Measuring the success of quality assurance (QA) and software testing can be a complex task that requires going beyond surface metrics. It’s a nuanced process that needs an in-depth understanding of how every decision and action your team takes translates into tangible benefits for the product, the team, and, ultimately, the end-users. However, with so many data points available, identifying which metrics truly matter can feel like finding a needle in a haystack.

According to Gartner’s prediction, 90% of organizations will consider information the most valuable asset a business may have. And where does this information come from? Here’s a magic word – data. Even though many companies report making important decisions based on their gut feeling, 85% of them would like to improve the ways they use data insights to make business decisions.

Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Microsoft Fabric offers a unified platform for data engineering, science, and analytics, integrating data from Power BI, Azure Synapse, and Azure Data Factory, and using open storage for accessibility and portability.

Selecting the right API manager is critical for effective API lifecycle management. These tools, known as API managers, not only streamline the entire process from design to deployment but also bolster security and performance. This guide cuts through the noise to help you understand the essentials of API management and introduces you to the top tools excelling in the field in 2024, to equip you with the knowledge to choose the optimal solution for your business.

We consistently hear from engineering leaders that automated test maintenance is a painful, mindless exercise that takes too much time away shipping code — the main goal of any startup software team. Our vision is to deliver end-to-end test automation that requires no maintenance from your team. With that in mind, we’ve designed Rainforest as an intuitive, no-code platform that anyone can quickly use with no training. This has been an important — but insufficient! — step.

The latest automation trends are paving the way for what Gartner defines as "hyperautomation"—the philosophy that everything that can and should be automated will eventually be automated. However, many businesses seeking to harness the latest automation technology don’t know where to start. This blog highlights five timely trends in automation that should be on your digital transformation roadmap in 2024.

IoT startups serve various purposes such as increased performance, security, comfort, and entertainment. However, implementing IoT projects requires a mix of skills, knowledge, and technologies, including hardware, software, cloud computing, networking, and analytics. Of course, a key element of anу IoT solution is to pick an appropriate programming language that ensures the interaction between IoT devices and apps, processing, data storage, task execution, and user interaction.

On top of their industry-leading cloud infrastructure, Amazon Web Services (AWS) offers more than 15 cloud-based analytics services to satisfy a diverse range of business and IT use cases. For AWS customers, understanding the features and benefits of all 15 AWS analytics services can be a daunting task - not to mention determining which analytics service(s) to deploy for a specific use case.

Exploratory testing marks the connection where creativity meets discovery. This method isn’t just about ticking off a list; it's about venturing into the unknown, armed with curiosity and a keen eye for detail. It's a journey that's best embarked upon as a team, where each member's unique perspective and expertise illuminate different facets of the software, uncovering insights that might otherwise remain hidden.

Digital transformation is a driving force behind new models and approaches today. Enterprises need to adapt quickly and creatively to reap the benefits of the digital economy. One key aspect of this transformation involves cloud-based SAP testing, essential in building a reliable SAP production and release environment. This insightful blog explores the strengths and capabilities of Cigniti, SAP, and Tricentis, which are vital to ensuring successful large-scale SAP transformations.