Systems | Development | Analytics | API | Testing

The very system designed to keep you comfortable is the same one keeping you trapped. You pay only for rows that change. Simple, right? But the reality is quite different. MAR mechanics are designed to blow up when you scale. You expect to be paying for real data changes but you end up paying for the whole row, regardless of how little data you move on it. It lures you in with simplicity but the underlying mechanics is an alternate reality. Every connection follows its own pricing curve, the costs stop behaving logically, and forecasting your bill turns into a nightmare.

Zscaler's Tiffany Blakeney shares how her team replaced fragmented tools and months-long development cycles with Snowflake's all-in-one AI platform. By consolidating all data, APIs, and AI models in one secure platform, Zscaler reduced campaign creation from months to minutes—and more importantly, gained the trustworthy, governed AI foundation a cybersecurity company demands. Learn how they're using Snowflake's integrated AI capabilities to move from POC to production faster than ever while maintaining the security posture critical to their industry.

Get a quick walkthrough of qTest Manager by Tricentis—the test management platform built for modern QA teams and developers. In this video, you'll see how qTest Manager is structured around four core components: Test Plan – Set up and organize your projects with timelines, releases, and version tracking Requirements – Manage and track requirements directly within your QA workflow Test Design – Build and organize your test case library.

See exactly how QA testers execute manual test cases and report defects directly from qTest Manager—all in one seamless workflow. In this demo walkthrough, you'll see: Test Execution View – Navigate test suites, review test run properties, and launch execution via TestPad Step-by-Step Execution – Walk through individual test steps, log actual results, and mark steps as Passed, Failed, Blocked, or Skipped in real time.

What did Atlassian Team ’26 reveal about the future of software quality and AI-powered delivery? In this recap from the event floor inside the Anaheim Convention Center, SmartBear shares key themes from the event, including Atlassian Rovo, the Teamwork Graph, AI-driven workflows, and how QA teams are adapting to faster, AI-assisted software delivery inside Jira. See quick highlights from the event floor, SmartBear’s latest Zephyr innovations, and how conversational AI and quality intelligence are becoming part of the modern software delivery workflow.