
MuleSoft 4 migration: a pragmatic field guide
What we learned moving a 200-flow estate from Mule 3 to 4 without freezing the business for a quarter.
Integration patterns, platform notes, and lessons from the field. Long-form technical writing from the engineers behind the work.
How an API gateway buys you time, observability, and a place to layer auth without rewriting downstream services.
Three reusable shapes that solve 80% of the Salesforce-to-anywhere problems we see in the wild.
A practical walk-through of the deployment story when your Anypoint runtime fabric lives in Azure rather than CloudHub.

A small open-source connector for surfacing Anypoint runtime health into the dashboarding stack of your choice.

Patterns to keep async workflows debuggable: idempotency keys, sane DLQ policies, and why “at least once” beats “exactly once” for most teams.

How we built a streaming Customer 360 for a global retailer. What Data Cloud handles well, where MuleSoft still pulls weight, and the seams in between.

Why most MDM efforts fail, and a smaller-scoped approach that gets you to a single source of truth in a quarter.

A practitioner’s comparison from a year of running both in production. Less of a winner-takes-all than the marketing implies.

Notes from three months of treating an LLM as a junior on the team. What works, what to keep humans on, and where the savings actually land.

We piped Kong gateway logs through an LLM-backed anomaly summarizer. Real numbers on signal-to-noise improvements, plus the prompt that worked.

Patterns that bring runtime fabric cost down without sacrificing the latency budget your SLAs depend on.

Practical notes on schema design, auth, caching, and how to move clients across without a hard cutover.