Database Engineering

Navigate the open source database landscape. Compare MySQL, PostgreSQL, MongoDB, Redis, and Cassandra with detailed feature analysis and selection criteria.

Compare Liquibase and Flyway for schema migration management — features, abstraction level, and team fit

Use Apache Airflow to orchestrate database ETL, backup jobs, and maintenance tasks — DAGs, sensors, and best practices

Implement the transactional outbox pattern to publish events reliably from MySQL or PostgreSQL without dual-write problems

Use dbt to build modular SQL transformations — models, tests, documentation, and CI/CD for your data warehouse

Compare CDC, ETL, and ELT — latency, complexity, cost, and when each pattern fits your data pipeline needs

2025 was the year databases competed on operational simplicity. Serverless databases matured, pgvector merged vector search into PostgreSQL, and CDC became standard infrastructure. Here's what mattered and what's next.

TiDB performs schema changes online without blocking reads or writes — using a distributed DDL queue across TiDB nodes. Here's how it works and how to monitor DDL jobs in production.

Teams take down production for hours with migrations that could be zero-downtime operations. Learn to use gh-ost and CREATE INDEX CONCURRENTLY, implement rollback plans, and apply the expand-contract pattern for breaking changes.

Debezium 3.0 turns your database transaction log into a real-time event stream with full before/after row images. Learn to configure CDC for PostgreSQL WAL and MySQL binlog, avoid the offset storage trap, and monitor replication lag.

Implement database CI/CD with Flyway migrations, GitHub Actions pipelines, pytest schema tests, and blue-green deployment patterns. Eliminate ad-hoc schema changes.

Execute MySQL schema migrations safely with the expand-contract pattern, batched backfills, backward-compatible changes, and migration tooling comparison (Flyway, Liquibase, gh-ost).

Monitor ETL pipelines with data freshness checks, row count reconciliation, dbt data quality tests, and Slack alerting. Detect silent failures before users do.

Operate Kafka Connect database pipelines with current JDBC and Debezium settings, protected REST access, deliberate DLQ handling, and task-level monitoring.

Use Apache Flink CDC to capture MySQL and PostgreSQL changes — stateful processing, exactly-once semantics, and Kubernetes deployment

Apply GitOps principles to database changes — PR-based schema reviews, automated migrations, and rollback strategies

A production guide to zero-downtime database migrations — why ALTER TABLE causes downtime, the Expand-Contract pattern, safe migration patterns for PostgreSQL and MySQL, and tooling with Flyway, Liquibase, pt-osc, and gh-ost.

Add data quality checks to your pipeline — row count validation, schema drift detection, and anomaly alerting with Great Expectations

UUIDs as primary keys can destroy database performance. Learn why 50M rows went from 0.5ms to 2.3ms inserts, and how to fix it with hybrid approaches.

A production guide to PostgreSQL Row Level Security — policy creation, USING vs WITH CHECK clauses, performance implications with indexes, and multi-tenant SaaS patterns with real schema examples.

Go beyond basics with Debezium — handle schema evolution, manage connector offsets, and build resilient CDC pipelines

Debezium reads MySQL binary logs and PostgreSQL WAL to stream every row-level change as a Kafka event in near real-time — replacing nightly batch ETL with sub-second data propagation.

Stream PostgreSQL changes to Kafka using pgoutput and Debezium — setup, monitoring, and lag management

Implement schema change management with versioning, peer review, and automated validation for safe deployments

Use PostgreSQL FDW to query MySQL, S3, MongoDB, and other databases from within PostgreSQL — setup and performance tips

Use Spark with JDBC to read from and write to relational databases — partition strategies, predicate pushdown, and write modes

Replicate OLTP databases to analytical warehouses — CDC, bulk load, incremental sync, and schema evolution handling

A production guide to TimescaleDB — hypertable setup, automatic chunk management, columnar compression policies, retention policies, continuous aggregates with time_bucket(), and comparison against InfluxDB and Prometheus.

Build a MySQL CDC pipeline using binlog and Kafka — Debezium, Maxwell, or Canal — trade-offs and production setup

Understand Kafka from a database perspective — partitions, offsets, consumer groups, and durability guarantees

Deep dive into advanced database indexing strategies including composite indexes, covering indexes, and partial indexes. Optimize query performance with expert indexing techniques.

Manage SQL schema migrations with Flyway — versioned and repeatable scripts, CI/CD integration, and team workflows

Deploy Airbyte to replicate data from MySQL, PostgreSQL, and MongoDB to your warehouse — connectors, scheduling, and transforms

Navigate the complex landscape of database technologies. Compare SQL vs NoSQL, OLTP vs OLAP, and learn decision frameworks for selecting the perfect database for your use case.

Discover how jemalloc, tcmalloc, and mimalloc can dramatically improve MySQL memory management. Real benchmarks showing 2-4x performance improvements and memory leak prevention.