How Appsierra Performs Load Testing On Concurrent Users?
The new and old mobile app testing has now become the main part of app development. Because of the launch of thousands of mobiles and software, it is critical to utilize tools and methods that do the real testing of your app. Being a mainstream mobile app testing organization, we receive many requests to develop a particular app. Each app is special on its own and different tasks. Therefore other apps ask for different approaches to testing.
Many organizations use mobile testing tools like JMeter. Here, we use Appsierra as an industry example to tick all the boxes related to app testing.
Appsierra allows us to test various IPs within the spreading network. It is often necessary due to several apps conceptualized around business models that attract simultaneous traffic from a completely different geographic location. Testing from one IO may confuse your AWS server, and it will get a DoS attack.
What is Load Testing?
Load testing can be considered as non-functional testing. It is a style of software system testing to grasp or know the app’s response under a particular load. The testing is also done to absorb the app’s behaviour under normal and extreme conditions.
Load testing one of the various performance testing styles that determine the system’s performance in real-time load conditions. It makes sure that the app performs well when concurrent users are using it at the same time.
- We use load testing to spot whether or not the infrastructure used for hosting the app is enough or not.
- It tells us whether the app’s performance testing is good when it’s at its user load height.
- It finds out the exact number of concurrent users the app will handle and the scale of the work needed in terms of hardware, network capability, etc. So a lot of users may access the app.
- It helps spot the app’s most operational capability, like any bottlenecks, and verify that part is inflicting degradation. E.g., if the quantity of users is maximized, what amount of CPU memory will be used, and at what time the network and the bandwidth answers.
- Load testing is often done below controlled Technology lab conditions to check the capability of various systems or find the actual capabilities of a particular course.
- Load testing involves simulating the actual user load for the target app. It helps you find out the exact behavior of your application when the maximum user uses the app simultaneously.
- Load testing cannot be called same as stress testing, that evaluates the extent to that a system keeps operating one subjected to extreme working condition or once a number of its hardware or software has been compromised.
- The main motto of load testing is to outline the quantity of workload a system will handle without giving major performance degradation.
- Load testing falls below the class of non-functional testing. It is chiefly used for mobile testing the performance of a client and web-based app.
- In most organizations, load testing is performed at the tip of the software development life cycle, whereas some organizations don’t perform load testing in the least. By any chance, if there is any problem related to the application, then the customer may suffer a loss in its revenue.
In this post will see a few details from a property listing app on which we are currently researching. The app allows the final users to look for properties among a given area and mark favourite and desired properties.
Every property is coupled to a particular broker, and the app UI will allow the users to call the broker from the app itself, a true and native dialer that pops up. The whole system conjointly comes with a backend CMS that brokers field used to input information into the database.
Also read: Free Web Load Testing Tools
Load Testing for 500 Concurrent Customer
Here is the load testing for concurrent customer:
- The app owners need to look at 500 users getting 10000 requests.
- To begin the proceedings, we examine the app for 50 synchronous users. Almost 1928 requests were produced with a processing time of 20 minutes.
- The first ten displayed that a variety of internet services encountered different errors. The output was two hits per second. A number of the slowest services yielded latency of quiet 1,27,000 millisecond that is too slow.
- We conjointly found 24 varieties of error encountered by a variety of internet services among the app.
- If we want the app to function evenly for 500 consecutive users, these issues must be examined and removed. We have estimated that we must optimize many web services and set a new server configuration for the app.
First of all, we have troubleshot glitches with Web services.
- We remove the number of subqueries for faster performance of the services.
- Wicket down on joint switch significantly reduced many services execution time.
- Limit changes so that the required column gets called.
- The developers opted for indexing on multiple tables.
Secondly, we configure the webserver.
We also felt a necessity to increase the server configuration, so we turn from a medium instance to a large specimen with 4GB of ram and a dual-core processor. Right now, we are running on a large example of testing and an identical application.
After performing these changes, we conducted massively, bringing down the response time of the web services. Zero error rate for 720 concurrent users is far more than the 500 used as previously decided upon.
The new average response time held at 493 milliseconds with no errors was registered at all. Server latency, which was land uniform in the former case, was also defeated and leader to a uniform and fast response time. All the web services have behaved normally and answered the queries with an average response time ranging from 0.3-0.4 seconds with zero error rate.
A property listing application may attract a significant number of concurrent users. Hence it is remarkably important for developers to test the application as its respective Web services with the predetermined number of simultaneous users. Appsierra helps in accomplishing this easily.
Also read: Load Testing in Software Development
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