MySQL Consulting - MySQL Support - MySQL Remote DBA - PostgreSQL Consulting - PostgreSQL Support - PostgreSQL Remote DBA

Minimizing Performance Impact: Best Practices for PostgreSQL Tracing and Monitoring

When tracing or monitoring tools are enabled in PostgreSQL, it can introduce some overhead and potentially slow down database performance. This is because tracing mechanisms such as logging, detailed monitoring, or execution profiling require additional […]

Execution Plan Cache: Optimizing PostgreSQL Performance

PostgreSQL uses a sophisticated query planner and optimizer to determine the most efficient way to execute a query. One of the mechanisms PostgreSQL uses to improve performance is caching execution plans. This process involves reusing […]

Optimizing PostgreSQL Performance: Understanding and Managing Linux Page Types for Efficient Disk I/O

Detailed Explanation of Linux Page Types and Their Influence on Disk I/O Performance in PostgreSQL Applications In Linux, memory management involves various types of pages, which are fundamental units of memory used by the operating […]

PostgreSQL Outer Joins: Optimizing with Aggregation (Best Practices)

Performing optimal outer joins in PostgreSQL while doing aggregation involves understanding both the logical and performance aspects of SQL queries. Here are some best practices and examples to help you achieve this: Best Practices for […]

Implementing a Custom date_bucket() Function in PostgreSQL for Timestamp Bucketing

PostgreSQL date_bucket Function The date_bucket() function in PostgreSQL is a powerful tool for time series analysis. It allows you to group timestamps into fixed-size intervals, often referred to as “buckets.” This grouping is useful for […]

eBPF for PostgreSQL Contention: Monitoring Locks, CPU, and I/O Performance

PostgreSQL Performance Troubleshooting Whitepaper – Using eBPF to Troubleshoot Process Contention in PostgreSQL To use eBPF for troubleshooting process contention in PostgreSQL, we focus on understanding how processes interact with each other, particularly in terms […]

Understanding Parsing and Binding in PostgreSQL’s Query Processing Pipeline

In PostgreSQL, the process of parsing and binding is a critical part of the SQL query processing that occurs before the optimizer comes into play. This phase ensures that the SQL statements are correctly interpreted, […]

Index Selection in PostgreSQL: How the Query Planner Optimizes Performance

In PostgreSQL, the mechanism of index selection is a crucial component of the query planner, which evaluates various possible execution plans to determine the most efficient way to execute a given query. Index selection involves […]

Hyperbolic Principle for PostgreSQL Performance Troubleshooting: Queueing Theory and Resource Management

Hyperbolic Principle for PostgreSQL Understanding Hyperbolic Principle for PostgreSQL and its relation to queuing theory can provide valuable insights when troubleshooting performance issues in PostgreSQL, especially those related to concurrency and resource contention. The hyperbola, […]

Integrating Conflict-Free Replicated Data Types (CRDTs) with PostgreSQL for Distributed Systems

Conflict-Free Replicated Data Types (CRDTs) are sophisticated data structures that enable distributed databases to achieve high availability and strong eventual consistency. They operate without the need for complex conflict resolution, making them ideal for distributed […]

* 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.

Discounts are applicable only for multi-year contracts / long-term engagements, We don’t hire low-quality and cheap rookie consultants to manage your mission-critical Database Systems Infrastructure Operations and so our consulting rates are competitive. Being a virtual corporation (no physical offices anywhere in the world), whatever you pay go directly to our consultant’s fee. It’s impossible for us to offer you low-cost consulting, support and remote DBA services with elite-class team, Thanks for understanding and doing business with MinervaDB.

PostgreSQL is a registered trademark of the PostgreSQL Community Association. ClickHouse is a registered trademark of ClickHouse, Inc. MongoDB is a registered trademark of MongoDB, Inc. Couchbase is a registered trademark of Couchbase, Inc. Redis is a registered trademark of Redis Ltd. Apache Cassandra is a registered trademark of the Apache Software Foundation. Milvus is a registered trademark of Zilliz. MinIO is a registered trademark of MinIO, Inc. Amazon Redshift and Amazon Aurora are registered trademarks of [Amazon.com](http://amazon.com/), Inc. Google Cloud is a registered trademark of Google LLC. Snowflake is a registered trademark of Snowflake Inc. Databricks is a registered trademark of Databricks, Inc. MySQL and InnoDB are registered trademarks of Oracle Corporation. MariaDB is a trademark of MariaDB Corporation Ab. All other trademarks are the property of their respective owners. Copyright © 2010–2026. All Rights Reserved by MinervaDB®.

→ Index

The Data Transformation Company

Data Architecture, Engineering and Operations for SQL, NoSQL, NewSQL, Cloud Native Data Platforms, Analytics and AI

PostgreSQL Performance