Now, when you are done with the GET API request, let's add the second request that is the POST request. Making the thread count 10 again, you can see the test running a required number of times, 20 times.

Furthermore, the information about different requests that include other parameters like latency, errors, etc. Since the number of threads was not 1 this time, the test can be seen running the required number of times.

You can see the information for any API request by clicking on it. So, this is how you can create, run and perform API Testing for different API requests in JMeter.

By now, you would have understood everything you need to know about JMeter API Testing. In the beginning, you learned what an API is, and then you saw why JMeter is chosen to perform API Testing. Then finally, you understood the process of performing API Testing using JMeter with a hands-on demo.

Check out our Jmeter tutorial to know more about Jmeter Testing. To know more about JMeter API Testing, you can have a look at this video.

Are you looking to build a career in software testing? If you have any questions for us, let us know in the comments section of the tutorial, we shall have our experts answer them for you.

Ishan Gaba is a Research Analyst at Simplilearn. He is proficient in Java Programming, Data Structures, and Project Management. Graduated in Information Technology, Ishan is also passionate about writing and traveling.

Tutorials Articles Ebooks Free Practice Tests On-demand Webinars Live Webinars. Home Resources Software Development JMeter Tutorial: Getting Started with JMeter Step-by-Step Guide to Perform JMeter API Testing.

JMeter Tutorial: Getting Started with JMeter Overview How to Download and Install JMeter for Windows Lesson - 1 JMeter Load Testing Lesson - 2 JMeter Performance Testing Tutorial for Beginners: Here's All You Need to Know Lesson - 3 Step-by-Step Guide to Perform JMeter API Testing Lesson - 4.

Step-by-Step Guide to Perform JMeter API Testing Lesson 4 of 4 By Ishan Gaba Last updated on Jul 24, Tutorial Playlist. Only a soak test that evaluated API performance in response to a prolonged increase in load would have revealed the issue.

Under this method, you write tests that evaluate API functionality, then run them under different load conditions. The advantages of this technique are twofold.

First, it saves time on test development and execution because you can extend your functional tests into functional load tests, instead of having to write and run functional and load tests separately.

Second and most important, API functional load testing allows you to evaluate not just whether the API can handle a given load pattern or not, but how well it handles it.

Conventional load tests only reveal whether the API fails or not in response to a given load condition. But with functional load testing, you can track functionality — a more nuanced and granular insight — under varying load conditions. API performance testing is one of those things that seems simple enough on the surface, but is actually pretty complex when you unpack it.

This is probably part of the reason why the OWASP API Security Top 10 includes a failure by API publishers to rate-limit their APIs, which can open the door to DDoS attacks, presumably because they fail to test their APIs under heavy loads.

Ultimately, SRE teams should be able to reuse API performance tests as API performance monitors that can integrate the positive and negative test scenarios of functional load testing in order to significantly increase SRE confidence in production and live environments.

Back to Resources. Posted March 17, Understand API Load Testing vs. API Performance Monitoring. What Is API Performance Testing? Types of API Load Testing. The term Load Testing refers to a standard version of the performance test.

You specify the number of VUs, the test script and the time to run the test and all VUs hit your API continuously during the specified time while the testing tool records the performance. Then you can compare the performance metrics against the SLA.

When performing stress testing , you start with a low to medium number of VUs and then, step by step, increase their count. This process is also called ramping up.

The idea behind this testing approach is to continuously grow the load to find the point at which your API becomes either too slow, non-responsive or throws errors.

In BlazeMeter's Load Configuration you can select the number of users that you need and choose a long ramp-up time so you can observe the system as its load increases.

The ramp-up starts with a single user and grows linearly until reaching the selected number of users. The idea behind Soak Testing is that sometimes a system seems to perform as expected under a particular load and then, all of a sudden, it stops working without any changes in traffic.

Running out of server memory or disk space due to leaks or not cleaning up logs etc. is a common reason for it. To discover these errors before they happen, you can soak test. A soak test is a load test that runs with a high but non-critical number of VUs for a long time, from several hours to multiple days.

With Peak Testing you simulate your API at peak times. These are the times during which you expect a higher load. A peak test is typically shorter than a soak test and often includes ramping up and ramping down to a higher pressure but not as huge as within a stress test.

These test cases can be helpful to test the scalability of your API, especially if you run it on serverless or auto-scaling infrastructure. The idea behind Spike Testing is to increase the load in short bursts, much faster than in a peak test, to see how the system performs to sudden increases who flatline again.

You can configure peak tests in BlazeMeter by choosing a high number of users and short ramp-up times. When doing software performance testing , you can call a single URL or multiple URLs in succession.

The most straightforward approach is just testing single API endpoints. For a more realistic view, it can be helpful to write a few scenarios of multiple API calls that typically happen in succession. For scenario tests, you can use open source JMeter or open source Taurus and then upload the script to BlazeMeter.

To create a load testing strategy, the first step is to discover and understand the load requirements, scenarios and the use cases for your APIs. During these times, people are coming in and doing a lot of transactions on your website and hence your APIs.

You might decide to build a baseline support of users per second. You want to know the capacity of your hardware to determine the number of servers you will need for your peak loads.

You would also want to know the peak traffic times at different times of the day, a good way to determine the traffic during different times of day is through Google analytics. ReadyAPIvides you with several different load testing profiles, including: fixed, burst, RAM, random, variance and custom.

Custom means that you can design your own profile from scratch. ReadyAPI will enable you to create detailed load profiles for your APIs from scratch. What this means is that, once you convert your functional test to a load test, you can configure these strategies for your APIs with just a click.

Then, you can test them, see the response and error metrics, perform statistical analysis, download reports and fix any issues around them. The baseline is very good for a couple of things. With it, you can very quickly check that what works for you from a functional perspective, where a single user interacts with your APIs, also works for you from a performance perspective.

This will allow you to ensure that it works for a couple of users, more than just one. After running the test, check the "results in the table" and see the testing being performed. This can be seen in case "view results in the table" is available too. In the view results tree, you can click on a request and see different information.

Here you can see the sample start, load time, latency error, etc. In the "view results in table," window, you will be able to see all the information in a tabular format. You can also see the response data in the above image.

This is the same data available when you copied the URL from the browser. Furthermore, the response headers and the request placed can also be checked. Now, when you are done with the GET API request, let's add the second request that is the POST request. Making the thread count 10 again, you can see the test running a required number of times, 20 times.

Furthermore, the information about different requests that include other parameters like latency, errors, etc. Since the number of threads was not 1 this time, the test can be seen running the required number of times. You can see the information for any API request by clicking on it.

So, this is how you can create, run and perform API Testing for different API requests in JMeter. By now, you would have understood everything you need to know about JMeter API Testing. In the beginning, you learned what an API is, and then you saw why JMeter is chosen to perform API Testing.

Then finally, you understood the process of performing API Testing using JMeter with a hands-on demo. Check out our Jmeter tutorial to know more about Jmeter Testing. To know more about JMeter API Testing, you can have a look at this video.

Are you looking to build a career in software testing? If you have any questions for us, let us know in the comments section of the tutorial, we shall have our experts answer them for you. API load-testing may seem straightforward on the surface.

The process becomes a bit more complex when you factor in complex workflows, such as authentication, reused variables, and other elements that require dynamic correlation between requests.

If you have a web application that consumes the API, you may want to load test the web application and the API to get the best results. In addition to API load tests, LoadNinja makes it easy to build UI load tests that leverage real browsers in the cloud.

Anyone can record tests in a web browser and replay them across tens of thousands of browsers to generate the most accurate results. Developers can also dig into individual browser sessions to debug performance bottlenecks. How to Choose the Best Load Testing Approach for Your Organization Get the Ebook.

APIs are the foundation of software businesses, which means that they should be well-tested. While API load tests seem straightforward on the surface, well-designed tests can take a lot of time to build. LoadNinja streamlines the process with a browser-based platform while providing access to extensive tools to help identify and solve bottlenecks.

By submitting this form, you agree to our Terms of Use and Privacy Policy. Ensure your web applications reliably perform under any condition.

Home Articles What is API Load Testing. What is API Load Testing? In this article. Why Load Test APIs? How to Load Test APIs There are many different tools that you can use to load test APIs.

Then last one that is also common is a soak load test. While everything might work and everything might be configured well for a burst of heavy traffic but is your system setup right for the long haul? Testing your system under such conditions is important as there might be a memory issue that will get uncovered only when hit by traffic for a long duration of time.

A soak load test involves a low number of users, but is run for a long period — say 12 to 24 hours. These are the most common load tests, baseline for establishing SLA, peak for managing heavy volumes, stress to find the number of boundaries that can be serviced with your defined SLA and soak to identify any kind of hardware memory leaks.

Home Learn Load Testing Load Testing Strategies. What is a Load Testing Strategy? What is a load testing strategy? You want to know the capacity of your hardware to determine the number of servers you will need for your peak loads You would also want to know the peak traffic times at different times of the day, a good way to determine the traffic during different times of day is through Google analytics.

Baseline Profile The baseline is very good for a couple of things. The peak scenario is much more life-like, and it might give you an idea that your APIs can grow to service that many transactions, whereas if you ran it as a baseline test, you might see it crash immediately when your system actually may have the capacity to withstand 10, users 3.

Soak Profile Then last one that is also common is a soak load test. Try ReadyAPI for free today! After running the test, check the "results in the table" and see the testing being performed. This can be seen in case "view results in the table" is available too.

In the view results tree, you can click on a request and see different information. Here you can see the sample start, load time, latency error, etc. In the "view results in table," window, you will be able to see all the information in a tabular format. You can also see the response data in the above image.

This is the same data available when you copied the URL from the browser. Furthermore, the response headers and the request placed can also be checked. Now, when you are done with the GET API request, let's add the second request that is the POST request.

Making the thread count 10 again, you can see the test running a required number of times, 20 times. Furthermore, the information about different requests that include other parameters like latency, errors, etc.

Since the number of threads was not 1 this time, the test can be seen running the required number of times. You can see the information for any API request by clicking on it.

So, this is how you can create, run and perform API Testing for different API requests in JMeter. By now, you would have understood everything you need to know about JMeter API Testing. In the beginning, you learned what an API is, and then you saw why JMeter is chosen to perform API Testing.

Then finally, you understood the process of performing API Testing using JMeter with a hands-on demo. Check out our Jmeter tutorial to know more about Jmeter Testing. To know more about JMeter API Testing, you can have a look at this video. Are you looking to build a career in software testing?

If you have any questions for us, let us know in the comments section of the tutorial, we shall have our experts answer them for you. However, load tests provide a much broader range of KPIs than functional tests. Functional testers typically don't care about response times as long as there is no timeout, but load testers record them for each run to provide statistics such as average, mean, minimum, and maximum response times that the API provider may want to assert as part of their Service-Level Agreement SLA.

Load tests need proper planning. To administer a test, you need both a test script and one or more scenarios in which to execute it. You should ask yourself what you want to accomplish with your testing, and then select the approach and its parameters accordingly.

It's also important to consider the use cases of your API and which load and changes in API request traffic you are likely to experience as a result. The term Load Testing refers to a standard version of the performance test. You specify the number of VUs, the test script and the time to run the test and all VUs hit your API continuously during the specified time while the testing tool records the performance.

Then you can compare the performance metrics against the SLA. When performing stress testing , you start with a low to medium number of VUs and then, step by step, increase their count.

This process is also called ramping up. The idea behind this testing approach is to continuously grow the load to find the point at which your API becomes either too slow, non-responsive or throws errors. In BlazeMeter's Load Configuration you can select the number of users that you need and choose a long ramp-up time so you can observe the system as its load increases.

The ramp-up starts with a single user and grows linearly until reaching the selected number of users. The idea behind Soak Testing is that sometimes a system seems to perform as expected under a particular load and then, all of a sudden, it stops working without any changes in traffic.

Running out of server memory or disk space due to leaks or not cleaning up logs etc. is a common reason for it. To discover these errors before they happen, you can soak test.

A soak test is a load test that runs with a high but non-critical number of VUs for a long time, from several hours to multiple days. With Peak Testing you simulate your API at peak times. These are the times during which you expect a higher load.

A peak test is typically shorter than a soak test and often includes ramping up and ramping down to a higher pressure but not as huge as within a stress test. These test cases can be helpful to test the scalability of your API, especially if you run it on serverless or auto-scaling infrastructure.