Ideas, insights & engineering wisdom.
Deep dives into software architecture, DevOps, AI and the business of technology.
Building Resilient Microservices: Lessons from a Production Migration
Migrating a monolith to microservices is never straightforward. Here is what we learned moving a high-traffic payment system to a distributed architecture without downtime.
By Marcus Chen
Practical Guide to Infrastructure as Code with Terraform and GitHub Actions
Infrastructure as Code eliminates configuration drift and makes environments reproducible. This guide walks through a real CI/CD pipeline for provisioning AWS infrastructure.
By Elena Volkov
How we reduced our cloud bill by 40% without sacrificing performance
Cloud costs can spiral quickly. We audited our AWS infrastructure and found several high-impact optimisations that cut monthly spend while improving reliability.
By Sofia Petrova
Retrieval-Augmented Generation: Making LLMs useful for enterprise data
Large language models hallucinate when they lack context. RAG grounds model outputs in your actual data. Here is how we built a production RAG pipeline.
By Daniel Osei
The hidden cost of technical debt: A framework for prioritisation
Every engineering team carries technical debt. The problem is not its existence but the absence of a systematic way to evaluate and prioritise it against feature work.
By Amir Hassan
Securing Kubernetes clusters: A practical checklist
Kubernetes defaults are not secure by default. This checklist covers the most impactful hardening steps for production clusters, from RBAC to network policies.
By Priya Sharma
Why your digital transformation is probably a digitisation project
Most organisations confuse digitising existing processes with genuine digital transformation. One replaces paper with PDFs. The other rethinks the process entirely.
By Amir Hassan
Event-driven architecture with Apache Kafka: When it makes sense and when it does not
Event-driven architecture solves real problems around decoupling and scalability. But it also introduces complexity. Here is how to decide if Kafka is the right choice.
By Marcus Chen
Continuous deployment strategies that actually work at scale
Blue-green, canary, rolling updates, feature flags. Each deployment strategy has trade-offs. Here is how we chose and combined them for a platform serving millions of users.
By Elena Volkov
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