Engineering perspectives, industry trends, and practical guides from the myannah team.
AI & Machine LearningMay 22, 2026
Why most AI projects fail — and what the successful ones do differently
After working on over 40 AI implementations, we've identified the patterns that separate the 30% of projects that deliver measurable ROI from those that stall after the proof-of-concept stage. The answer is rarely technical.
Kubernetes cost optimisation: five patterns that cut our clients' bills by 40%
Container orchestration platforms are powerful — and easy to over-provision. We walk through the five techniques our infrastructure team applies to every K8s deployment.
Clean architecture in practice: lessons from a real-world SaaS rewrite
When a client came to us with a 6-year-old monolith that was costing $400k per year in developer slowdown, we redesigned it from scratch. Here's what we learned.
React Native in 2026: still the right choice for cross-platform?
After shipping 18 React Native apps and three Flutter projects, we share an honest assessment of when to choose each — including the one question that determines the answer.
The OWASP Top 10 for 2026: what's changed and how to adapt your stack
The latest OWASP release shifts the threat landscape in meaningful ways. We break down the three changes that will affect most web application teams immediately.
Digital transformation without the buzzwords: a practical framework for mid-market businesses
Most transformation programmes fail because they start with technology instead of outcomes. This is the framework we use with every client to keep transformation grounded in business reality.
Building a real-time analytics pipeline: architecture decisions that matter at scale
From event ingestion to dashboard rendering in under 200ms — the architectural choices we made for a retail client processing 1.2M events per day, and the tradeoffs we debated.