Since Adobe introduced the PDF in 1993, this versatile file format has played a key role in the digital revolution. PDFs give us a universal languages across different devices, they support interactive and multimedia elements, and they provide robust encryption. Today, Adobe estimates there are over 2.5 trillion PDFs in existence around the world. It’s fairly self-evident, then, that PDF functionalities are now a crucial part of web application development.

Chaos testing, also known as chaos engineering, is one of the most-used methodology to test the resilience and reliability of systems by intentionally introducing controlled failures. Simply put, the goal is to identify weaknesses and improve a system’s ability to handle unexpected scenarios. Originating from Netflix’s famous Chaos Monkey tool, chaos testing has become a key practice in building robust distributed systems.

Software development is a dynamic field that needs reliable and effective testing practices. Artificial Intelligence (AI) is poised to revolutionize software testing services in this dynamic environment. As 2025 draws near, AI is set to transform quality assurance (QA) by automating processes, increasing accuracy, and boosting software quality in general. In this blog article, the leading AI developments in software testing for 2025 are examined.

For years, Cloudera’s platform has helped the world’s most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, it’s clear that our naming should reflect that shift. That’s why we’re moving from Cloudera Machine Learning to Cloudera AI.

Software development requires a lot of things to be highly optimized due to the sheer number of parts and the interconnected nature of those parts. Making your service seamless, efficient, and scalable requires tooling that is itself seamless, efficient, and scalable. As organizations have moved to adopting microservices and distributed cloud-native solutions, being able to effectively scale resources and the systems which operate upon those resources has been made even more critical.

Though AI is (still) the hottest technology topic, it’s not the overriding issue for enterprise security in 2025. Advanced AI will open up new attack vectors and also deliver new tools for protecting an organization’s data. But the underlying challenge is the sheer quantity of data that overworked cybersecurity teams face as they try to answer basic questions such as, “Are we under attack?”