Systems | Development | Analytics | API | Testing

The latest News and Information on Software Testing and related technologies.

Addressing the Issue of Simultaneous User Service and Email Service Access

Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

Impact of #GenerativeAI in Development and #SoftwareTesting | Navin Nair | #QonfX 2024 #GenAI

In this session, Navin Nair explores the transformative potential of generative AI in software development and testing in this captivating presentation. As the industry undergoes a paradigm shift, Navin unveils how generative AI solutions are revolutionizing the software development life cycle, streamlining processes, and fostering innovation.

GitTogether | Cloud Native Security Landscape | Sangam Biradar

Digital transformation is driving the adoption of cloud-native applications. Cloud-native applications are more complex and pose new security challenges. Organizations need to adopt new security practices to protect their cloud-native applications. Cloud Native Application Protection Platform (CNAPP) is a suite of tools and services that can help organizations secure their cloud-native applications.

A Look at Possibilities of Using AI in #SoftwareTesting | Rahul Verma | #QonfX 2024 #generativeai

In this session, Rahul Verma delves into the possibilities of AI in testing. With the rise of Generative AI, the landscape of testing is evolving rapidly, presenting both opportunities and challenges. Rahul explores the potential applications of AI in testing and discusses where companies are focusing their efforts today, as well as the missed opportunities.

Mastering Microservices and Breaking Up the Monolith

Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

Useful Heuristics for Effective Exploratory Testing

Ever felt overwhelmed by the complexity of the system that you’re testing? Navigating intricate software systems can be daunting, leaving us feeling lost and unsure where to begin. While exploratory testing gives us some degree of freedom to test, we still need some guidance on how to approach those complex systems. This is where heuristics might help by guiding us to efficiently navigate the complexities of software systems and uncover hidden issues.

Test Plan Creation: 4 Best Practices for Success

Effective software testing begins with a well-structured and comprehensive test plan. It serves as the roadmap guiding testing activities, ensuring thorough coverage, and delivering reliable results. In this post, we'll delve into the key points when creating a test plan that sets the stage for successful software testing endeavors.

Have We Already Exceeded AI's Capabilities?

Are we in an AI bubble? We can't stop talking about AI in tech. It's at every conference and in every startup pitch. But is the rest of the world as enamored as we are? In this conversation, we explore AI’s impact beyond the echo chamber of the tech industry. We look at attitudes toward AI in other spaces, from healthcare to finance, weighing the risks and benefits of its application. We also look to the future, questioning whether we’ve reached the limits of AI given compute power constraints.

The AI Financial Bubble Point of View

Are we in an AI bubble? We can't stop talking about AI in tech. It's at every conference and in every startup pitch. But is the rest of the world as enamored as we are? In this conversation, we explore AI’s impact beyond the echo chamber of the tech industry. We look at attitudes toward AI in other spaces, from healthcare to finance, weighing the risks and benefits of its application. We also look to the future, questioning whether we’ve reached the limits of AI given compute power constraints.