Mathias Paulenko
Software Engineer & Founder of StackPractices
Mathias Paulenko
Software Engineer
Software engineer with 12+ years of experience building production systems across Python, JavaScript, React, and DevOps. I have contributed to enterprise projects spanning CI/CD pipelines, API design, cloud infrastructure, and full-stack development.
StackPractices is my personal project, born from a simple belief: great documentation should be copy-paste ready. Every recipe, pattern, and guide on this site is designed to save you time and help you ship faster.
Published Works (1032)
Value Object Pattern
Model domain concepts by value rather than identity. An immutable object defined by its attributes,...
CQRS + Event Sourcing — Combined Guide
A practical guide to combining CQRS and Event Sourcing: separating read and write models,...
Data Lake vs Data Warehouse — Architecture Guide
A practical guide to Data Lake architecture: structured vs unstructured storage, lakehouse...
Data Mesh Architecture — Decentralized Data Ownership
A practical guide to Data Mesh: decentralizing data ownership to domain teams, treating data as a...
Lakehouse Architecture — The Best of Both Worlds
A practical guide to Lakehouse architecture: combining data lake storage flexibility with data...
Layered Architecture — N-Tier Explained
A practical guide to Layered (N-Tier) Architecture: separating presentation, business logic, and...
Serverless Architecture — Patterns and Anti-Patterns
A practical guide to serverless architecture: function design, cold starts, event-driven patterns,...
Blob Storage: S3, GCS, and Azure Blob Patterns for Engineers
A practical guide to cloud blob storage: bucket design, access control, lifecycle policies,...
Caching Strategies: From Browser to Database, a Complete
A practical guide to caching strategies: browser caching, CDN edge caching, application caching...
Connection Pooling: Optimize Database Connections for Scale
A practical guide to database connection pooling: sizing pools, handling idle timeouts, detecting...
Data Migration: Zero-Downtime Strategies That Work
A practical guide to data migration: planning, dual-write patterns, backfill strategies, schema...
Database Sharding: Horizontal Partitioning in Practice
A practical guide to database sharding: choosing shard keys, routing queries, rebalancing data, and...
ETL Pipelines: Extract, Transform, Load for Data Engineers
A practical guide to ETL pipelines: extracting data from multiple sources, transforming with...
Full-Text Search — Implement Search That Actually Works
A practical guide to full-text search: PostgreSQL tsvector, Elasticsearch indexing, query design,...
Read Replicas: Scale Reads Without Changing Application
A practical guide to read replicas: setting up replication, routing read queries, handling...
Real-Time Analytics: From Events to Dashboards in Seconds
A practical guide to real-time analytics: event collection, stream processing, data warehousing,...
Stream Processing: Event-Driven Data Pipelines with
A practical guide to stream processing: choosing between Kafka Streams, Flink, and Spark Streaming,...
Database Denormalization
A practical guide to database denormalization: when to trade storage for read performance, common...
Graph Databases — Neo4j and Property Graph Modeling
A practical guide to graph databases: property graph model, Cypher query language, modeling...
NoSQL Data Modeling Patterns
A practical guide to NoSQL data modeling: embedding vs referencing, access pattern-driven design,...
Time-Series Databases — InfluxDB, TimescaleDB
A practical guide to time-series databases: when to use a specialized TSDB, data model, retention...
Vector Databases — AI/ML Embeddings and Similarity Search
A practical guide to vector databases: embeddings, similarity search, approximate nearest...
A/B Testing: Experimentation Frameworks for Data-Driven
A practical guide to A/B testing: experiment design, statistical significance, sample sizing,...
Blue-Green Deployment Guide
A practical guide to blue-green deployments: architecture, traffic switching strategies, database...