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HomePostgreSQL Performance

PostgreSQL Performance

Redis 8.8 cache tier cutting time to result for distributed PostgreSQL query performance in SaaS platforms - hourglass on calendar symbolizing query latency and TTL-based caching
Database Performance

How Redis 8.8 Improves Distributed PostgreSQL Query Performance in SaaS Platforms

Redis 8.8 improves distributed PostgreSQL query performance in SaaS platforms: kvobj memory savings, INCREX rate limiting, hot-key telemetry and a measured cache-aside design.
[...]
PostgreSQL

PostgreSQL 18 Performance Internals: Optimizer and Indexing Advancements

PostgreSQL 18 performance internals deep dive: async I/O, B-tree skip scan, self-join elimination and planner rewrites — verified with real EXPLAIN output on 18.4.
[...]
PostgreSQL Replication Lag
PostgreSQL

Troubleshooting PostgreSQL Streaming Replication Lag in Production

PostgreSQL replication lag troubleshooting: measure send, flush and replay lag via pg_stat_replication, isolate the bottleneck stage, and fix it.
[...]
PostgreSQL lock contention featured image for the MinervaDB pg_locks deep dive, showing a three-step blocking chain
Database Performance

Resolving PostgreSQL Lock Contention: A pg_locks Deep Dive

PostgreSQL lock contention resolved: read pg_locks correctly, trace blocking chains, fix deadlocks, and design DDL that never queues production.
[...]
PostgreSQL Autovacuum Tuning
PostgreSQL

Diagnosing Autovacuum Lag and Table Bloat in PostgreSQL Production Systems

PostgreSQL autovacuum tuning for production: diagnose autovacuum lag, measure table bloat, fix per-table thresholds, and prevent wraparound risk.
[...]
PostgreSQL Slow Query Troubleshooting
PostgreSQL

Troubleshooting Slow PostgreSQL Queries with EXPLAIN ANALYZE and pg_stat_statements

PostgreSQL slow query troubleshooting with EXPLAIN ANALYZE and pg_stat_statements: find, diagnose, and fix slow queries in production, step by step.
[...]
PostgreSQL 18 Performance
MinervaDB

PostgreSQL 18 Performance Configuration Matrix: New Parameters and MinervaDB Tuning Recommendations

The release of PostgreSQL 18 introduces one of the most consequential rounds of configuration changes the project has shipped in years. For database engineers and site reliability teams, understanding PostgreSQL 18 performance tuning is no [...]
UPDATE LIMIT in PostgreSQL
Datatbase Systems

How to Do UPDATE … LIMIT in PostgreSQL (With Standard SQL Alternatives)

If you have ever migrated a workload from MySQL to PostgreSQL, you have probably hit a wall the first time you tried to run a statement like UPDATE mytable SET status = 'done' LIMIT 100;. [...]
PostgreSQL Rogue Indexes
Datatbase Systems

PostgreSQL Rogue Index Troubleshooting Tips and Tricks in PostgreSQL 17

If you have been managing PostgreSQL databases for any length of time, you have almost certainly run into the situation where an index that was supposed to help your queries is somehow making things worse. [...]
PostgreSQL autovacuum tuning performance optimization guide
PostgreSQL

PostgreSQL Autovacuum Tuning: Internals, Configuration, and Best Practices for High-Performance Databases

PostgreSQL autovacuum tuning is essential for maintaining high-performance production databases. PostgreSQL autovacuum is one of the most critical—and most misunderstood—background processes in any database environment. When tuned correctly, autovacuum silently keeps your tables lean, your [...]

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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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  • PostgreSQL 18 Performance Internals: Optimizer and Indexing Advancements

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