Operations | Monitoring | ITSM | DevOps | Cloud

Setting Up the GitKraken MCP Server with GitLens

GitKraken MCP (Model Context Protocol) brings repository intelligence directly into VS Code, Cursor, Windsurf, and other AI-powered IDEs so your agent stops guessing and starts understanding your actual workflow. Instead of manually explaining your branch structure or digging through issues in your browser, MCP connects your AI agent to the actual state of your repositories. It understands your branches, your issue tracker, your pull requests, and your commit history—then helps you start work, resolve conflicts, and review code without leaving your editor.

How FinTech Is Pushing the Boundaries of Intelligent Operations

In the last decade, the financial technology (FinTech) industry has evolved from a promising disruptor to a powerful force reshaping global business operations. What began as a wave of startups offering digital payments and online banking has now transformed into a full-fledged ecosystem of automation, data intelligence, and artificial decision-making.

Why Brand Monitoring is Essential in the Age of Programmatic AI

Recently, crowdfunding giant GoFundMe made headlines after (among other things) automatically generating some 1.4 million donation pages for U.S. 501(c)(3) nonprofit organisations. These pages were created without prior consent, using publicly available IRS data and partner-feeds. According to reports, many nonprofits discovered these pages only when alerted by a donor or curious patron; they had no advance knowledge and had to manually un-publish or “claim” the page.

Artificial Intelligence as a Service AIaaS (AIaaS): What is Cloud AI & How Does it Work?

Today, organizations looking to build AI products and services using large language models (LLMs), agentic AI, and generative AI often start by investing in artificial intelligence as a service (AIaaS), also known as cloud AI. AIaaS provides a scalable, flexible, and cost-effective way for businesses of all sizes to access advanced AI technologies without the need for extensive in-house expertise or infrastructure.

Introducing JFrog Fly: The World's First Agentic Artifact Repository

AI has created a paradigm shift in software development. AI-native development teams – from small startups to enterprises like Goldman Sachs and Google – are adopting agentic development tools like Cursor and Copilot to increase the speed of code generation to a pace we’ve never seen before. But with all this new code comes a big challenge: how do you manage all these potential new releases and get the right ones deployed?

Exploring the Future of Agentic AI Insights from Fabrix ai's Upcoming Summit

In this engaging discussion, Bob Laliberte, Shailesh Manjrekar from Fabrix.ai, and Zeus Kerravala from ZK Research delve into the upcoming half-day summit, "Agentic AI Unleashed: The Future of Digital and IT Operations." They explore the critical need for enterprises to operationalize AI effectively, demystifying common misconceptions while addressing the transition from pilot projects to scalable AI solutions. Join them for valuable insights into the evolving landscape of agentic AI and its role in future business operations.

Shadow AI on Trial: The Phantom Threat to Compliance

Every law firm I meet can explain its information security policy in minutes. Far fewer can tell me which AI tools their staff actually used last week, and what data those tools touched. That gap is where Shadow AI sits, such as unsanctioned, unmonitored use of generative AI slips in. It promises speed, but it quietly creates exposure: confidentiality breaches, weak auditability, and a risk to governance when the regulator (or a client’s GC) asks hard questions.

Bring incident response to AI stack with ilert's MCP Server

ilert’s engineering team has developed an open Model Context Protocol (MCP) server that enables AI assistants to securely interact with your alerting and incident management workflows, from determining who is on call to creating incidents. In this article, we provide a simple explanation of MCP, outline the reasons behind our investment in it, describe the high-level architecture, and explain how to connect Claude, Cursor, and other MCP clients to ilert today.