Search results
27 resultsWhat is Retrieval-Augmented Generation (RAG)?
A plain-English explanation of RAG: why it beats pure LLM memory for production knowledge systems.
Choosing a vector database: pgvector vs Pinecone vs Weaviate
A practical comparison across dimensions that matter for production RAG systems.
Database Schema Migration Strategies
Expand-contract pattern, zero-downtime migrations, and tooling.
Multi-Tenancy Patterns — Database-per-Tenant, Schema-per-Tenant, and Row-Level
Tradeoffs for SaaS data isolation, compliance, and operational complexity.
Introduction to Data Pipelines
What a data pipeline is, the core stages, and when to build vs buy.
Graph Databases — When to Use Neo4j Over Relational
Nodes, edges, Cypher queries, and use cases where graph beats SQL.
SQL Query Optimisation — Indexes, Execution Plans, and N+1
Practical techniques for making slow queries fast.
Vector Embeddings — How They Work and Where They Live
From text to vectors, similarity search, and choosing the right embedding model.
Running Data Workloads on Kubernetes
Spark on K8s, Airflow on K8s, resource requests, and storage patterns.
The Twelve-Factor App — Principles for Modern Services
How the twelve factors apply to real production services today.
Time-Series Databases — InfluxDB vs TimescaleDB vs ClickHouse
Comparing purpose-built and general-purpose solutions for time-series data.
Real-Time Analytics Architecture Patterns
Lambda, Kappa, HTAP, and choosing the right pattern for sub-second analytics.
Secrets Management for Data Platforms
HashiCorp Vault, AWS Secrets Manager, and patterns for rotating credentials safely.
API Pagination — Cursor, Offset, and Keyset Patterns
When each method works, performance tradeoffs, and implementation details.
DuckDB — Blazing Fast Local Analytics
When to reach for DuckDB instead of Spark, and how to use it effectively.
Data & Platform — Service Overview
Pipelines, vector stores, governance, and privacy-first data design.
API Idempotency — Safe Retries for Mutations
Idempotency keys, implementation, and which HTTP methods are idempotent by definition.
Database Connection Pooling — Why It Matters and How to Configure It
Pool sizing, connection lifetime, and debugging pool exhaustion.
Implementing Search — From Basic SQL to Elasticsearch
Full-text search progression from LIKE queries to dedicated search engines.
Building a Data Catalog with DataHub
Ingestion, metadata, search, and making your catalog actually useful.
Database Connection Patterns in PHP
PDO, prepared statements, connection pooling, and transaction management.
API Testing Strategy — Unit, Integration, Contract, and E2E
Building a test pyramid that catches real bugs without slowing delivery.
Logging Best Practices for Production Services
Structured logging, log levels, correlation IDs, and log aggregation.
Migrating from MySQL to PostgreSQL
Schema translation, data migration, and common incompatibilities to address.
Airflow Best Practices for Production Pipelines
Idempotency, backfilling, SLA misses, and common pitfalls to avoid.
Extracting Microservices from a Monolith
The strangler fig pattern, identifying seams, and avoiding the distributed monolith.
Change Data Capture (CDC) — Debezium and Log-Based CDC
How CDC works, why it beats polling, and how to implement it with Debezium.