Operations | Monitoring | ITSM | DevOps | Cloud

Meet Rovo Chat in Bitbucket: your AI-powered teammate

We’re excited to announce that we are starting a phased rollout of Rovo Chat in Bitbucket Cloud today! It will be available to 100% of users by September 30th, 2025. To check if it’s available on your account, look for the Rovo Chat button in your top navigation. Rovo is Atlassian’s AI-powered teammate that helps you find what matters, learn faster, and take action right in your workflow.

License Plate Recognition: How AI is Transforming Traffic Management

Traffic today is a mix of chaos and opportunity. With cities growing denser and cars filling up every available lane, managing traffic efficiently is more crucial than ever. That's where License Plate Recognition (LPR) steps in-powered by artificial intelligence, it's changing the way we think about traffic management, parking operations, and public safety.

AI Assistants: Revolutionizing How We Work, Learn, and Live

In today's fast-paced digital world, artificial intelligence (AI) is transforming industries and reshaping the way we interact with technology. Among the most impactful AI innovations are AI assistants, virtual tools designed to help users streamline tasks, improve productivity, and enhance decision-making. These intelligent assistants are no longer just futuristic concepts; they are real, practical, and accessible to individuals and businesses alike.

7 Best AI Voice Tools Every Online Educator Should Try

Online education has grown rapidly in recent years, making it easier for teachers, trainers, and course creators to reach learners across the globe. But with this growth comes a new challenge: how to keep students engaged in a virtual classroom. One of the most effective ways educators are addressing this is by using voice tools. These tools allow teachers to create professional-quality voiceovers, enhance presentations, and make learning more interactive.

Skywork AI: Revolutionize Your PPT with Cutting-Edge Tech

Skywork AI transforms how U.S. professionals build presentations. Start with a concept, and the platform scans millions of documents to produce fast, source-backed summaries and polished slide drafts. This cuts research time and helps teams move from idea to stakeholder-ready decks in hours rather than days. Executives, analysts, and students benefit from a single workflow that creates outlines, slides, and final reports. The models draw on an open-source lineage and 3.2TB of multilingual and code training data, giving breadth for complex topics.

Introducing Cortex MCP in Devin: AI Engineering Guided by Your Best Practices

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.

AI in Server Monitoring: Why Human Context Still Matters in 2025

When Microsoft rolled out Windows Server 2025 last November, it marked a turning point in how IT teams think about monitoring. Suddenly, AI-powered features like anomaly detection, predictive resolution, and even self-healing aren’t ideas on a roadmap — they’re built into the very fabric of enterprise infrastructure.

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.

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.

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.