15 posts tagged with "distributed-systems"
A deep dive into MongoDB’s transaction model in WiredTiger: MVCC, snapshot isolation, update chains, and how it contrasts with lock-free hazard pointer and skip list concurrency in memory.
How MongoDB's WiredTiger storage engine achieves lock-free reads and writes using hazard pointers, skip lists, and atomic CAS operations.
Deep dive into MongoDB cache thrashing, WiredTiger memory behavior, working sets, and how poor memory locality can silently destroy database performance.
Deep dive into MongoDB write concern, journaling, oplog replication, and why acknowledged writes may still be vulnerable depending on configuration.
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.
Node.js is powerful, but not universal. Learn when it breaks down, why it happens, and how senior engineers design around its limitations.
Low CPU usage doesn’t mean your Node.js API is fast. Learn how event loop lag, downstream latency, and hidden bottlenecks degrade performance.
A deep dive into how a single blocking operation can bring down an entire Node.js system — and why most engineers underestimate this risk.
A deep dive into Node.js event loop phases, why timers are not precise, and how poll phase behavior shapes real-world performance.
Most engineers think Node.js is single-threaded. It isn’t. This misunderstanding leads to poor system design, hidden bottlenecks, and scalability failures.