by admin | Aug 17, 2019 | Performance Testing, Fixed, Blog |
Load testing checks the ability of a software application to perform under anticipated user loads. The objective of load testing is to identify potential bottlenecks in an application before sending it ‘to market’. Further, load testing aims to check the availability of a system, its performance, capacity, and to validate its ability to deliver the service or functionality requested by the user/as intended. Any top performance testing company would ensure that testers also validate server response. This is performed by checking database execution time and verifying the response time of the application under low, normal, moderate, and heavy load conditions. The fact is experts know that load and functionality related problems usually happen, and hence every single step of performance validation is critical to success. Companies specializing in load and performance testing will validate server responses each time. This validation covers a vast gamut of activities, and some of these include validating – response code, basic structure of a page, main components, page completeness, important points of the activity currently being conducted, and a lot more.
Deliver Top Quality Products
A top performance testing company would ensure that accuracy of the server response each time. To achieve this, test engineers would ensure that load testing products provide efficient validation functionality. By devising test scenarios and validation parameters that guarantee the successful execution of services being tested, testers can ensure validation of the server response to some extent. Some test engineers may view this from a load testing perspective – for instance, identifying pages with responses that exceed certain specified duration. Engineers undertaking load testing services would need to investigate such discrepancies and provide immediate remediation.
Checking the Response Codes
Load testing service engineers could discover that unexpected data is going out as a user request-response. Response codes are essential to detect such anomalies in the server response. For instance, a properly functioning web server is expected to generate a response code of 200. However, testers of a performance testing company may detect responses such as 401, 404, and 503. These responses indicate a clear problem while validating the server response during load testing exercises. Further, the total time required to load an entire webpage is indicative of server response performance in certain testing scenarios.
Hardware Problems
Computer hardware performance is critical to load testing exercises. An engineer providing performance testing services must assess the performance of testing hardware before evaluating test results. The hardware (such as a web server or a server farm) hosting an application must perform optimally at all times. An intelligent approach to this would be to perform distributed load testing from multiple geographical locations. Additionally, modern testing tools and frameworks can help detect hardware problems that could distort the server response in test environments.
Validation Rules
Test engineers performing load testing services can deploy validation rules to assess the accuracy of server responses. Validation rules represent comparison criteria that testers can add to scenarios and these rules work by comparing server response data against expected values. A tester can create a specific validation rule if a server ‘responds’ with incorrect data. Typically, validation rules can be built around simple data types such as strings, long strings, numbers, Boolean values, and complex data such as objects or arrays. Such techniques represent benchmarks in the realm of server response validation during load testing.
In Conclusion
Server response has a direct impact on the experience of a software application or product by the end user. Therefore, this parameter must be tested from multiple perspectives to guarantee client satisfaction and user delight. Functional problems usually emerge during load and performance testing – not typically during load execution but during dry-runs of low load. Additionally, inconsistent response times, spikes, and others are certain ‘typical flawed load behaviors’. The premise of validating server responses during load and performance testing is to find unusual and unexpected flaws. Experts testers would excel in such testing exercises – connecting with us puts you in the driver’s seat.
by admin | Aug 8, 2019 | Performance Testing, Fixed, Blog |
Today, you will learn how to perform distributed load testing in Locust. If you are not familiar with Locust, then let’s refresh the basics and see how to perform distributed execution. Locust is an open source load testing tool and you can describe all your test in Python code.
Installation Locust is a Python library. It does not have any UI to write or configure your test. You can describe all your test in Python code.
Locust File CreationCreate a python file using the below code.
from locust import HttpLocust, TaskSet, task
class UserBehavior(TaskSet):
@task
def index(self):
self.client.get("/")
class WebsiteUser(HttpLocust):
task_set = UserBehavior
min_wait = 5000
max_wait = 9000
Note: If a file has HttpLocust class, then it will be considered as LocustFile. In the above code, we have two classes, one is TaskSet which is used to declare all your tests and the second one is HttpLocust which represents one user and it should have task_set attribute.
Executing Locust FileUse the below command to run your Locust file.
locust -f locust-examples/locustfile.py --host=http://google.com
Note: As per the above command, our LocustFile is placed inside a folder (i.e. locust-examples). Once you execute the above command, Locust web monitor will start and you can start load execution from web monitor
Locust Web MonitorYou can launch the web monitor using http://localhost:8089/.
Now, click Start Swarming button after entering number of users and Hatch rate.
Distributed Execution
To start locust in master mode:
locust -f my_locustfile.py --master
And then on each slave (replace 192.168.0.14 with IP of the master machine):
locust -f my_locustfile.py --slave --master-host=192.168.0.14
by admin | Aug 8, 2019 | Performance Testing, Fixed, Blog |
Businesses and enterprises rely heavily on digital applications for critical functions and hence it is important to validate whether applications can withstand realistic workload scenarios. Application load testing helps test engineers determine the behavior of a system under normal (and anticipated) peak load conditions. Such exercises help to identify the maximum operating capacity of an application and detect any bottlenecks. In essence, load testing ensures a given function, program, or system can handle the assignments it is designed to execute.
Beyond Functional Testing
The functional testing of an application, while important, in no way degrades the centrality of application load testing – a performance testing company undertakes such testing to measure the performance of an application over time. Commercially available load testing tools help ensure applications can withstand normal amounts of user traffic and can navigate spikes and unusual conditions. Further, application load testing helps validate the fundamental features of a software product – measure the speed, accuracy, and stability of the software, identify discrepancies, resolve issues, and improve optimization and load capability.
Components of Load Testing
Commercial providers of load testing services can gather requirements, map relevant user journeys, establish a baseline, and automate and integrate the various units of a software product as part of application load testing activities. Such actions help providers of load testing services to gain a deeper understanding of the end-user experience, identify how users interact with an application, use monitoring data from any APM tools, run tests to establish a solid baseline for further testing, and prioritize load testing as a part of CI/CD processes, while integrating with automation tools already in use.
Cloud: Insurance for Performance
When load testing services adopt a firm stance on performance using cloud-based testing services would make the task more efficient. This choice of action reduces the costs of failure in application load testing campaigns. It helps to minimize risk related to performance requirements, increase customer satisfaction, detect performance bottlenecks, and improve the scalability of an application. Further, it boosts the deployment quality of any tested application, optimizes costs related to hardware and software, reduces the risks and costs associated with downtime, and provides tangible statistics to developers. Additionally, commercial cloud-based load testing services help start-ups to build a better and more scalable application.
Measure and Repeat
Measuring the performance of an application is an important aspect of performance testing. Measurements allow testing engineers to derive an understanding of choke points and bottlenecks within a software application. The use of application and server performance monitoring services empowers measurement activities and enables load testing campaigns to attain fruition. Additionally, measuring the internal working of an application and comparing these with load testing results helps implement tweaks to a modern software application. Finally, software testers need to repeat testing processes and refine them for better outcomes. It is important to continue writing tests, undertake functional and load tests, and execute measurements. These actions allow them to identify issues, make improvements, and release new iterations of an application – leading to a better, stronger and more scalable service for end-users.
In Conclusion
Load testing remains critical whether an application is a mobile, web or client/server design. Therefore, a performance testing company should plan for dedicated resources, who would be experts in development, execution, and keeping load testing up-to-date in line with customer standards and requirements. Customers have several choices in the market, and their expectation of a high quality application should guide performance testing companies in executing their services. Load testing ensures that the application delivers even under heavy user loads, traffic spikes, failover switches, and situations fraught with network speed variables. To work with the very best performance testing company – connect with our experts.
by admin | Jul 17, 2019 | Performance Testing, Blog |
by admin | Jun 28, 2019 | Performance Testing, Blog |
by admin | May 21, 2019 | Performance Testing, Blog |
