Operations | Monitoring | ITSM | DevOps | Cloud

Enhance your Zebra mobile devices with the Zebra Mobile Computing AI Suite, a comprehensive set of advanced AI tools designed to empower frontline workers to perform tasks more efficiently and accurately. This suite includes the AI Data Capture SDK, which offers powerful AI models for a variety of applications. Additionally, solution accelerators with sample applications and APIs are included to expedite the development of AI-driven data capture solutions for enterprise needs like inventory management and price verification. These tools seamlessly integrate into business applications, improving workflow efficiency.

Struggling with integration testing because of a Postgres database dependency? Testing can feel impossible when you need to replicate realistic data in Postgres. That’s where Speedscale’s Postgres Mocking Tool comes in. Speedscale drops a recorder into your live system, observes all Postgres traffic, and shows you the actual sequence of statements and responses—making it easier than ever to test reliably.

Cortex is now in the Devin Marketplace keeping your AI within the guardrails of your org wide best practices With this integration, Devin, the world’s first AI software engineer, can use Cortex data & best practices, like Scorecards, to understand your engineering standards and automatically fix issues at scale. Here’s how it works: Watch the demo to see how Eyal, one of the engineers at Cortex, used Cortex & Devin to turn best practices into action.

Join Mick and Sebastian as they dive deep into the world of enterprise integration, exploring the evolution from BizTalk Server to Azure Integration Services and the growing impact of AI on integration projects. Discover how integration is crucial for breaking down data silos to power AI models, the importance of data privacy and compliance especially in the EU and the challenges developers face in keeping up with rapid technological change.

The AIOps and observability market has always been fragmented—and it’s not by accident. Different domain-specific tools, multiple data types, and reliance on supervised learning created complexity and silos. Now, a new approach is emerging. By placing LLMs at the center of decision-making, Agentic AI has the potential to unify this fragmented space and truly transform AIOps. This clip explains the root of fragmentation—and why the agentic approach offers a way forward. For a deeper dive, visit our website to see how the Fabrix.ai platform is architected to solve the real-time data challenge in AIOps.

Pair Playwright with LLMs to plan, generate, refactor, and monitor end-to-end tests, without shipping hallucinations. This webinar showcases practical workflow: ground models with fresh docs, driving the browser via Playwright MCP, auto-fixing failing tests, refactoring to POMs, add API checks, and reusing the same suite for synthetic monitoring in Checkly. Chapters.