MongoDB Cache Thrashing — The Silent Performance Killer
Deep dive into MongoDB cache thrashing, WiredTiger memory behavior, working sets, and how poor memory locality can silently destroy database performance.
15 posts tagged with "performance"
Deep dive into MongoDB cache thrashing, WiredTiger memory behavior, working sets, and how poor memory locality can silently destroy database performance.
A complete collection of 20 deep dives into Node.js internals, event loop mechanics, concurrency, and real-world performance scaling.
More threads should mean more performance — but in Node.js, increasing UV_THREADPOOL_SIZE can actually reduce throughput. Here's why.
Streams aren’t about files — they’re about controlling memory, handling backpressure, and keeping Node.js systems stable under load.
How fast producers overwhelm slow consumers in Node.js, and why ignoring backpressure leads to latency spikes, memory blowups, and cascading failures.
A deep dive into how Node.js, the OS kernel, and the event loop actually behave under massive concurrent load.
Worker threads can boost Node.js performance — or quietly destroy it. Learn when to use them, and when they make things worse.
A deep dive into isolation models in Node.js: when to use Worker Threads vs Child Processes, and the hidden costs that impact performance at scale.
A practical guide to diagnosing and fixing event loop lag in Node.js using flamegraphs, async tracing, and real production techniques.
How to correctly measure event loop lag in Node.js using perf_hooks, histograms, and percentile-based alerting.
Why CPU usage lies about Node.js health and how event loop lag reveals real performance bottlenecks.
Low CPU usage doesn’t mean your Node.js API is fast. Learn how event loop lag, downstream latency, and hidden bottlenecks degrade performance.
How libuv's tiny threadpool can quietly throttle your Node.js APIs — and why scaling it blindly can make things worse.
A deep dive into how a single blocking operation can bring down an entire Node.js system — and why most engineers underestimate this risk.
Most engineers think Node.js is single-threaded. It isn’t. This misunderstanding leads to poor system design, hidden bottlenecks, and scalability failures.