Operations | Monitoring | ITSM | DevOps | Cloud

ilert introduces Agentic Incident Response: Entering the AI-first era

Imagine incidents resolved through insights, not manual investigations. ‍ Picture an incident management future where you're never alone during critical alerts. Imagine your best engineer always available, tirelessly investigating issues, analyzing logs, correlating metrics, checking recent code changes, and delivering actionable insights, instantly. Today, ilert is stepping boldly into this future with our first intelligent agent: ilert Responder.

Tales From the Trench: Building With LLMs and Honeycomb

AI discourse these days is all over the place. Depending on who you talk to, AI’s are absolute flash-in-the-pan junk, or they’re the best thing since sliced bread. I want to cut through the noise, though, and see for myself what someone can do out here on the bleeding edge. Thus, I’m setting myself a challenge: write a usable—and useful—application with Claude Code, from soup to nuts. Here are the rules: With our ground rules established, let’s figure out our app!

The role of network automation in AI-driven businesses

AI adoption is accelerating across nearly every industry. According to McKinsey’s 2025 State of AI report, 78% of organizations now use AI in at least one business function, up from just 55% the year prior. From real-time analytics to generative tools and process automation, AI is becoming a fundamental part of how modern businesses operate and compete.

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.