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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 [...]

Valkey 9.1 Performance: What Changed Inside the Engine and How to Measure It

Valkey 9.1 performance work is the reason the 9.1 line exists. The 9.1.0 release (2026-05-19) reworked the I/O threading queues, doubled the embedded-string threshold, turned the processor clock on by default, embedded sorted-set elements in […]

MongoDB Performance Troubleshooting: 7 Proven Fixes for 8.3

MongoDB performance troubleshooting changed materially with MongoDB 8.3 (GA 2026-05-04, current patch 8.3.8): the Cost-Based Ranker (CBR) is now part of the default plan-selection mechanism, query memory is finally a first-class measurable quantity, and slow [...]

Optimizing Redis for Mixed Read/Write Workloads

Optimizing Redis for mixed read/write workloads is one of the most critical challenges in modern high-performance system design. Redis is widely used as an in-memory data store for its exceptional speed, but production environments rarely [...]

Datadog PostgreSQL Observability

Practical Datadog PostgreSQL guide with working SQL examples, EXPLAIN ANALYZE walkthroughs, configuration tips, and production guardrails for PostgreSQL cl.

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PostgreSQL Checkpoint Tuning: Eliminating I/O Spikes and Recovery Risk

Default PostgreSQL checkpoint settings create latency spikes, inflate WAL volume, and put crash recovery at risk. This MinervaDB guide walks through every parameter, the new pg_stat_checkpointer view, and reference configurations for OLTP, write-heavy, and analytical workloads on PostgreSQL 16 and 17.

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PostgreSQL RPO RTO Planning

Production-ready PostgreSQL rpo rto playbook covering PostgreSQL diagnostics, parameter tuning, validation workflows, and monitoring that keep clusters fas.

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PostgreSQL Anomaly Detection with AI

Practical PostgreSQL anomaly detection guide with working SQL examples, EXPLAIN ANALYZE walkthroughs, configuration tips, and production guardrails for Pos.

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* Everything changes over time – Our blogs/posts and comments changes over time, That’s how it should be! Whatever we comment from MinervaDB Inc. Teams (including Shiv Iyer) and other stakeholders or guest bloggers posted here are never permanent, These things worked for us. But, there is no guarantee they will work for you too, When using the recommendations from ChistaDATA or MinervaDB or MinervaSQL or any other online resources / Google, You must test the advice before applying them to your production systems, and always invest for a robust Database DR solution, Thank you for understanding.

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