Systems | Development | Analytics | API | Testing

%term

Kong Mesh 2.7: Leveling Up Usability and Security

Kong Mesh 2.7 is here! And with it come a slew of new features to make our simple and powerful enterprise service mesh even easier to use and more powerful for your particular needs. In this blog post, we'll cover the new features and show how Kong Mesh 2.7 can deliver a superior service mesh experience for your organization.

What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more

To keep up with everything happening in the world of artificial intelligence, it helps to understand and grasp key terms and concepts behind the technology. In this introduction, we are going to dive into what is generative AI, looking at the technology and models they are built on. We'll discuss how these models are built, trained, and deployed into the world.

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.

Episode 7: How to turn data silos into a center of excellence | Trellix

In this episode of the Fivetran Data Podcast, Frank Carotenuto, Senior Director of Enterprise Data Platforms at Trellix, shares his experience leading the organization’s migration to a single data platform from multiple, siloed data marts. His efforts resulted in a new team structure, modern data architecture and a cross-functional center of excellence.

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.

Will AI Replace Software Quality Assurance Roles?

My horse recently had an injury. Initially, we suspected an issue with his hind leg due to prior swelling, but our vet suspected something else. To confirm her assumptions she also used an AI tool called Sleip.AI during the examination, and confirmed the problem in the front leg instead. This AI tool didn’t replace her expertise but accelerated her diagnostic process, showcasing how AI augments rather than replaces professional judgment.

Balancing Speed, Quality, and Maintainability in Test Suite Management

A test suite is a collection of test cases, test scripts, and test data that are used to validate a specific aspect of a software application or system. It serves as a critical component of the software testing process, ensuring that the application meets the required quality, functionality, and performance standards. A well-structured test suite plays a vital role in identifying defects, bugs, and inconsistencies, enabling developers to make necessary improvements and enhancements.

Key Takeaways From Speaking With 40+ Employee Benefits Experts

The buzz around digital transformation and the shift toward an API-first approach is prevalent in today’s Employee Benefits industry. However, after engaging in over 30 detailed conversations with industry professionals over the last three months, it has become clear that the reality on the ground diverges significantly from the prevailing discourse. Throughout 2023, I observed a notable increase in the number of companies within the Benefits space using our integration platform.