Scale a Node.js API on One Machine with Cluster
Use Node.js Cluster to distribute traffic across CPU cores on a single server without external load balancers.
Loading…
ReadMeFeed / Community knowledge
#scaling
Real questions. Useful conversations. Find the people who know your stack.
nodejsDeploying OpenStack Nova Cells v2 for Multi‑Cell Compute Scaling
Guide to deploying OpenStack Nova Cells v2 for multi‑cell compute scaling, including prerequisites, cell creation, service mapping, validation steps, and recovery options.
openstackArchitecting Discord.js Gateway Sharding for High-Guild Scaling
Learn how to implement Discord.js ShardingManager to scale bots across multiple CPU cores, manage distributed state with Redis, and avoid common memory isolation pitfalls.
discordjsUsing Memcached Consistent Hashing to Avoid Cache Stampede When Scaling
Learn how Memcached clients using consistent hashing limit key movement during cluster scaling, reducing cache miss storms and keeping traffic stable.
memcachedScaling Node.js with PM2 Cluster Mode for Multi-Core Utilization
Learn how to scale Node.js applications using PM2 Cluster Mode to utilize multi-core CPUs, enable zero-downtime reloads, and manage stateless scaling via an ecosystem config.
pm2PM2 Cluster Mode Architecture: Scaling Node.js Beyond a Single Thread
PM2 Cluster Mode lets Node.js use all CPU cores by forking workers that share a port. This architecture note covers the minimal design, data boundaries, operational checks, failure modes, and when to move beyond it.
Right-Sizing Your Python App with uWSGI Cheaper
Stop wasting RAM on idle Python workers. Learn how to use uWSGI's 'cheaper' subsystem and the busyness algorithm to dynamically scale your application processes based on real-time load.
python
uwsgiDiagnosing Intermittent 5xx Errors and Latency Spikes in Google Cloud Run
A step‑by‑step diagnostic guide for intermittent 5xx errors and latency spikes in Google Cloud Run, with checks, fixes, and escalation criteria.
cloudrunConfigure uWSGI's Cheaper Subsystem for Dynamic Worker Scaling
A practical guide to configuring uWSGI's cheaper subsystem for dynamic worker scaling in Python WSGI applications, covering prerequisites, algorithm selection, tuning parameters, verification steps, and recovery from common misconfigurations.