I needed to coordinate background scripts running across different machines. The obvious answer was Redis. Everyone uses Redis for this. The tutorials all use Redis. The Stack Overflow answers all say "just use Redis." So I looked at what deploying Redis would actually cost me: A running Redis server I had to maintain A broker to connect workers to it Celery or RQ on top of that Memory-based stora
Introduction Some code works. Some code lasts. The difference rarely comes down to typing speed, syntax mastery, or how many nights you're willing to push through. It comes down to how you think about a problem before you write a single line. Big-O notation is a mathematical framework that describes how an algorithm performs as its input grows. In plain terms, it answers one question:
State of Software Engineering in 2026: A Reality Check Beyond the AI Hype Three and a half years ago, Matt Welsh, PhD and former Google engineer, published "The End of Programming" in Communications of the ACM and declared that classical computer science was over. The meteor had hit. Engineers were the dinosaurs. The state of software engineering in 2026, he implied, would look nothing like what
Most developers spend years improving at writing code. Fewer spend the same effort improving how they think when code breaks. Yet in real-world software engineering, debugging is not a side skill — it is the job most of the time. At some point, every developer realizes a simple truth: production systems don’t fail in clean, obvious ways. They fail in messy chains of small assumptions breaking down
Benchmark CI/CD in Docker 25 vs Cilium: What You Need to Know Modern CI/CD pipelines demand high performance, low latency, and reliable networking. Two technologies often at the center of containerized workflow discussions are Docker 25 (the latest major release of the ubiquitous container runtime) and Cilium (the eBPF-powered CNI plugin for Kubernetes). While they operate at different layers of
In August 2025, a user reported that Apache Kafka v3.9.0 dropped consumer throughput by 10x. Other users reproduced it. The culprit was a configuration called min.insync.replicas, and the fix was three lines of code. Sharad Garg opened a ticket titled "Consumer throughput drops by 10 times with Kafka v3.9.0 in ZK mode." Ritvik Gupta ran controlled tests and traced the issue to min.insync.replicas.
My Hugo blog was downloading 3.6 MB of JavaScript and 40 KB of external CSS on every page load. For a static blog with mostly text and a few diagrams, that was absurd. Here is how I fixed it. HTML: 86 KB JavaScript: 3.6 MB (Mermaid + KaTeX) CSS: 40 KB (KaTeX stylesheets) Problem: render-blocking scripts loaded on every page for math and diagrams Adding minifyOutput = true to hugo.toml shrunk HTML
Traditional search engines match keywords. If you search for "dog shelters around Gurgaon" and the indexed page says "animal shelters near Delhi," you get no results. The words do not overlap. Semantic search fixes this by converting text into vectors. Similar ideas end up close together in vector space, even when the words differ. An embedding model takes a word or sentence and produces a high-di