Technical Insights & Architecture Papers

Deep-dives on high-throughput backend architecture, Python & Django performance, real-time Voice AI, and resilient database modeling.

/
Clear
Active Topic: #Performance
Clear Topic

SQLite in High-Concurrency Server Production: WAL2 Mode, Memory-Mapped I/O (mmap), and 15,000+ Reads/Sec on the Edge

Dismissed as an embedded toy, modern SQLite can power blazing-fast edge backends and microservices. Discover WAL2 checkpoints, mmap_size, PRAGMA connection pooling, and multi-reader concurrency patterns.

Read Publication devManue

Linux Kernel Dirty Page Writeback & I/O Stalls: Tuning vm.dirty_ratio for Heavy PostgreSQL WAL and Logging Workloads

When Linux page caches fill up during heavy write spikes, synchronous flush stalls freeze database transactions. Understand kernel pdflush/flusher threads, dirty_ratio, dirty_background_ratio, and NVMe tuning.

Read Publication devManue

PostgreSQL TOAST Internals & Large JSONB Bloat: Eliminating Compression Overhead and Out-of-Line Storage Traps

High-volume JSONB and text columns trigger PostgreSQL TOAST tables, silently degrading read throughput and inflating disk I/O. Master storage strategies, LZ4 vs pglz compression, and out-of-line detoasting tuning.

Read Publication devManue

Free-Threaded CPython (No-GIL / PEP 703) in Production: Architecture, Mimalloc Internals & True Multi-Core Python Scaling

Explore PEP 703's removal of the Global Interpreter Lock in Python 3.13+. Unpack mimalloc thread-local heaps, biased reference counting, immortal objects, and real-world multi-threaded CPU scaling in production.

Read Publication devManue

Linux io_uring vs. Epoll: Achieving True Asynchronous Storage and Network I/O in Modern Backend Systems

While epoll revolutionized network concurrency, it fundamentally fails on disk storage and incurs heavy syscall context-switch overhead. Explore how Linux's io_uring ring-buffer architecture achieves zero-syscall asynchronous I/O.

Read Publication devManue

PostgreSQL Query Planner Internals: Calibrating Cost Factors, Work Memory, and SSD Random Page Penalties

Default PostgreSQL configuration parameters were calibrated decades ago for spinning magnetic hard disks. Learn how the cost-based optimizer calculates query plans and how to tune random_page_cost and work_mem for modern NVMe SSD storage.

Read Publication devManue
← Newer Page 2 of 12 Older →

Want Technical Consulting or Architecture Reviews?

We collaborate with engineering teams to audit database performance, optimize Python/Django ASGI architectures, and design real-time AI pipelines.

Chat on WhatsApp