Running Multiple Apps on One Host with uWSGI Emperor Mode
A practical walk‑through of uWSGI Emperor mode: set up a master process, add vassal configs, watch live reloads, and avoid common pitfalls.
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uwsgiManaging Signal Dispositions Across Fork and Exec
Learn how signal dispositions are inherited during fork() and reset during exec(), and how to use SIG_IGN to preserve process behavior across binary replacements.
unix
Diagnosing and Resolving Zombie (Defunct) Processes in Linux
Zombie processes occupy the system process table without using CPU or RAM, risking PID exhaustion. This guide explains how to trace defunct processes to their parents and clear them.
Optimizing Python Memory with uWSGI Cheaper Subsystem
Learn how to use the uWSGI Cheaper subsystem to dynamically scale Python worker processes, reducing memory overhead without sacrificing performance during traffic spikes.
pythonManaging Dynamic Application Lifecycles with uWSGI Emperor Mode
Learn how to use uWSGI Emperor mode to dynamically manage multiple Python applications, implement privilege separation, and monitor worker health using stats sockets.
Does pm2 provide native mechanisms to prevent duplicate writes during restart loops?
PM2 manages process lifecycles by automatically restarting applications that exit with non-zero codes. While features like exp-backoff-restart-delay and max_restarts control the frequency and limit of these attempts, the process manager operates independently of the application's internal state. When a process crashes during a write operation, PM2 triggers a
pm2
nodejskraken-cli deployment automation vs PM2 process management for production health monitoring
Goal is to deploy a KrakenJS application to production while preserving its configuration-driven environment isolation and strict folder structure loading. KrakenJS provides a built-in CLI for scaffolding and deployment that automates production-ready configurations. An alternative is manual process management with an external process manager for granular he
krakenjsPM2 Zero‑Instance Scaling: Auto‑Stop Timeout Configuration
Goal Reduce hosting costs by allowing a Node.js application managed by PM2 to automatically stop all instances when traffic drops to zero. Current Constraint PM2 lacks a built‑in mechanism to trigger a stop after a configurable period of inactivity. Users must rely on external scripts that monitor request rates and invoke pm2 stop or pm2 delete . Uncertainty
uWSGI cheaper subsystem: balancing memory overhead and cold start latency
In environments with low-traffic workloads, reducing the memory footprint of uWSGI is a priority. The cheaper subsystem allows the server to scale down the number of worker processes when demand is low, rather than maintaining a static pre-fork model defined by the processes directive. While the busyness algorithm provides a mechanism for dynamic scaling, th