Ideas, insights & engineering wisdom.
Deep dives into software architecture, DevOps, AI and the business of technology.
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
Fine-tuning open-source LLMs for domain-specific tasks
Off-the-shelf language models are generalists. For specialised tasks, fine-tuning on your own data consistently outperforms prompt engineering alone.
By Daniel Osei
API design principles that developers actually appreciate
A well-designed API is invisible. A poorly designed one generates support tickets. These principles come from building APIs consumed by thousands of developers.
By Kian Farhadi
From monolith to modular: A pragmatic migration strategy
You do not need to rewrite everything at once. A strangler fig pattern combined with domain-driven design lets you migrate incrementally while keeping the business running.
By Amir Hassan
Observability beyond monitoring: Building a culture of operational excellence
Monitoring tells you something is broken. Observability tells you why. But tooling alone is not enough; you need the right culture and processes around it.
By Sofia Petrova
How we built an AI-powered document processing pipeline in 8 weeks
Processing thousands of invoices, contracts, and reports manually was unsustainable. We built an automated pipeline using OCR, NLP, and custom classifiers.
By Daniel Osei
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