Operations | Monitoring | ITSM | DevOps | Cloud

ManageEngine named in the 2025 Gartner Magic Quadrant for AI Applications in ITSM

We're proud to announce that ManageEngine has been recognized in the 2025 Gartner Magic Quadrant for AI Applications in ITSM. This recognition comes after Gartner's comprehensive evaluation of our Completeness of Vision and Ability to Execute. We believe this recognition reflects our commitment to making AI-driven ITSM cost-effective, easy to implement, and scalable to meet modern enterprises' growing needs.
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Implementing Agentic AI: A Technical Overview of Architecture and Frameworks

As businesses strive for smarter, faster operations, Agentic AI redefines enterprise operations, introducing solutions for autonomous decision-making and tackling complex challenges with precision. Agentic AI introduces an intelligent, enterprise-focused approach to enhancing operational efficiency and adaptability, paving the way for innovation. Its ability to support operational scalability and streamline workflows positions it as a vital tool for modern IT ecosystems.

AI's Impact on Software Devs Productivity & Downsides

AI is boosting flow, job satisfaction, and productivity for devs. But here’s the twist: it’s not actually giving us more time to do valuable work. In his GitKon talk, Nathen Harvey digs into the real impacts of AI adoption in technical teams. Yes, AI reduces toil and improves satisfaction. But it also shifts how we spend our time and sometimes that means less “valuable work” gets done. So the question becomes: how can we use AI not just to work faster, but to work better?

The AI Cost 'Black Box' - And How CloudZero Provides Clarity Into Spend

AI adoption continues to explode, and so do their costs. By mid-2025, enterprise LLM spend had already hit $8.4 billion, more than double the year before. And in a major shift, Anthropic recently overtook OpenAI as the enterprise leader. Their Claude models are now core tools for companies adding generative AI technology into their products and workflows. CloudZero recently announced we are the first cloud cost platform to integrate with Anthropic.

Troubleshooting Microservices with AI

Ever found yourself saying, "But it works on my machine!" when a bug pops up in a microservices environment? It's a common and frustrating problem. Unlike a monolithic application, microservices are a collection of independently deployed services that communicate with each other. This complexity makes it difficult to reproduce real-world issues on your local machine, as you may not have all the necessary services and dependencies running. But what if you could take a snapshot of a running application's behavior and bring it home for debugging?

Starting from Scratch: How Beginners Can Quickly Create High-Quality AI Artworks with arting.ai

With the rapid advancement of artificial intelligence technology,AI art creation has become a significant trend in the digital art world. Many beginners often wonder how to quickly get started and produce high-quality AI artworks. As a user-friendly and powerful AI art generation tool,arting.ai is designed to lower the entry barriers,allowing users with no drawing background to easily create stunning works. This article will walk you through the full process,from registration to generating finished art,complemented by simple tutorials and practical tips to help AI art beginners get up to speed quickly.

AI Advertising Tools Easy for Beginners and Professionals - Practical Guide to Admaker.ai

In today's increasingly complex and competitive digital marketing landscape,creating compelling advertising content is a significant challenge for many marketers. Whether you are a beginner just starting out or an experienced professional,everyone is looking for a tool that simplifies the creative process and boosts efficiency. AI Ad Generator - Admaker.ai is precisely such an intelligent and user-friendly AI advertising platform that helps users instantly generate high-quality ad materials with very low barriers to entry.

You Don't Need a Five-Year AI Plan. You Need a Five-Week One.

In my travels, I constantly hear about plans that promise to “unlock the full power of AI” down the road. The usual advice is to start small with a few pilots, then gradually scale up from there. It looks good on paper, but in practice, it becomes a months-long slog of one-off experiments that burn a lot of capital, but usually generate little impact on their own.

AI's False Efficiency Curve: How To Save And Protect Your Margins

The popular narrative around AI economics is changing. At one time, Moore’s Law conditioned us to expect that smarter, faster computing would steadily get cheaper. When it comes to AI, that expectation holds true at the unit level. Per-token costs are indeed declining. But the number of tokens consumed per task is growing exponentially, making total costs spike. The tension here is important: on paper, inference is getting cheaper.