SYNTASSO BLOG

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.

I recently gave a talk called "Your Platform Team Is the Bottleneck: Operating Internal Platforms at Enterprise Scale," and the title wasn't meant to be provocative for its own sake. It's just what I keep seeing. I've been a platform engineer, and I've owned platform teams, and the pattern repeats itself almost every time an organisation grows past a certain size: the team that was supposed to remove friction becomes the place where everything gets stuck. That's not a failure

Syntasso Kratix Enterprise (SKE) and Syntasso Kratix Agentic (SKA) are now available on the AWS Marketplace.

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.

Today, we're introducing Upgrade Orchestration in the Syntasso Kratix Enterprise Platform Manager: a new capability that gives platform teams precise, declarative control over how platform changes are rolled out across an entire fleet.

Upgrades felt too big for our customer's SKE POV. That's probably not unusual. However, the whole point of a good POV is to surface real concerns early, before the decision is made. Learn more about our platform orchestrator POV process.

I was fortunate to join almost 70 people at the European Future of Software Engineering (FOSE) retreat, hosted by Thoughtworks. AI dominated every conversation at FOSE. Surprisingly, though, the biggest lesson wasn't about better models or autonomous agents. It was that the organisations moving fastest are investing in better boundaries. Across the diverse experiences, there was also a theme of "slow is smooth and smooth is fast". Investing in the right primitives unlocks tre