Operations | Monitoring | ITSM | DevOps | Cloud

Beyond the CMDB: How to build an AI-first data strategy to fuel agentic ITOps

The Configuration Management Database (CMDB) has been the backbone of IT Service Management (ITSM) and IT operations for years. A CMDB is a central repository that stores information about IT assets, configurations, and dependencies, enabling organizations to manage their IT infrastructure more effectively.

Build an AI-powered Golang code review agent with CircleCI and GitHub webhooks

Code reviews are a crucial step in maintaining code quality, but many developers find them tedious and inconsistent. What if you could get helpful feedback automatically, as soon as a pull request is opened? In this tutorial, you’ll learn how to set up and integrate an AI-powered code review agent into your Go project. The agent uses the OpenAI API to post contextual suggestions and praise directly on pull requests.

What to Know About How Circuit Boards Are Manufactured Today

Circuit boards are the heart of nearly every electronic device, from smartphones and laptops to medical equipment and automotive systems. These compact layers of interconnected components make modern technology possible by allowing electricity to flow in precise patterns. But while circuit boards appear simple on the surface, their manufacturing process is a complex blend of advanced engineering, automation, and precision.

How AI is Helping Businesses Streamline Website Design Processes

Website design tools powered by artificial intelligence (AI) are redefining digital presence by streamlining development and enabling companies to build stunning websites. These sophisticated technologies let non-designers create professional websites by means of machine learning algorithms optimizing layouts, suggesting color palettes, and knowing consumer preferences. Using content organization and image selection, these technologies help businesses concentrate on building a strong digital presence and enhancing user experiences.

Which AI Service Providers Specialize in Modernizing Business Processes for Large Enterprises?

AI is on every business leader's lips for good reason. This game-changer can help any organization beat the competition and stay ahead of the curve. However, embracing AI is one thing, and implementing it optimally is another. You should welcome a third-party consultant early in your AI adoption journey to determine the most effective strategies to maximize it for modernizing business processes.

7 Generative AI Use Cases for Enterprise Reinvention and Market Dominance

Generative AI has moved beyond early-stage experiments into an emerging driver of enterprise value. By automating complex tasks, personalizing customer interactions at scale, and accelerating innovation cycles, organizations adopting Generative AI (GenAI) see measurable performance improvements. For businesses, the challenge now lies not merely in adoption but in precise alignment of AI capabilities to strategic business goals, driving revenue, optimizing costs, and mitigating risks effectively.

Lumigo Copilot AI Launches to Automate Root Cause Analysis and Remediation

Today, we’re announcing the general availability of Lumigo Copilot, the most intelligent AI-powered observability assistant on the market, built for the complexities of modern microservices. Copilot emerged from a simple realization: Distributed systems produce too much fragmented data across too many layers, making troubleshooting slow, reactive, and deeply manual. Copilot changes that.

Datadog + OpenAI: Codex CLI integration for AIassisted DevOps

We are exploring how we can help on-call engineers troubleshoot incidents more effectively by providing the OpenAI Codex agent with access to real-time observability data in terminals. We've developed an integration and new tool visualizations that connect OpenAI's Codex CLI to the new Datadog MCP server. In this post, we'll share what we've been experimenting with: enabling an AI agent to retrieve production metrics, logs, and incidents from Datadog in real time and act on that context.

Ops Explained: AIOps vs. DevOps vs. MLOps vs. Agentic AIOps

There’s a common misconception in IT operations that mastering DevOps, AIOps, or MLOps means you’re “fully modern.” But these aren’t checkpoints on a single journey to automation. DevOps, MLOps, and AIOps solve different problems for different teams—and they operate on different layers of the technology stack. They’re not stages of maturity. They’re parallel areas that sometimes interact, but serve separate needs.