We are humans, and humans sometimes make mistakes. We make hundreds of decisions on a daily basis, and sometimes those decisions are not entirely based on rationality, but on cognitive biases. Anyone, including testers, can be subjected to the trappings of cognitive biases. Those biases are the result of years of evolutionary adaptation, and they allow us to make quick judgements (we all want to survive). However, they usually aren't the best judgements.

As real-time experiences become integral to everyday life and data-driven technologies like GenAI drive the next wave of innovation, one thing is clear: real-time data is the key to enterprise growth. The Confluent OEM Program empowers MSPs, CSPs, and ISVs to quickly unlock new revenue streams by integrating the industry-leading data streaming platform into their customer offerings.

The Q3 Cloud Bundle Launch comes to you from Current 2024, where data streaming industry experts have come together to show you why data streaming is critical today, especially in the age of AI, and how it will become even more important in shaping tomorrow’s businesses. This year’s Current event attracted over 2,500 attendees, both in-person and virtual, and featured 140+ learning sessions by industry experts.

Today, we’re excited to announce the Early Access Program for Confluent for VS Code! Confluent has integrated support for Visual Studio with Confluent for VS Code that streamlines workflows, accelerates development cycles, and enhances real-time data processing, all within a unified environment.

Ingestion and transformation are the primary workloads of real data warehouses.

For historical reasons, we have been using dynamic collection creation. This means that each new event creates a new collection in the database. While this provides some benefits, such as managing permissions on the collection level, it also has many downsides. And because we wanted to future-proof Countly, we decided to make this step and change the model, which will potentially allow us to do more in the future.

Why now is the time for data leaders in financial services to address the challenges of tick data analysis — and how Snowflake can help.

In the business world, gaining the “unfair advantage” often seems like a strike of great luck and timing (think Zoom and the pandemic). But in reality, it’s often the result of deliberate strategies and actions (in Zoom’s case, delivering a superior user experience). One great strategy: getting the unfair advantage through a best-in-class technology ecosystem.

API testing is critical to modern software development, ensuring that applications communicate seamlessly and function as expected. However, setting up testing environments that accurately mimic real-world conditions can be complex, time-consuming, and costly. APIs often change, and dependencies on third-party services or backend systems can delay the development process, making it challenging to conduct reliable tests in real-time.

As software systems grow more complex, ensuring reliable performance and delivering a seamless user experience becomes increasingly challenging. Product teams need the ability to track and analyze system behavior in real-time, allowing them to address issues before they affect users. Product observability offers a proactive approach, enabling teams to gather data, monitor system health, and make informed decisions based on a complete view of both infrastructure and user interactions.