Kubernetes and AI have become unlikely bedfellows—and the numbers prove it. New data from CNCF and SlashData reveals that two-thirds of organizations running generative AI models have standardized on Kubernetes for orchestration. But here's the thing: it's not because Kubernetes magically solves AI problems. It's because the engineering fundamentals that make Kubernetes valuable—standardization, r
SQL is widely known for data querying and manipulation but systems do grow; data becomes larger; processes become repetitive and operations become sensitive. SQL has some features which enables it to be considered a fully fledged programming language. Some of the features which I discuss in this article are procedures, functions and transactions. Each of these concepts serve distinct purposes. Sto
Hi 👋, In this post we shall explore Bedrock's structured KB with this architecture: Upload CSVs to S3 > SNS Queue > Crawl data with Glue > Query with Redshift > Bedrock KB > Query with LLM. Let's do some of this with code. Let's get started. Clone the repo and switch to the project directory. git clone [email protected]:networkandcode/networkandcode.github.io.git cd structured-kb-demo/ Do a uv sync
Subqueries vs. CTEs in SQL: A Practical Guide to Writing Cleaner, Smarter Queries Whether you're just getting comfortable with SQL or leveling up your data skills, two tools will come up again and again when working with complex queries: subqueries and Common Table Expressions (CTEs). They solve similar problems — breaking a complex query into manageable pieces — but they do it in different ways
How Cloudflare Built Resilience: Lessons from Their Infrastructure Overhaul When a single misconfiguration can cascade across a global CDN and take down customer traffic, every deployment becomes a high-stakes decision. Cloudflare recently completed a massive push to make their infrastructure fundamentally more resilient—and their approach offers critical lessons for anyone operating at scale. M
In a previous post, I explored Codd's connection trap in PostgreSQL and MongoDB — the classic pitfall where joining two independent many-to-many relationships through a shared attribute produces spurious combinations that look like facts but aren't. The example followed Codd's 1970 suppliers–parts–projects model: we know which suppliers supply which parts, and which projects use which parts, but j
Automating Hermitage to see how transactions differ in MySQL and MariaDB
Barman – Backup and Recovery Manager for PostgreSQL