Systems | Development | Analytics | API | Testing

Feeling like your team is pinning all their hopes on AI and ML to solve every challenge? In this episode of QA Therapy, we're thrilled to have Tariq King, QA Therapist, join us to explore how AI and ML will shape the future of testing. Tariq, currently serving as the Vice President of Product-Service Systems at EPAM, with over 40 research articles under his belt.

When building a distributed system, developers are often faced with something known as the dual-write problem. It occurs whenever the system needs to perform individual writes to separate systems that can't be transactionally linked. This situation creates the potential for data loss if the developer isn't careful. However, techniques such as the Transactional Outbox Pattern and Event Sourcing can be used to guard against the potential for data loss while also providing added resilience to the system.

Tabs or spaces? Merge vs. rebase? Flink SQL vs. KStreams? Let’s Settle This is powered by a new Kafka JavaScript client from Confluent: confluent-kafka-javascript (early access). Find out how Lucia used it to make the website in the video above.

Learn how Zoom built an internal enterprise AI tool that enables sales and marketing teams to directly ask questions to data through natural language. The security and governance of the AI Data Cloud enabled data scientists to confidently leverage its Cortex AI and Streamlit features to build the enterprise AI app.