17 posts · page 1 of 1
Choose the right pagination strategy for your REST API. Compare offset, cursor, and keyset pagination with real examples, HATEOAS links, and performance trade-offs.
Learn how to manage database schema changes with migration tools like Alembic, Flyway, and Knex. Covers rollback strategies, zero-downtime migrations, and team workflows.
Learn DynamoDB single-table design patterns, composite keys, GSIs, and data modeling strategies to build efficient NoSQL applications on AWS.
Master Go database patterns using sqlx and pgx for PostgreSQL including connection pooling, transactions, batch operations, and repository design.
Compare MongoDB and PostgreSQL across data modeling, performance, scalability, and use cases. Choose the right database for your project.
Compare PostgreSQL, MySQL, and SQLite on features, performance, scalability, and use cases. Find the best relational database for your project in 2026.
Understand why database connection pooling matters and how to configure it. Covers pool sizing, PgBouncer, application-level pools, and common misconfigurations.
Learn database migration patterns that avoid downtime. Covers expand-contract, backfill strategies, backward-compatible schema changes, and rollback techniques.
Eliminate N+1 queries in Django with select_related, prefetch_related, Prefetch objects, annotations, and query profiling tools.
Set up async SQLAlchemy 2.0 with FastAPI for non-blocking database operations using asyncpg, async sessions, and proper patterns.
Compare range, hash, and directory-based sharding strategies, with guidance on choosing shard keys and operating sharded systems.
Compare soft and hard deletes across recovery, compliance, indexing, and query complexity to pick the right deletion strategy.
Use Go's standard database/sql package the right way: drivers, connection pools, prepared statements, transactions, context cancellation, and avoiding the classic Rows.Close leak.
Connect to relational databases from Java using JDBC: drivers, PreparedStatement, transactions, connection pooling, and resource management.
Learn Spring Data JPA from the ground up. Understand repositories, derived queries, JPQL, pagination, and transaction boundaries in real Java apps.
Model MongoDB data in Node.js with Mongoose, covering schemas, validation, queries, population, and indexes for production apps.
A grounded comparison of Postgres and MySQL across data types, transactions, replication, JSON, and ecosystem - so you can pick the right one for your project.