Platform Engineering and AI.

We’re excited to share that Syntasso has been recognised in the Cord Spring 2026 Tech Hiring Rankings, including: #1 Gender Diversity Sourcing (Small Companies) and #3 Most Popular Small Company for Engineers

Abby's framing is simple: every major shift in software delivery raises the bar. Cloud sped up provisioning. DevOps reshaped ways of working. Kubernetes changed architecture. Now, AI is changing what internal platforms must enable, and it is happening at a pace most organisations are not structurally ready for.

This is a summary of a talk about something most teams only notice when it goes wrong: debugging Kubernetes controllers.

This year, we continued to engage with the community at major events, ship improvements to Kratix, and expand the conversation around platform engineering, all while exploring what matters most to platform builders. As 2025 draws to a close, here are our thoughts as to why platform engineering has firmly moved into its next phase.

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.

When building a platform, engineering leaders often focus on technology choices without first building a shared vision with developers, specialist teams and other stakeholders. This results in low adoption or, in the worst case, wasted investment. This article will provide a practical leadership framework for securing developer support before a single platform component is built.

Most internal platforms don’t fail on day one: they fail on day 2, 200, or 2000. What starts as a solid solution to today’s needs often turns into tomorrow’s bottleneck: brittle delivery processes, endless ticket queues, and systems so complex they collapse under their own weight. At Syntasso, we built Kratix to flip this pattern.

You know the saying, “If we build it, they will come”? Well, it doesn’t hold up when building software today, and it definitely doesn’t work for internal platforms. You see, internal platforms are products. And like any product, they (should) have users. In this case, your users are your developers. That makes platform engineering a form of consumer software development, even if the consumer is inside your organisation.

Scaling Prometheus for multiple teams is no small feat as each team typically needs a dedicated instance to monitor their applications. This post shows how Kratix lets you expose Prometheus as a reusable and GitOps-friendly service.

This is a lightly edited summary of a KubeCon EU Platform Engineering Day panel with Paula Kennedy (Syntasso) hosting Suhail Patel (Monzo), Jinhong Brejnholt (Saxo Bank), Rachael Wonnacott (Fidelity), and Mark Campbell (Natwest Bank).

A good internal platform is one that delivers speed, safety, efficiency, and scalability to meet the evolving needs of software teams.

A guide to building internal developer platforms (IDPs) with Kratix and Crossplane