Vector search tells you which chunks are similar to your query. GraphRAG tells you how entities in your corpus relate to each other. This post covers when that distinction matters,...
The Technical Compendium
Insights on ai, architecture, cloud-native deployments, and modern DevOps
Prompt engineering asks how to phrase an instruction. Context engineering asks what information the model needs, in what form, in what order, and how much of it. This post covers...
Standard RAG retrieves once and hopes for the best. Agentic RAG retrieves, reflects, decides it was wrong, and tries again. This post covers the full architecture — query planning, iterative...
Everyone ships the RAG system. Almost nobody ships the eval system that tells them when the RAG system starts lying. This post covers the four metrics that matter, LLM-as-Judge calibration,...
Most teams get RAG working in a notebook over a weekend. Very few get it working reliably in production. This post covers the full pipeline — chunking strategy, hybrid retrieval,...
Writing to a database and publishing an event in the same operation without a transaction boundary is one of the most common correctness bugs in microservices. This post covers why...
Traditional reconciliation breaks at the seams of distributed ownership. This post covers where rule-based reconciliation fails, how embedding similarity and LLM classification fill the gap, the observation window pattern for...
Lift-and-shift leaves on-premises assumptions baked into a system operating in a fundamentally different environment. This post covers the six architectural smells that surface after migration — latency amplification, chatty services,...
Most teams design for instance and zone failures but treat region-level outages as someone else's problem. This post covers the real architecture decisions behind multi-region resilience — active-passive vs active-active...
High availability is not a property you buy — it is a discipline you build. This post covers how partial failures propagate into full outages, the concrete patterns that prevent...
Platform Engineering is the architectural response to infrastructure tax at scale. This post covers the four pillars of a production-grade IDP — self-service provisioning, golden path CI/CD, centralized observability, and...
Keyword relevance or semantic understanding — the answer is rarely one or the other. This deep dive covers BM25 mechanics, vector search with embeddings, hybrid retrieval via Reciprocal Rank Fusion,...
Every distributed system you build is already taking a side in the CAP trade-off. This post covers CP vs AP in practice, the PACELC model that actually matches production, architectural...
The saga pattern looks straightforward in diagrams and becomes genuinely complex in production. This post compares orchestration and choreography — central control vs. decentralized reactions — covering failure modes, compensation...
Idempotency is more than 'retry safely' — it's a system-wide property requiring deliberate design. This deep dive covers idempotency key semantics, deduplication store architecture, two-phase reservation patterns, API gateway vs...
Bootstrap a production-ready dev infrastructure VM with Docker, GitHub Actions runner, SQL, Redis, Portainer and Adminer — from zero to running in under an hour.
Running GitHub Actions self-hosted runners on Kubernetes at scale requires careful architectural decisions around isolation, security, and cost. This deep dive covers Actions Runner Controller (ARC) deployment patterns, namespace vs...
A comprehensive guide to leveraging AI as a strategic force multiplier in modern software development. Real-world examples of AI-assisted Kubernetes deployments, Terraform generation, CI/CD optimization, and intelligent debugging that deliver...
An honest examination of private endpoint proliferation in cloud architectures, covering the hidden costs of DNS complexity, network debugging nightmares, and when private endpoints are actually unnecessary despite security theater....
A concise guide to multi-tenant SaaS architecture patterns covering isolation models, blast radius considerations, and real-world scaling inflection points for production environments.
A pragmatic, production-focused deep dive into CQRS—covering divergence risks, operational complexity, and safe migration strategies from CRUD systems.
A deep architectural comparison of Docker Compose and Kubernetes, focusing on system design principles, trade-offs, and real-world usage decisions.
Progressive Web Apps combine web reach with native capabilities. Explore PWA architecture, service workers, caching strategies, and why they matter for modern applications.
Modern CI/CD pipelines waste time repeatedly installing the same tools. Learn how pre-baked Docker images eliminate repetitive setup work, improve reliability, and save several minutes per pipeline run.
AI is often discussed as a force multiplier for software development. In practice, the most effective teams are not using it to bypass engineering rigor or accelerate recklessly
Most systems don't fail because of bad code—they fail because of poor architectural decisions. Learn the architecture decisions that actually matter once your system starts serving real users.
Technical debt can silently slow teams down. Learn five practical strategies to identify, prioritize, and reduce technical debt through modernization of systems, infrastructure, and development practices.
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