Deep dive into deploying a production ML forecasting system processing 542,000 rows/second with real-time regime detection, async service architecture, and comprehensive health monitoring.
topic:machine-learningtopic:trading-financetopic:system-optimizationlang:pythonseries:atlasseries:ml-deploymenttype:case-studylevel:advanced
Deep dive into optimizing a production trading system's database initialization from 6.6 seconds to 8.2ms, unblocking 37 critical features and restoring real-time trading capability.
topic:database-performancetopic:system-optimizationtopic:trading-financelang:pythondb:duckdbseries:atlasseries:database-optimizationtype:case-studylevel:advanced
Complete technical reference for deploying machine learning models to production, covering serving architectures, containerization, lifecycle management, performance optimization, and operational monitoring.
topic:machine-learningtopic:devopslang:pythonframework:dockerframework:kubernetesseries:ml-deploymenttype:reference-guidelevel:intermediate
Comprehensive reference for optimizing database performance in production systems, covering SQLite configuration, schema design, indexing strategies, transaction management, and monitoring.
topic:database-performancetopic:system-optimizationlang:pythonlang:sqldb:sqlitedb:postgresqlseries:database-optimizationtype:reference-guidelevel:intermediate
Comprehensive reference for database optimization techniques, from predicate pushdown to result caching. Includes performance impact tables and code examples.
topic:database-performancetopic:system-optimizationlang:rusttype:reference-guidelevel:advanced
How a custom Rust query engine replaced DuckDB and achieved 10.4x speedup through predicate pushdown. Covers 5 optimization iterations with real metrics.
topic:database-performancetopic:system-optimizationlang:rusttype:case-studylevel:advanced
Learn how to create stunning data visualizations inspired by iconic films using the Cinestyle library. From Film Noir to Star Wars, transform your matplotlib charts into cinematic masterpieces.
topic:data-visualizationlang:pythontool:matplotlibtool:pandastype:tutoriallevel:beginner
How I built an AI-powered data pipeline that extracts 296 businesses from Chamber of Commerce directories in 9 minutes, achieving 100% name/phone capture using local LLMs and intelligent web scraping.
topic:data-engineeringtopic:automationtopic:nlplang:pythontype:case-studylevel:intermediate
Learn how to optimize your Mac's performance through strategic process prioritization, including practical techniques with command-line tools and best practices for resource management.
topic:system-optimizationtype:tutoriallevel:beginner