AT&T ARO (App Resource Optimizer) is a mobile app performance testing tool which analyzes the performance of your mobile applications. Optimizing the app for the issues discovered by ARO can help any mobile app.
The AWS Cost Optimization Practices, with a Well-Architected Framework, provides the design principles and best practices to build and run the systems at the lowest price point. These are the building blocks for AWS cost optimization and this paper breaks it down further and recommends the AWS tools and techniques to achieve the cost optimization goals.Read More
Threaded Chat is designated virtual channel for communication through Internet. Major challenges in this include testing the end to end application, seamless authentication of end user, and others.Read More
XScale provides the ability to easily launch, orchestrate and manage multiple Docker containers as single unit. The combination of Docker, Selenium-Grid, Jenkins and Grafana is used to setup an automated testing reusable infrastructure to make easy to create and use complex multi-node container environments for testing.Read More
Developed an Order Management System (OMS) using the modern technology stack. The OMS is designed to manage large quantum of orders and monitor them through real-time reporting.Read More
Delivered automated testing solutions for our customer’s web and mobile applications. We automated the localization testing for 30+ languages and helped them reduce the manual efforts significantly.Read More
We assisted our customer with SDLC needs including revamping UI, development of custom modules and automate testing. Adopted agile model for application development resulting in more standardized execution approach.Read More
Emerging technologies have brought a paradigm shift in product development. Companies are busy creating cutting-edge, human intelligence-based digital products, which are no longer service-oriented in their approach, but are a service in themselves. The degree of intimacy and innovation seen across the products are facilitating a strong and effective go-to-market strategy.
The automation space today is witnessing a significant reduction in test time and test cycles. Modern technologies like AI, RPA, ML, NLP and Big Data are boosting test capabilities, allowing developers to test without human intervention, resulting in autonomous test automation.
Industrial IoT and AI are coming together to further strengthen the digitization of production processes. Artificial Intelligence of Things (AIoT) is being heralded as the next big discovery of Industry 4.0, conceived to enable connected and intelligent systems to self-correct and heal automatically.
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