Systems | Development | Analytics | API | Testing

In a business environment where automation is becoming increasingly essential, understanding the trajectory of robotic process automation (RPA) is more important than ever. But what exactly can we expect from the future of RPA in 2024? How will the bots themselves change? How will the market change? And what will these changes mean for buyers? In this post, we’ll look at the changes you can expect to see in RPA this year.

Picture it with me: a time when you were a child and someone read your favorite story to you, or when you were an adult and you read someone their favorite story. I want you to focus on the emotions remembering that experience generated. Personally, I thought about reading the book, “Guess How Much I Love You,” to my daughter when she was young and how she would sit on my lap and hang on to every word.

The software testing market continues to grow, with a projected CAGR of five percent through 2027. With growth comes change, and the software testing landscape is poised to see significant changes this year. New technologies, evolving customer expectations, a global audience, and diverse devices are shaping a challenging environment for software quality assurance (QA) teams, who must maintain high quality without slowing down release rollouts or affecting the customer experience.

In the Open Banking ecosystem, Kong Gateway emerges as a pivotal tool. It ensures that financial institutions can comply with stringent regulatory standards and leverage the opportunities presented by this new, data-driven landscape. This article will cover an in-depth look at the open banking landscape. In the Open Banking ecosystem, Kong Gateway emerges as a pivotal tool.

For QA testers, success boils down to delivering a seamless user experience. And though it may seem like a small step in the software testing process, assertions play an essential role in confirming the accuracy of expected outcomes, validating conditions, and fortifying the overall quality of your codebase. For QA testers running codeless tests, there are a few important fundamentals regarding testing assertions with Ghost Inspector.

Microservices architecture has gained significant traction due to its ability to break down monolithic applications into smaller, independently deployable services. However, the benefits have often been lop-sided. While backend developers have realized numerous advantages, frontend adoption has been held back by tight coupling, slow development cycles and scalability issues. Microfrontends have emerged as a solution to these challenges by applying microservices principles to the frontend.

In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Ivan Lemeshev, Senior Software Engineer at Unity.

As described in our recent blog post, an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

Learn how to create and measure the performance of clustered tables and materialized views using BigQuery.

How to use modular architecture and pre-built connectors to enable chatbots, code generation and more.