Database Architecture

Explore the trade-offs between database normalization and denormalization for optimal performance. Learn when to normalize for data integrity and when to denormalize for query speed.

Twelve schema design patterns that survive production scale: primary key strategy, normalization trade-offs, partitioning, sharding boundaries, and indexing rules.

Eliminate stale cache reads and thundering-herd stampedes by streaming MySQL binlog changes to Valkey via Debezium CDC. Full Java setup with embedded engine and XFetch.

Design multi-tenant databases — compare schema-per-tenant, row-level-security, and database-per-tenant approaches

Design multi-region database topologies for global latency and DR. Compares active-passive, Aurora Global Database replication, and application-level read routing patterns.

FoundationDB powers Apple iCloud and Snowflake's metadata layer with ACID transactions across distributed nodes. Learn how its ordered key-value core, layer architecture, and simulation testing deliver unmatched reliability.

Redis Streams and Kafka both handle millions of events per second, but they solve different problems. Compare latency, retention, delivery guarantees, and operational overhead to choose the right architecture.

Compare three PostgreSQL multi-tenant patterns: shared schema with RLS, schema-per-tenant, and database-per-tenant. Includes hash partitioning for shared schema at scale.

TiDB 8.0 is the most production-ready version of the distributed SQL database yet. With improved HTAP, stronger MySQL compatibility, and Resource Groups, it's compelling for teams outgrowing single-node MySQL.

OpenSearch (Apache 2.0) and Elasticsearch (EL2/SSPL) have diverged. Compare licensing, security features, AI/ML capabilities, and migration complexity for 2026.

TiDB uses Raft consensus protocol through TiKV to replicate every region across three or more nodes. Here's how leader election, log replication, and region management work in practice.

TiDB's write path crosses multiple layers — SQL parser, planner, TiKV region leader, Raft log replication, and 2PC commit — before a transaction is durable. Here's a complete walkthrough.

Compare Elasticsearch, Typesense, and Meilisearch — relevance, speed, operational complexity, and when to use each

A practical guide to choosing between read replicas and caching layers — replication lag behavior, cache invalidation strategies, thundering herd prevention, tiered read architecture patterns, and decision framework.

Compare CockroachDB, Google Spanner, and YugabyteDB — consistency models, PostgreSQL compatibility, and operational costs

Deploy Vitess for horizontal MySQL sharding — VSchema design, vtgate routing, and migration from single-instance MySQL

A production guide to Citus — distributed PostgreSQL for horizontal sharding. Hypertable setup, distribution column selection, colocation for local joins, reference tables, and Citus vs native PostgreSQL partitioning.

Analyze real-world database schema designs from companies like Netflix, Uber, and Airbnb. Learn practical patterns for e-commerce, social media, and IoT applications.

A practical guide to database sharding strategies — hash sharding, range sharding, directory-based sharding — with trade-offs, resharding complexity, and decision criteria for MySQL and PostgreSQL.

Optimize database performance by choosing the right data types and constraints. Learn about VARCHAR vs TEXT, INT sizes, ENUM optimization, and constraint best practices.

Implement zero-downtime database migrations with versioning strategies. Learn about Flyway, Liquibase, schema evolution patterns, and rollback strategies.

Master horizontal and vertical partitioning, plus database sharding strategies for handling billions of records. Learn partition pruning, shard key selection, and cross-shard query optimization.

Learn the fundamental principles of database schema design for building scalable applications. This guide covers entity relationships, primary keys, foreign keys, and normalization concepts essential for high-performance databases.