Systems | Development | Analytics | API | Testing

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.