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The performance of your AI applications depends on your underlying infrastructure. Whether leveraging high-performance GPUs, accelerators, or CPUs, AI workloads require high-performance hardware. With a range of different GPUs and accelerators available, choosing the best one for your specific workload is critical. On top of selecting the best GPU for your workload's needs, efficiently running AI workloads in production and at scale is a challenge.

Today’s application development requires today’s test data management best practices. This is especially true for organizations embracing cloud-based application development. So, what can you do to improve your test data management practices? Start here, with our top best practices for test data management.

Keeping your API documentation accurate and up-to-date can be effortless with automation. Automatic API documentation updates use tools like Swagger and Postman to sync documentation with API changes in real time, saving time and reducing errors.

You set bold goals at the start of the year. Your leaders set a company-wide revenue goal and each team has goals to contribute to it. To make it trackable and achievable, you break them down into quarterly or monthly targets. Your planning is done, and everyone’s excited. But by month three, you don’t know if you’re trending in the right direction or off-track. Your goals are buried in spreadsheets, forgotten in meetings, and difficult to track. Sound familiar?

We recently interviewed 1,400 QA professionals in the State of Quality Report 2025 to arrive at these test automation statistics for 2025. 72% of them have up to 10 years of experience, and 16.2% of them have from 6-9 years of experience. The topics we surveyed include: Here are some notable statistics from the survey: Here are some more insights you may find valuable: Find these insights fascinating?

You didn’t become a developer to spend hours hunting down missing messages, or debugging consumer issues. Yet here we are. Valuable dev time evaporates as you wrestle with Apache Kafka, or wait for a central team to unblock you, when you should be finding, prepping, and shipping streaming data in minutes. Lenses Community Edition tackles these everyday frustrations.

With native Flutter integration test support, Sauce Labs continues to provide expanded testing capabilities for modern mobile development teams.

DreamFactory is back with a game-changing update—DreamFactory v7! This release introduces powerful new capabilities, improved performance, and enhanced security, ensuring that developers and businesses can manage their APIs more efficiently than ever.

Test automation has become a critical component of modern software development. However, choosing the right automation strategy can be challenging, as different approaches offer varying benefits depending on project needs and team expertise. Two widely used methods in test automation are data-driven testing and keyword-driven testing. Both approaches aim to enhance test execution by making tests more reusable, scalable, and maintainable, but they differ in their implementation and use cases.