Performance Articles, Guides & Best Practices

Expensive SQL on Exadata 26.1: Read the Offload Numbers Before You Build the Index

The Exadata ticket we see most often is not about a slow query. It is about a cluster that runs hot for hours, an IORM plan that somebody keeps re-tuning, and a licence conversation about [...]

SQL Server 2025 Expensive Queries: 7 Proven Ways to Find and Fix Them by Latency and Resource Cost

"Expensive queries" is a phrase that hides two different problems. One is response time: a statement the application waits too long for. The other is resource efficiency: a statement that burns CPU, logical reads and [...]

Db2 13 for z/OS Index Efficiency: 8 Proven Troubleshooting Techniques

Most index efficiency problems on Db2 13 for z/OS are not I/O problems. They are CPU problems that look like I/O problems from a distance. Index efficiency is measured in getpages, and a four-level index [...]

btree_gist improvements in PostgreSQL 18

The btree_gist improvements in PostgreSQL 18 are one of the most practical performance wins shipping in this release for teams that depend on exclusion constraints, composite indexes, and nearest-neighbour search. The btree_gist extension lives in [...]

Top 10 Trino Performance Anti-Patterns to Avoid in Production

Trino Performance Anti-Patterns are among the most critical challenges facing data engineers running Trino (formerly PrestoSQL) — the powerful distributed SQL query engine designed for fast analytic queries against data of any size. Even experienced [...]

Tuning MariaDB for Cloud and Containerized Environments

A practical guide to tuning MariaDB for cloud and containerized environments — right-sizing the InnoDB buffer pool, handling cgroup limits in Docker and Kubernetes, taming ephemeral storage and network latency, and building stateful, observable database workloads.

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MySQL Resource Quotas, Throttling, and Fair-Share Scheduling: A Practical Guide

A practical, production-focused guide to MySQL resource quotas, throttling, and fair-share scheduling — using Resource Groups, MAX_USER_CONNECTIONS, MAX_EXECUTION_TIME, and ProxySQL to protect performance under noisy-neighbor and multi-tenant workloads.

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