MirahLabs Engineering Blog
Technical insights, tutorials, and architectures written by our design and backend engineers.
PostgreSQL Full-Text Search: FTS vs pgvector vs Elasticsearch
Full-text search can be implemented several ways in a PostgreSQL-based stack. Compare native FTS, vector semantic search with pgvector, and Elasticsearch for your search requirements.
Python Memory Management: Reference Counting and Generational Garbage Collection
Deep dive into CPython's memory management model: reference counting, memory allocation arenas, and how generational garbage collection resolves cyclic references.
SQLAlchemy 2.0: The Complete Migration Guide
SQLAlchemy 2.0 introduces a new style API, async-first design, and significant performance improvements. Learn what changed and how to migrate your Flask applications.
PostgreSQL Performance Tuning: Indexes, Query Plans, and Connection Pooling
PostgreSQL is incredibly powerful but requires thoughtful configuration for high-traffic production workloads. This guide covers index strategies, query plan analysis with EXPLAIN, and PgBouncer connection pooling.
Python Type Hints and Pydantic: Building Safer, Self-Documenting APIs
Type hints transform Python from a dynamic free-for-all into a structured, IDE-friendly language. Pydantic adds runtime validation. Together they make your APIs safer and self-documenting.
Celery and Redis: Background Job Processing at Scale
Background tasks are essential for responsive web applications. Learn how to design reliable Celery task queues with Redis, handle retries, monitor with Flower, and avoid common pitfalls.