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.

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.

Could your Palo Alto firewall do more to protect you against Shadow AI?

In recent months, my conversations with fellow technology leaders have consistently revolved around two key themes: how we leverage AI to drive innovation and efficiency, and how we mitigate the inherent risks associated with AI. However, I’ve noticed a concerning gap – while enterprises are busy strategizing the adoption of AI to enhance productivity, reduce costs, and outpace competitors, very few are addressing how AI is being actively used today by their own teams.

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.