I’m excited to announce that Confluent has acquired WarpStream, an innovative Kafka-compatible streaming solution with a unique architecture. We’re excited to be adding their product to our portfolio alongside Confluent Platform and Confluent Cloud to serve customers who want a cloud-native streaming offering in their own cloud account.

Mobile apps are the key to business success, accounting for a quarter of companies’ revenue, according to Kobiton research. However, 75% of companies report that slow app releases cost them over $100,000 annually, making efficient and timely app testing essential. These statistics call for complete native app testing, which involves testing apps built specifically for a certain operating system.

SaaS is quickly becoming one of the significant industries for business growth and a primary force that drives the development of companies in the modern world, and the market is expected to reach $462 billion by 2028. Its popularity comes from the fact that applications may be accessed via the Internet without the bother of installation or regular maintenance. It's cloud-based, doesn’t need hardware, and updates automatically, making it a game-changer for companies.

Test automation involves software tools and scripts to execute tests automatically without manual intervention, which accelerates testing cycles, enhances accuracy, and minimizes human errors. Artificial Intelligence (AI) includes machine learning, natural language processing, and computer vision. These systems simulate human intelligence, enabling machines to learn from data, make decisions, and solve problems autonomously.

I shouldn’t have to convince anyone that Apache Kafka is an incredibly useful and powerful technology. As a distributed event streaming platform, it’s adept at storing your event data and serving it up for downstream consuming applications to make sense of that information––in real time or as close to real time as your use case permits. The real beauty of Kafka as a technology is that it can do it with very little effort on your part. In effect, it’s a black box.

Learn about some of the top mobile testing tools and frameworks available, including how you can leverage them to improve your app quality and deliver exceptional customer experiences.

According to Gartner, 87% of organizations are classified as having low business intelligence and analytics maturity, meaning they struggle to extract value from their data. This alarming statistic highlights a common struggle—turning raw data into actionable insights. Product teams often find themselves overwhelmed by the sheer volume of information they collect. Extracting meaningful patterns, deciphering user behavior, and predicting market trends from this sea of customer data can seem daunting.