Configuring HTTP/2 in uWSGI: Performance Trade-offs and Implementation
Learn when to enable HTTP/2 in uWSGI, how to handle TLS requirements, and how to validate multiplexing to reduce head-of-line blocking in your Python applications.
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Using uWSGI Emperor Mode to Manage Multiple Vassal Apps with Zero‑Downtime Reloads
Learn how uWSGI Emperor mode watches a directory of vassal configs to spawn, reload, and isolate multiple WSGI apps with zero‑downtime updates.
Optimizing Memory for Multi-App Deployments with uWSGI lazy-apps
Learn how to use uWSGI's lazy-apps feature to reduce memory overhead in multi-app deployments by postponing application loading until the first request arrives.
pythonScale uWSGI workers down at idle with cheaper for a Python WSGI deployment
Use uWSGI's cheaper subsystem to scale Python WSGI workers between a minimum and maximum. Configure master mode, workers, cheaper, cheaper-initial and cheaper-algo, then verify idle reduction and load scaling with logs or the stats server.
Taming Memory Bloat with uWSGI Cheaper Subsystem
Learn how to use uWSGI's 'cheaper' subsystem to dynamically scale worker processes, reducing memory usage during idle periods while maintaining performance during traffic spikes.
uWSGI Spooler: Built-in Background Jobs Without Extra Infrastructure
uWSGI's Spooler provides a file-based, at-least-once background job queue with zero external dependencies. Learn how to configure it, monitor queue depth, and handle failure modes.
Diagnosing uWSGI Worker Recycling and Memory Issues: A Practical Guide
A step‑by‑step guide to diagnose uWSGI worker recycling, memory‑related reloads, harakiri timeouts, and graceful‑reload mercy issues using logs, stats, and cgroup limits.
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.
Configure 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.