Database Capacity Planning: A Practical Guide
Plan for growth before you hit walls. This guide covers growth forecasting, compute and storage sizing, IOPS requirements, and cloud vs on-prem decisions.
Plan for growth before you hit walls. This guide covers growth forecasting, compute and storage sizing, IOPS requirements, and cloud vs on-prem decisions.
Cassandra and HBase data storage explained. Learn partition key design, column families, time-series modeling, and consistency tradeoffs.
Learn connection pool sizing, HikariCP, pgBouncer, and ProxySQL, timeout settings, idle management, and when pooling helps or hurts performance.
A guide to CHECK, UNIQUE, NOT NULL, and exclusion constraints. Learn database vs application-level enforcement and performance implications.
Separate read and write models. Command vs query models, eventual consistency implications, event sourcing integration, and when CQRS makes sense.
Learn static and dynamic data masking: nulling, shuffling, hashing, and range techniques. Understand GDPR and PII considerations for PostgreSQL and Oracle.
OLAP vs OLTP comparison. Star and snowflake schemas, fact and dimension tables, slowly changing dimensions, and columnar storage in data warehouses.
Learn zero-downtime migration patterns, including expand-contract deployments, backward-compatible changes, rollback planning, and tools for safe releases.
Keep your PostgreSQL database healthy with comprehensive monitoring. This guide covers query latency, connection usage, disk I/O, cache hit ratios, and alerting with pg_stat_statements and Prometheus.
When to intentionally duplicate data for read performance. Tradeoffs with normalization, update anomalies, and application-level denormalization strategies.