Is AI Testing the Future of Software Quality Assurance?
Explore how AI-driven software testing improves QA with improved test efficiency, accuracy and cost-reduction. Dive into key insights from.
Read moreOne of the leading telecommunications equipment manufacturers that has a product portfolio of converged mobile devices such as smartphones and tablets, wireless accessories, end-to-end video and data delivery, and management solutions.
Client had a legacy application, which had multiple performance issues due to poorly designed interfaces and lack of a stable framework and effective design. Moreover, any code change made in the production system resulted in a delay in deployment.
Quinnox migrated the legacy application to a highly available and scalable AWS Cloud and leveraged Infrastructure as Code using AWS Cloudformation, which enables clients to set up a highly available three tier environment in just one click.
The application was redesigned using the latest technologies, leveraging the Agile Scrum development methodology.
Quinnox resolved app performance issues by optimizing the database queries. The team also implemented DevOps (automated test-build-deployment) to ensure Continuous Integration (CI) and Continuous Delivery (CD), and provided test automation services.
Explore how AI-driven software testing improves QA with improved test efficiency, accuracy and cost-reduction. Dive into key insights from.
Read moreDive into best practices for implementing automated penetration testing to enhance speed, scalability, security, and cost-effectiveness. Read the Forrester.
Read moreDiscover essential strategies to create high-quality, structured & accurate AI-ready data tailored for AI applications. Get insights from Gartner.
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