String concatenation is a fundamental operation in Java programming. Whether you’re building complex logic, formatting output, or generating dynamic content, knowing the best methods to concatenate strings efficiently can make a significant difference in performance and readability.

A Managed ETW Provider and the 15002 Error

by Sebastian Solnica

A managed ETW provider and the 15002 error

Adventures in Benchmarking - Memory Allocations

by matt warren

Adventures in Benchmarking - Memory Allocations

Adventures in Benchmarking - Method Inlining

by matt warren

Adventures in Benchmarking - Method Inlining

Adventures in Benchmarking - Performance Golf

by matt warren

Adventures in benchmarking - performance golf

ag-Grid (React) Cell Renderers Performance

by morzel

Cell renderers performance in ag-Grid

Analysing Optimisations in the Wire Serialiser

by matt warren

Using BenchmarkDotNet, this post will analyse the individual optimisations and show how much faster each change is.

Best Practices in SQL Coding

by Vivek Johari

For any programming language, just writing the code is not well enough. It should be written using the best practices for getting optimise performance . In this article, I will explain the disadvantages of writing code without using Best Practices in SQL Coding.

B-tree Indexes

by Ronnie Mukherjee

B-tree Indexes

Bulk Insert in Spring Boot: A Comprehensive Guide

by Trần_Tuấn_Anh

Bulk insert operations are essential when dealing with large datasets in enterprise applications. In Spring Boot, efficiently handling bulk inserts can significantly improve performance and reduce the time complexity of database operations.

Comparison of Sorting Algorithms

by The Sun God

Comparison of the various sorting algorithms on the basis of several factors

Diagnosing a Windows Service timeout with PerfView

by Sebastian Solnica

Today I would like to share with you an interesting (I hope) diagnostics case in one of our system services. The IngestService (that is its name) was not starting properly for the first time – it was being killed because of exceeding the default 30s timeout.

Diagnosing applications using Performance Counters

by Sebastian Solnica

Performance counters are used to provide information how well the operating system or an application, service, or driver is performing.

Essential Tips for Coding in Java

by Trần_Tuấn_Anh

Coding in Java can be a rewarding experience, especially when you follow best practices and leverage the language's full potential. In this article, we'll explore several tips that can enhance your Java programming skills, backed by examples, demos, and results.

Flexible Particle System - Emitter and Generators

by Bartlomiej Filipek

Description of my emitter and generator module for particle system

Flexible particle system - How to start with Software Optimization

by Bartlomiej Filipek

How to start optimizing the particle system code.

Flexible Particle System - OpenGL Renderer

by Bartlomiej Filipek

Description about my simple OpenGL renderer for the particle system

Flexible Particle System - Start

by Bartlomiej Filipek

Flexible Particle System - Start

Flexible Particle System - The Container

by Bartlomiej Filipek

Flexible Particle System - The Container

Flexible Particle System - The Container 2

by Bartlomiej Filipek

Description of the implementation of my particle container

Horizontal Pod Autoscaler (HPA) in Kubernetes

by Trần_Tuấn_Anh

The Horizontal Pod Autoscaler (HPA) is a Kubernetes feature that automatically adjusts the number of pods in a deployment to match the demand, based on metrics like CPU or memory. This ensures optimal performance and scalability of applications.

How to approach for performance tuning of a Complex SQL Query

by Vivek Johari

Performance tuning of a complex SQL query involves understanding its execution flow, optimizing query structure, and improving database interactions. In this article, I will discuss the approach which can be helpful for performance tuning of a complex SQL query.

How to Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips to Get Started

by Dev Leader

Learn how to use BenchmarkDotNet to effectively create and run benchmarks on your C# code. Dig into where you have opportunities to optimize your C# code!

Introducing Musketeer – The Performance Counter Data Collector

by Sebastian Solnica

How to create a very simple Windows Service (I will call it Musketeer) that will collect information about other processes running on a server

Iterator Benchmarks that Shocked with Unexpected Results

by Dev Leader

This article is follow up content to previous articles I've written about iterators and collections, but the benchmark results were NOT what I expected!

Java Thread Pool: How to Efficiently Manage Threads

by Trần_Tuấn_Anh

Thread pools in Java provide a mechanism to manage and reuse a set of threads for executing tasks, thereby improving the performance and resource management of multi-threaded applications.

Performance Tests Between Multiple "multi-key" Dictionary Implementations

by Aron Weiler

Performance tests between multiple "multi-key" Dictionary implementations

Persistent Mapped Buffers in OpenGL

by Bartlomiej Filipek

Summary of techniques to stream data from CPU to GPU in OpenGL with focusing on new method called persistent mapped buffers.

Python, Min-cost Max-flow, and a Loose End

by Mohammad Nasirifar

My status report while trying to understand why the exact same code Runs 1000s (not kidding) of times slower in Python

Reasons to Use Database Partitioning: What Is It and Why It Matters?

by Trần_Tuấn_Anh

Database partitioning is a technique used to divide a large database into smaller, more manageable pieces while still being treated as a single entity. This method can drastically improve performance, maintainability, and scalability of a database, especially as the amount of data grows.

Roslyn code base - performance lessons (part 2)

by matt warren

In my previous post, I talked about some of the general performance lessons that can be learnt from the Roslyn project. This post builds on that and looks at specific examples from the code base.Generally the performance gains within Roslyn come down to one thing: Ensuring the garbage colle

SQL Server and Duplicate Indexes

by Martin Thwaites

SQL Server and duplicate indexes

Stack Overflow - Performance Lessons (Part 1)

by matt warren

Stack overflow - performance lessons - Part 1

Stop Saving to Disk with C# Asynchronous Streams

by Lee P Richardson

Asynchronous streams, the real world problem they help us solve, and some common pitfalls

Understanding PUT vs PATCH: Key Differences and Use Cases

by Trần_Tuấn_Anh

When working with APIs, understanding the differences between PUT and PATCH methods is crucial for effective data manipulation. Both methods are used for updating resources, but they serve different purposes and have distinct characteristics.

Understanding Serialization and Deserialization: Methods, Examples, and Best Practices

by Trần_Tuấn_Anh

Serialization and deserialization are crucial concepts in computer science that facilitate the storage and transmission of complex data structures. In this article, we will explore what these terms mean, their significance, and how they are implemented in practice.

Understanding the Thread Time view in PerfView

by Sebastian Solnica

Recently while examining a slow request issue (I have a plan to describe this investigation in a seperate post) it came to me that every time I open the Thread Time view it takes a moment to understand what this view actually contains.

Utilize gzip Compression in IIS

by Wayne Ye

Describes the importance of enabling GZIP compression in Web application

Vacuole Encapsulation

by Keyhole Software

Encapsulation approach to bring data sources and implementations closer together, allowing reflection-like behavior in a format that mere mortals can read.

Vector of Objects vs Vector of Pointers

by Bartlomiej Filipek

How memory access patterns can influence performance of your code

What is an Atomic in Java? Understanding Atomicity and Thread Safety in Java

by Trần_Tuấn_Anh

In the world of concurrent programming, ensuring data consistency and thread safety is crucial. Java provides a special class known as Atomic to help developers manage these aspects efficiently. But what exactly is an atomic variable in Java, and how does it differ from a regular primitive type?

Why Estimating Cognitive Effort Simplifies Knowledge Work

by Lukasz Szyrmer

Story points defined, disclaimers and example provided