Systems | Development | Analytics | API | Testing

This video briefly describes the Explain-ability data also known as SHAP data. Next video will be released shortly!

The Confluent Q3 ’24 Launch is packed with the new features and tools needed to make stream processing a developer’s best friend. We’re also introducing Client-Side Field Level Encryption, WarpStream, and more! Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.

Integrating TestComplete with GitHub Actions can help you manage and run your tests more effectively and efficiently in a CI/CD environment, all while maintaining robust security and minimizing infrastructure costs.

"Push on green" isn’t about rushing code to production—it’s about smart automation. @David Morgenthaler breaks down how @Indeed balances automation with the need for human oversight: Watch the latest episode of Test Case Scenario to understand why automation and human expertise have to go hand-in-hand for quality software development.

With infrastructure spending rising, optimizing data infrastructure expenses has become a critical priority for business, technology, and data leaders. Join us for an insightful webinar on Mastering Data Infrastructure Cost Management with industry experts Sonny Rivera, CPO at Tifin AG and Snowflake Data Superhero, and Sid Lasley, VP of Solution Engineering at Hevo Data. Discover how to maximise the value of your investments in data infrastructure by navigating the complexities of cost management across multiple cloud service providers.

Is speed more important than quality in software development? While getting products to market quickly is tempting, cutting corners on quality can lead to costly bugs and system failures that may result in a large-scale failure and damage your reputation. The real solution? Investing in more QA professionals to ensure your software is both fast and flawless. QA is not just about finding bugs; it's about ensuring the overall health and success of a software project.

Hosted By: Joe Colantonio, Founder, Test Guild Mac Clark, Senior Solutions Engineer, Sauce Labs Gabe Kaufman, Product Marketing Manager, Sauce Labs Background: Engineering efficiency has never been more important for keeping quality high, increasing time-to-value, and ultimately scale. In this session, we will explore how engineering efficiency plays into a continuous quality strategy while also optimizing CI/CD pipelines.

Watch our online meetup to learn how to implement seamless, secure access, and engage with industry experts. Whether you're a developer or architect, this session will provide valuable insights and practical guidance. Key Topics: Optimizing developer experiences API-driven, app-native/browserless authentication experiences Organization management for B2B SaaS applications Creating frictionless, secure access for your employees, consumers, and business customers.

Shifting left to put more on developers? They you have to find the right balance between automation and simplicity. Otherwise, you'll end up with complexity that slows everything down instead of speeding it up. @David Morgenthaler says tools like static analysis and AI-driven tests are shaping the future of software quality: Watch the latest episode of Test Case Scenario to explore how automation can streamline processes without overcomplicating development. It’s working for @Indeed.

Right now, 88% of companies surveyed are turning to AI to improve bug-fixing effectiveness. Why? Troubleshooting modern data stacks is typically a toilsome and manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive (Gartner). With this in mind, Unravel introduces the new DataOps AI Agent. Learn how this new AI agent enables teams to go beyond observing data pipelines and errors to taking immediate action with purpose-built AI and automation.