Performance is a measure of quality. Your customers expect high performance from your web application. In case of slow response on your site, the customer will feel that your web application is not working correctly.
To understand the bottlenecks that affect the performance of the web applications, product owners must need to go through the performance profile of their applications. To fix the bottlenecks to improve the performance scale and site’s speed, one must consider load testing services within an agile environment.
- The sustainability of the application concerning high user load.
- The applications’ maximum operating capacity.
- It helps to understand whether the current infrastructure is enough to operate the application.
- A number of concurrent users supported by the application or how many users can access the website.
- Scalability of the application.
Implementation of Load Testing With Agile Approach
One of the primary intentions of Agile is it enables us to manage change effectively in both external and software functionality.
It allows us to streamline the development of quality software. One of the essential factors of an organizational Agile is that it supports teams to produce a usable version. This load testing approach supports you to put tech writers, QA, and Devs on one page, and in the case of performance testing in Agile, it helps you design a resource and make you responsible for the testing. The other fact is all stakeholders, including those who are business members, have an allowance to include in this process.
The growing adoption of interventional radiology techniques has intensified the need for guidewires and is projected to continuously be used in the future. The global market for guidewires is anticipated to register a positive growth outlook, skyrocketing at a CAGR of 6.1% during the forecast timeframe of 2020-2025. The market is expected to hit a value pool of US$ 2.6 Bn by the end of 2025.
The benefits of Guidewire products are interesting, but we can’t skip the challenges that are introduced by Guidewire too while implementing them.
- Consistent upgrades in user requirements.
- Delays occur in the test execution due to the absence of code development.
- Due to no functional and non-functional requirements documentation.
- Insufficient processes follow for the QA and there are no proper guidelines in the hand for particular industry verticals.
- Less knowledge obtained about QA and the critical factors of the business.
If there are too many challenges found in the Guidewire suite, there is an urge to resolve the issues with the experienced testing partner, mainly who has a flair for testing and knows how to give cost benefits to insurers while merging a single suite of applications into the Guidewire’s technology platform.
Read More: Guidewire Testing
Continuous Integration (CI) is a development process in which developers incorporate or integrate code changes into a shared repository quickly, usually many times a day. Thereafter, the verification of each integration is done through an automated build and automated tests. The reason for performing regular continuous integration is that it helps teams to identify defects and fix them quickly. When making small changes in the mobile app, sometimes it introduces a new defect that is easy to recognize with continuous integration.
Continuous testing in DevOps is a type of software testing where the software is tested at every aspect of the software development life cycle. The purpose of continuous testing is to evaluate the software’s quality at every step of the ongoing delivery process by testing early and testing often. One can involve stakeholders like DevOps, developers, QA, and the operation system in the continuous testing process.
The benefit of continuous testing is that code is consistently developed, delivered, tested, and deployed. For instance, Whenever a developer examines its code in the source code server like Jenkins, he/she will be able to execute an automated set of unit tests in the continuous process. In any case of test failure, one can reject the build and give information about it to the developer. If the build successfully passes the test, QA servers for exhaustive functional and load tests are implemented to monitor the performance. The execution of tests is done in parallel. After passing all tests, the software is deployed in production.