DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Because the DevOps movement has redefined engineering responsibilities, SREs now have to become stewards of observability strategy.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

Related

  • Biggest Software Bugs and Tech Fails
  • Load Testing Essentials for High-Traffic Applications
  • Why You Need to Shift Left With Mobile Testing
  • The Art of Manual Regression Testing

Trending

  • Useful System Table Queries in Relational Databases
  • Is Big Data Dying?
  • How to Use AWS Aurora Database for a Retail Point of Sale (POS) Transaction System
  • Can You Run a MariaDB Cluster on a $150 Kubernetes Lab? I Gave It a Shot
  1. DZone
  2. Testing, Deployment, and Maintenance
  3. Testing, Tools, and Frameworks
  4. Load Testing Made Easy: A Comprehensive Introduction

Load Testing Made Easy: A Comprehensive Introduction

A guide to understanding and performing load testing, including key concepts, setup, tools, and best practices to ensure application reliability and scalability.

By 
Yogesh Solanki user avatar
Yogesh Solanki
·
Jun. 19, 24 · Analysis
Likes (2)
Comment
Save
Tweet
Share
1.9K Views

Join the DZone community and get the full member experience.

Join For Free

What Is Load Testing?

Load testing is also termed reliability testing or software performance testing. It is a software testing method where the software or an application is put through an abnormal load to see how it reacts and performs under that condition. It is thoroughly checked if the performance of the application decreases or increases in that situation. The main aim of running a load test is to detect the potholes in an application’s performance and smoothness. This ensures that stability is instilled into that software when multiple users access the same function simultaneously.

The biggest USP of Load Testing is that it helps in giving out a clearer picture of the limitations of the application. Then, enabling enables the tester to analyze the root cause of the problem and take corrective measures. Through load testing, the failures are limited during production, which in return reduces the expenses. Hence, load testing is very cost-effective in nature.

User Experience Under Load Testing

Users perform this test to describe how promptly the device under test (DUT) responds to a certain amount of production load. There are selected applications that go through this test where the performance of the targeted application is denoted as the User Experience Under Load. Finally, the users assess the results to find if the application is performing on point.

Load Testing Tools

Some of the most popular testing tools are listed below:

  • Apache JMeter
  • BlazeMeter
  • Blitz
  • Flood
  • Gatling
  • Loader.io
  • LoadRunner
  • Load Test
  • LoadUI
  • Login VSI
  • NeoLoad
  • OpenSTA
  • Rational Performance Tester
  • Silk Performer                            
  • Siege
  • Test Studio
  • Visual Studio
  • WebLOAD

Why Is Load Testing Important?

Load testing is a crucial part before an application or software leaves for production. Because there is a certain amount of load that an application is put through after the functional test. However, this doesn’t mean that the same application would go through the same amount of load when the user uses it. Hence, load testing is essential to check for any loopholes or error functions. This ensures correcting the loopholes.

Today, people rely a lot on applications for day-to-day functions and solving critical problems. Hence, they cannot afford the application to break down regularly due to excess load. It can adversely affect the software branding. Thus, load testing ensures the successful and efficient running of the software.

How To Start This Testing

The basic steps to start the process of this testing are:

  • First, gather all the requirements to begin the test. This includes all essential parts, along with all the experience and problems the application’s end-users face.
  • Second, follow how the end-users use the application and the amount of load they put on it regularly to analyze the actual journey of the application.
  • Third, establish a solid base on which you can specify the conditions and run tests. Whenever you see the specifications are not met, update the process for better test execution.
  • Finally, give the ample amount of importance test loading requires and integrate the whole test execution process with all the tools necessary.

Selecting a Load Testing Tool

Keep in mind the following points before selecting the suitable load testing tools. Hence, check for the following:

  • Efficiency and accessibility of the tool before creating test cases.
  • Accuracy of the tool by tracking real-time test data.
  • Scalability of the tool by regulating the number of test cases or instances.
  • Integrity methods of the tool to bring down all tools together.

Benefits 

The benefits are:

  • Identifies the loopholes of an application before direct production.
  • Increases the scalable functions.
  • Optimizes performance to reduce the risks of system downtime.
  • Substantially reduces the costs of repairing after failure.
  • Increases satisfaction and provides a better end-user experience.

Best Practices

The best practices for load testing are:

  • While carrying out a load test, it is essential to think like a user. This helps incorrectly develop test cases and put an appropriate load on the system for testing.
  • The more often you load-test your systems, the better it works. On top of that, if you feel that an application or software is not reacting to load well, consider testing it in the early stages before a complete breakdown happens.
  • Before starting a full-blown load test, try to analyze all the real-time issues that a system is facing. Create a test case accordingly and then execute all of it. Keeping that in mind, never put on the complete load at once. Instead, consider putting it in installments and recording every stance of the system’s reaction.

Load Testing Guidelines

Here are the guidelines to conduct the test:

  • Plan the test once the application is stable. 
  • A vast number of data (Unique) should be readily available in the data pool.
  • One should avoid creating detailed logs to conserve the space of disk IO properly. 
  • Avoid downloading images on the site.
  • Decide the number of users for every script and scenario. 

Conclusion

Hence, this testing ensures that your application runs smoothly and effectively, thereby satisfying the experience of an end-user. This ensures a reduction in functional errors and increases the application’s performance exponentially.

Load testing Software testing Testing

Published at DZone with permission of Yogesh Solanki. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • Biggest Software Bugs and Tech Fails
  • Load Testing Essentials for High-Traffic Applications
  • Why You Need to Shift Left With Mobile Testing
  • The Art of Manual Regression Testing

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!