In this digital world, your customers need everything “right now” and your competitor is just a “finger-tip” away! All it takes is just one click on their phone to your competitor’s site, and boom — you just lost your customer! And the COVID-19 pandemic has had massive impacts on consumer behavior too. Businesses had to face an ever-growing challenge in their application development and maintenance processes to survive, develop, and add value in the face of such volatile and uncertain times.
Today, all eyes are on cloud. And modern technologies like AI and ML are dominating every facet of the user’s expectation of their application experience. The top businesses are already undergoing this transition, and have found it so effective as it unlocks multiple benefits.
That’s why it is important for organizations — regardless of market, geography or industry — to begin laying the foundation for change. By doing so, they can initiate the transition to a new way of doing business that radically improves resource productivity, enhances differentiation, reduces costs and risks, creates robust new revenue streams, and enhances the customer value proposition.
Today, the cloud is a catalyst for any company’s growth. Products are now moving to the cloud, and so is Testing. The main motivation given by any business for moving their testing to the cloud was cost savings. Cost reductions, however, are only the beginning.
Testing in the cloud helps you to:
Deliver unparalleled speed and agility.
Enable companies to optimize and streamline their testing.
Scale up and down based on the need.
Reduce the time to test new applications.
Provide visibility to make faster and more-informed decisions.
Avoid manual and mundane tasks.
Speed in GTM has become more important now and leaders must adapt their procedures and create a culture that supports it. This shift requires a new mindset amongst leaders as they need to adopt a new set of skills in order to leverage AI solutions to advance their services.
So the million dollar question is: Why haven’t most organizations done this yet?
Top Pain Points of cloud testing adoption
Historically, the applications had centralized and client-server architecture. The move to today’s next-gen ‘cloud based and distributed architecture’ brings its own complexities related to developing and testing applications. Loosely coupled components and innumerable interfaces and dependencies make traditional ways of development and testing obsolete.
The move to cloud testing is a significant hurdle for many teams as it requires a complete review of the existing application infrastructure, updated cloud testing approach/strategy, investments in latest tools and technologies, and capable resources.
From product ideation to its minimum viable product (MVP) release, from gathering the customer feedback to the continuous releases — teams can no longer take years to develop a product. And it’s no longer a one-time event. The process of making modifications to the product is an ongoing event as the product teams continuously assess its effectiveness and solicit consumer input.
Teams need to be fast. Some of the common challenges that teams face are:
AI Testing Solutions that drive faster GTM
Intelligent Test Automation
Intelligent Test Automation makes use of AI and ML algorithms to assist in script creation, increase automation stability, and produce analytics for more effective debugging and efficient decision-making. This also empowers you with model based testing where test scripts are automatically generated, executed and checked based on formal specifications of the system under test.
AI based test automation includes UI Testing, API Testing, along with non functional testing. Along with self-healing capabilities using the new-age intelligent technologies, Webomates infuses intelligence into systems and applications across the software development lifecycle. It adopts automation solutions to support developers to operate with quality and agility.
For testing an ecosystem of intelligently connected devices, Webomates has an IoT lab setup for functional and Usability testing. The automation framework has capabilities to support IoT Automated testing, which adds support for Performance testing, Cross platform and cross device testing.
Testing as a Service
Testing as a Service (TaaS) — also known as On-Demand testing service — helps you scale with agility and overcome the typical traditional testing bottlenecks.
With TaaS, you get multiple benefits like:
6 times faster to set up. 6 times faster to run and heal
Reduced costs — You don’t need to host the infrastructure or pay personnel.
Pay as you go pricing — You pay for only what you use.
High availability — TaaS providers typically offer 24/7 service.
Webomates Testing-as-a-Service is near effortless to deploy. Take a look at this animation and know the three easy steps you can take to AI automate your application.
Scale on Demand
We Test as you Develop. Using its advanced AI, Webomates CQ creates up to 2,000 test cases in 4 weeks that are relevant, appropriate for the existing release and will be relevant for the new release and software version. What usually takes others a week, Webomates gives you the results within 24 hours for a full feature testing, and 8 hours for a module testing with healed test cases.
With its self-healing test automation framework, you can dynamically adapt the testing scope to the changes.
To understand the effects that each change is having on the product, they assist you with test insights into the entire CI/CD pipeline and offer advice and tactical advantages to test management.
Defect Prediction
Teams spend enormous amounts of time in diagnosing and triaging automation Pass/Fails defects. One way to mitigate risks and eliminate surprises is by moving the testing towards the early stages of application development. Shift Left Testing with scaled and targeted regression ensures that you test each feature developed and provide quick defect data.
Along with the patented AI-powered Defect Predictor tool, you can identify and generate True Pass and True Fail reports with the development team along with an in-depth analysis of automation failures. This helps in reducing their triage time drastically. This shifts the gear from last-minute testing to early defect identification and resolution, thereby rapidly speeding up the time-to-market for every release!
You can also Go exploratory — A place where no scripted test has gone before! It helps you to pinpoint how a feature works under various conditions.
Walking the Talk : The Webomates Cloud Testing Platform
Organizations that use cloud testing have the capability to integrate intelligence into the applications throughout the software development lifecycle, decreasing the number of defects and increasing business productivity of developers. You can achieve outcomes faster and free up your resources for more revenue generating tasks by moving to intelligent testing solutions.
Webomates is committed to helping you test faster and better!
Success Factors Achieved by Companies with AI driven Cloud Testing
Webomates — a cloud-based testing service, powered by a range of patented AI-infused tools offers quality testing services with defined differentiators that none of the current testing providers can match. It acts as a one-stop shop for all your testing requirements. It provides you real-time visibility into the testing data, results, performance and artifacts along with the following benefits.
Along with AI Automation testing capabilities, you can also be audit-ready at all times. Explore how we helped TMRW get FDA compliant with our audit capability along with the other key solutions!
Check out our other success stories and find insights into how Webomates AI automation testing solutions have helped teams and organizations go to market more quickly and exponentially improve their customer satisfaction!
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