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)
Complete Guide to Serverless Architecture
Decide when to go serverless and when not to. Covers FaaS patterns, event-driven design, cold starts, cost models, vendor lock-in, and...
Complete Guide to Serverless Databases
Choose and operate serverless databases for event-driven applications. Covers DynamoDB, Aurora Serverless, FaunaDB, and PlanetScale with...
API Rate Limiting
Protect APIs from abuse and ensure fair resource usage with token bucket, sliding window, and leaky bucket rate limiting.
Cache Database Query Results with Redis and Python
Cache expensive database query results in Redis with cache-aside pattern, TTL management, and invalidation on writes for Python...
Configure Caffeine Cache in Java with Eviction Policies
Set up Caffeine cache in a Java application with size-based, time-based, and weighted eviction policies for high-performance local caching.
Use Spring Cache Annotations with Redis Backend
Apply Spring's @Cacheable, @CachePut, and @CacheEvict annotations with a Redis cache manager for declarative caching in Java applications.
Cache HTTP Responses with Nginx Reverse Proxy
Configure Nginx as a caching reverse proxy to cache upstream HTTP responses with TTL zones, cache keys, and conditional purging.
Implement Redis Cache Invalidation in Node.js
Invalidate Redis cache entries in Node.js with TTL expiry, explicit deletion, pattern-based clearing, and pub/sub-based distributed...
Cache Database Queries with Django Cache Framework
Use Django's built-in cache framework with per-view caching, template fragment caching, and low-level cache API for database query...
Cache HTTP Responses with httpx and CacheControl in Python
Cache HTTP responses in Python using httpx with CacheControl for HTTP-compliant caching, ETag handling, and conditional requests.
Store User Sessions in Memcached with Python
Use Memcached as a distributed session store in Python web applications with pymemcache, TTL management, and failover handling.
Build Async Pipelines with C# async/await and Task.Run
Build async pipelines in C# using async/await, Task.Run, Task.WhenAll, Task.WhenAny, CancellationTokenSource, Channels, and...
Concurrent Patterns with Go Goroutines and Channels
Build concurrent systems in Go using goroutines, channels, select statements, worker pools, fan-out/fan-in, pipelines, context...
Compose Asynchronous Pipelines with Java CompletableFuture
Build non-blocking async pipelines in Java using CompletableFuture with thenCompose, thenCombine, allOf, anyOf, exception handling,...
Scale Concurrent Applications with Java Virtual Threads
Scale Java applications with virtual threads from Project Loom. Use Thread.ofVirtual, Executors.newVirtualThreadPerTaskExecutor, structured...
Concurrent Async Tasks with asyncio.gather and Task Groups
Execute multiple async operations concurrently in Python using asyncio.gather, asyncio.TaskGroup, error handling with return_exceptions,...
Rate Limit Async Operations with asyncio.Semaphore
Control concurrency in async Python using asyncio.Semaphore for rate limiting API calls, database connections, and resource access with...
Parallelize CPU and I/O Work with ThreadPoolExecutor
Use Python's ThreadPoolExecutor for parallel I/O operations, thread-safe result collection, Future callbacks, error handling, and mixing...
Build Async Systems with Rust Tokio Runtime
Build async systems in Rust using the Tokio runtime with tasks, channels, select, synchronization primitives, graceful shutdown, and...
Database Connection Pooling
Configure and tune database connection pools to maximize throughput while preventing connection exhaustion.
Implement Event Sourcing with CQRS in Python
Build an event-sourced system with CQRS separation using Python, event store persistence, projection rebuilds, snapshots, and idempotent...
Kafka Consumer Groups with Python for Scalable Streaming
Create Kafka consumer groups in Python with partition assignment, offset management, commit strategies, rebalance handling, and...
Consume Kafka Topics with Spring Boot Stream Listeners
Build Kafka consumers in Spring Boot using @KafkaListener annotations, concurrent consumers, error handlers, DLQ patterns, and batch...
Implement the Transactional Outbox Pattern for Reliable
Use the transactional outbox pattern to reliably publish domain events alongside database changes, with a relay processor, polling...