Uncover the potential challenges of managing microservices and how multi-protocols APIs can help address them.

Transform the way you identify and resolve issues across the software development lifecycle. Learn how Sauce Labs Error Reporting and Insights advanced filtering and grouping can help you to find and resolve failures in your test suite and errors in production faster! Reduce toil and allow engineering teams to focus on innovation while ensuring efficiency across both testing and production phases. Identify Root Causes Faster: Streamline root cause analysis, allowing your team to quickly address the most pervasive issues and reduce the burden on engineers.

In software development, it doesn’t matter who found the bug or who’s responsible for fixing it. What matters is that the product works. @Veronika Takmazyan shares a real-world example from their team’s work on a @Salesforce hybrid app, where ownership and collaboration are essential. Whether it’s web views or native elements, the goal is clear: deliver quality at every step, no excuses. Watch the latest episode of Test Case Scenario to learn more about how embracing responsibility across teams ensures that quality isn’t just an afterthought—it’s built into every release.

Discover key best practices for testing on the new iOS 18. From reviewing release notes to ensuring compatibility with small-scale rollouts, this video covers a few essential strategies to help your app succeed on the latest platform.

When it comes to automation, what you choose to measure can make or break your team’s quality efforts. Focusing too much on one KPI, like automation coverage, can actually hurt the quality of your tests—and vice versa. Before diving into automation, @Chris Wallander suggests a simpler and often overlooked approach. Start with requirements coverage. If you haven’t documented and tested against your requirements, you’re flying blind until something breaks in the real world.

What does the rise of data streaming mean for software and data professionals? A once-in-a-generation paradigm shift is giving rise to a brand new role: the Data Streaming Engineer. Come hear from your fellow technologists how this new role is bringing together the work of application developers, data engineers, data scientists, and architects, and how it might describe the work you're already doing. Along the way, we'll get a survey of the current state of the technologies underlying the emerging Data Streaming Platform, and how you can prepare to use them in the coming year.

Get ready to dive into the future of data! Jay Kreps and Confluent's top minds are set to reveal the next game-changing evolution of data infrastructure that effectively leverages AI and ubiquitous automation. Discover how leaders in professional services, media, and automotive industries are harnessing the power of Confluent's Data Streaming Platform and Data Products to revolutionize their operations. This is your chance to see how real-time data is driving innovation, transforming decisions, and propelling businesses into the future. The future is here—let's ignite it together!

This is a one-minute video showing an animated architectural diagram of an integration between Amazon DynamoDB and Confluent Cloud using Kinesis Data Streams and the Kinesis Data Streams connector. It’s a fully managed and serverless solution that reduces operational complexity and leverages scalability and cost-effectiveness.

Ready to future-proof your apps? With the iPhone 16 and iOS 18 here, testing on these new OS and devices is critical. Let’s dive into why?

When you push that code, you’re not just releasing software—you’re putting your reputation on the line. Are you proud of what’s going out the door? @Chris Wallander from @Taxwell throws down a challenge: Quality isn’t just for the QA team—it’s on all of us. Whether you're coding, testing, or managing, if you see something off, speak up. Silence doesn’t fix bugs. But here’s the real question: Is your team talking about quality? And if not, what’s stopping them?