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)
Multiton Pattern
Manage a map of named singleton instances, providing controlled access to a finite set of shared...
Null Object Pattern
Use a default object instead of null references to eliminate null checks and simplify client code....
Object Pool Pattern
Reuse expensive objects instead of creating and destroying them repeatedly. A creational pattern...
Outbox Pattern
Reliably publish domain events by persisting them in an outbox table within the same database...
Page Controller Pattern
Use a dedicated controller object for each logical page in a web application, handling the request...
Plugin Pattern
Enable third-party extensions by defining extension points in a host system that loads and executes...
Registry Pattern
Centralize access to shared services and objects via a lookup table. A structural pattern that...
Role Pattern
Assign dynamic roles to objects at runtime instead of hard-coding behavior in class hierarchies,...
Specification Pattern
Encapsulate business rules for selecting objects as reusable, composable predicate objects that can...
Type Object Pattern
Define game object types as runtime data rather than hard-coding them as classes, enabling...
Unit of Work Pattern
Track changes to in-memory objects during a business transaction and commit all updates atomically...
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...