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Accelerating Cloudnative Development & DevOps

Cloud-native development, and the resultant rise of DevOps, has transformed how software is built, deployed, and maintained. By embracing containerization, microservices, and continuous delivery, organizations have been able to deliver features faster, scale with demand, and recover from failures more gracefully than ever before. Many organizations are adopting these practices to keep up with industry demands and improve efficiency and security. But this speed and flexibility come with a significant cost - complexity.

Azure Integration Services and AI

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.

Why AIOps Needs Agentic AI

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.

Modern E2E Testing with Playwright and AI

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.

The real reason your AI initiatives are failing

AI has made it faster and easier to change a codebase than ever before. But in a system as complex and interdependent as modern software delivery, writing code has never been the biggest challenge. For most teams, the real constraint is getting that code safely into production. So while AI assistants and autonomous coding agents have dramatically accelerated the pace of change, for many organizations those changes are piling up against bottlenecks that were already slowing them down.

8 IT Issues You Can Fix with Pulseway Mobile App

If you have worked in IT for more than five minutes, you know Murphy’s Law: anything that can go wrong will go wrong sooner or later (sometimes at the worst possible time). Systems do not wait for you to finish your coffee, much less for you to get back to your desk. So, yes, we know your pain. That is why more IT pros are leaning on mobile tools–like Pulseway RMM Mobile App–to stay ahead of problems instead of scrambling back to the office or dragging around a laptop everywhere.

How AI Turns Monitoring From "What Now?" Into "What's Next?"

It's 3 AM. Your phone starts buzzing with alerts, and you stumble to your laptop only to be greeted by a dashboard that looks like the control panel of a nuclear reactor in meltdown: Red lights everywhere. Numbers that should be green are decidedly not green. And your brain, still foggy from sleep, is asking the most fundamental question in all of IT operations: "Okay, yes, there's clearly a problem... but, now what?".

The Blind Spots That Haunt Legal IT

In a recent survey, Udacity’s team explored the evolving landscape of AI adoption by asking 2000 professionals (including those in the legal sector) if they used AI. Unsurprisingly, over 90% of respondents said they did. More concerning, 72% of managers reported personally paying out of pocket for AI tools to use at work, introducing uncontrolled risk into corporate environments.

How GenAI is Shaping Elastic Customer Support

Discover how GenAI has accelerated Elastic's customer and support efficiency. Built on Elastic’s Search AI Platform, the Support Assistant delivers self-service in-product customer support and capacity gains within our support function. Julie Rudd, VP of Support at Elastic, shares how it speeds up issue resolution by combining generative AI with Elastic’s deep knowledge base. Hear directly from a support engineer how the Support Assistant streamlines case resolution and helps engineers and customers find answers faster.