Systems | Development | Analytics | API | Testing

Struggling to prioritize which tests to fix or discard? @Titus Fortner shares how analytics can help you sort through failures and make impactful decisions. Not all failing tests are created equal—some need fixing, while others are better off gone. Here’s how to use analytics for smarter test management: Learn how to streamline your test suite with the right analytical tools in this episode of Test Case Scenario.

Everyone's juggling multiple cloud and on-prem solutions. How do customers balance cost, security, and governance across them all? Cloudera powered by Red Hat Enterprise Linux provides a seamless solution by offering the efficiency and security customers need in a data platform to optimize their hybrid environment.

Setting up network connections can often seem difficult or time consuming. This video provides a wayfinding introduction to help you get networking up and running for all cluster types on Confluent Cloud, showing you your networking options for each cluster type when running on AWS, Azure, or Google Cloud, respectively.

Is your test suite running as efficiently as it could? @Titus Fortner explains why the number of tests isn't always the problem—it's the value they bring. Deleting tests that constantly fail and don’t provide useful data can significantly reduce your total execution time. Here's what to consider when refining your test suite: Ready to make your test suite more efficient? Watch this episode of Test Case Scenario to learn more.

Join us for another enlightening session in our Weekly Walkthrough series, "FinOps Metrics That Matter," where we focus on the critical aspect of rightsizing your Snowflake infrastructure for optimal performance and cost-efficiency. Achieving the right balance between performance and cost is paramount. However, a striking 80% of data management experts grapple with precise cost forecasting and management (Forrester). The primary culprits? Insufficient granular visibility, data silos, and a lack of AI-driven predictive tools.

Companies have access to more data than ever before – according to IDC, worldwide data will grow 61% by 2025. However, when it comes to adopting AI, there is a difference between companies who merely have internal data and those who have precise, accurate data. The first step to delivering trusted AI is having the right type of data. R "Ray" Wang, principal analyst and founder of Constellation Research, joins The AI Forecast to discuss the value of precision data as we enter what he calls “the dark ages of data”.

In this short video, a Confluent Solutions Engineering will run through the high-level steps on how to get started with your migration. And even better, once you’re done watching, you can download our comprehensive migration kit for a step by step guide of everything I’ve talked about and more.

The team is thrilled to welcome back Leandro Melendez, aka Señor Performo, for his second appearance on the show! Last time, it was all about performance testing, but now, Leandro is here to explore the powerful combination of performance testing AND exploratory testing. With nearly 20 years of IT experience and a decade dedicated to performance testing using top-tier tools like Roller, NeoLoad, and more, Leandro shares his insights on.

To accelerate development, organizations need to supercharge more users to immediately discover and collaborate on relevant data, apps, and models. At the same time, organizations must ensure the platform they work on is secure and that the right people have the right access. Protecting sensitive and/or Personally Identifiable Information (PII) is critical. The Snowflake Horizon Catalog provides built-in governance and discovery for the AI Data Cloud to make all of this easy.