You've likely heard that "Data is the new oil". But raw oil is useless without a refinery. In the world of Big Data, Apache Spark is that refinery. Whether it's millisecond-level fraud detection or processing terabytes of logs, Spark's ability to handle massive scale with in-memory speed is why it remains a core skill for every ML & Data Engineer. Here are 5 real-world problems and exactly how Spa
TL;DR. golang.org/x/net/idna.Lookup.ToASCII runs UTS-46 NFKC mapping 0-9. A pre-IDNA net.ParseIP check rejects the NO_PROXY lists, TLS-SNI routers, and cookie-domain validators that TrimRight + ParseAddr golang.org/x/net/http/httpproxy, the canonical safe pattern, and two I ran into this one while writing a Go HTTP client for a private project. I idna.Lookup.ToASCII canonicalising the host The sha
Some time ago, I was building a chat application using AWS Websocket API gateway. Things were going smoothly. I created a WebSocket API Gateway, added $connect, $disconnect, and sendMessage/addGroup routes. From the frontend (React) side, everything was fire-and-forget. You send a message, and the onMessageHandler takes care of it 💪🏼 But then a new requirement of uploading files using S3 signed