Technical Insights & Architecture Papers
Deep-dives on high-throughput backend architecture, Python & Django performance, real-time Voice AI, and resilient database modeling.
Linux cgroups v2 & Memory Pressure Stalling: Diagnosing Kernel Thrashing and Sizing Container Limits in Production
Containers frequently suffer debilitating tail-latency spikes long before triggering OOM kills because the Linux kernel thrashes page cache allocations under pressure. Learn to interpret /proc/pressure/memory and configure memory.high in cgroups v2.
Chaos Engineering on a Shoestring Budget: Simulating Packet Loss, Disk Exhaustion, and OOM in Staging
Enterprise chaos engineering platforms carry steep licensing fees and high complexity. Learn how to construct a zero-cost resilience testing pipeline using native Linux kernel tools like Traffic Control (tc), fallocate, and stress-ng directly within Docker environments.
Self-Hosting vLLM on a Single Cloud GPU: Sub-Second Token Streaming & Continuous Batching
Proprietary LLM APIs present severe data privacy risks, rate limits, and unpredictable costs under sustained traffic. Learn how to self-host open-weights models using vLLM, PagedAttention, and continuous batching on a single cloud GPU with sub-second streaming latency.
Graceful Shutdown & Zero-Dropped Requests: Mastering SIGTERM in Docker, Nginx & Gunicorn
Rolling deployments often silently drop in-flight HTTP requests and abort active transactions during container restarts. Master POSIX signal forwarding, Nginx upstream retries, and Gunicorn graceful timeouts for true zero-downtime releases.
Benchmarking `uv`, Poetry, and Pip-Tools in Production Docker CI/CD: Sub-Second Builds & Lockfiles
Python dependency resolution in Docker CI pipelines frequently wastes minutes compiling wheels and resolving graphs. Benchmark uv against Poetry and discover multi-stage BuildKit caching strategies for sub-second builds.
The Battle-Tested Production Dockerfile for Python & Django
Why bloated 1GB+ Docker containers running as root are an operational liability, and how to structure a secure, multi-stage production image under 150MB with unprivileged execution.