Building a Translation Pipeline for International Contract Bidding If your company bids on international contracts, you've probably dealt with the translation bottleneck. Technical proposals need precise translation, certified documents have strict formatting requirements, and procurement deadlines don't wait for anyone. After seeing how UK public procurement translation requirements can make or
Inside the five-stage pipeline from 1.1.1, there is another fork right after the parser. PostgreSQL classifies every SQL command into one of two camps. One side holds the optimizable queries, the other holds the utility commands. The classification is decided by a single field on the Query node, commandType, and from that point on the two camps travel completely different paths. One goes through t
Building Translation Pipelines for Maritime Documentation — A Developer's Guide As maritime companies scale globally, they face a technical challenge that goes beyond just translating documents. Naval documentation involves complex terminology, strict regulatory requirements, and multiple stakeholders who need access to accurate, up-to-date translations across dozens of languages. If you're buil
Why your servers should die after every deployment How many times have you logged into production to "quickly fix" something, only to create a snowflake server that behaves differently than everything else? If this sounds familiar, you're dealing with configuration drift, and immutable infrastructure might be the solution you need. Immutable infrastructure follows one simple rule: never modify a
A pod gets created. It gets an IP. Then it dies. A new pod replaces it. New IP. Now imagine you have ten pods of the same app, and they restart all the time. Which IP do you call? You can't. That's the problem Services solve, and the answer is more interesting than "Kubernetes assigns a stable IP." This post walks the full picture in five parts: why Services have to exist, what happens when you cr
Jack had finally stepped into the world of Docker. It felt like magic, but Jack was never one to just believe in "magic spells." He was curious. He wanted to look under the hood and see what actually made Docker so powerful. He had one big question: How could 50 different people live in the same "apartment building" (the Host OS) without accidentally reading each other's mail or eating each other'
Go is a compiled language — the code is converted into machine‑readable form before execution. From a beginner’s perspective, this means Go catches many errors during compilation, giving you cleaner, faster, and more predictable performance at runtime. Go is widely used for: API development CLI tools Microservices architecture Backend server. DEVOPS activity So it fits perfectly with the kind of
Why I built it I needed a PostgreSQL parser that could run inside Go tooling without CGO, external binaries, or runtime dependencies. SQL is not one grammar PostgreSQL has a lot of dialect-specific edge cases AST shape matters more than “can it parse” Error handling becomes a product feature Real-world SQL is uglier than examples No CGO, easy installation, works in CI, easy to embed in linters a