Operations | Monitoring | ITSM | DevOps | Cloud

Modal scales the next generation of AI with unified observability from Datadog

Modal is an AI infrastructure company rebuilding the cloud for AI, giving developers easy access to the compute needed to build and scale AI applications without managing the underlying complexity. Operating across more than 20 cloud providers and launching approximately 26 million containers daily, Modal relies on Datadog to unify observability across its infrastructure, applications, networking, and CI—helping its engineers detect 99% of incidents within five minutes, resolve 96% of issues before customer impact, and confidently scale one of the world’s most complex AI platforms.

Internet Is Lagging? How to Find the Cause and Fix It

The speed test shows 500 Mbps. Yet Microsoft Teams calls keep turning into people talking over each other, the CRM pauses on every click, and remote employees are opening tickets because the Internet is lagging. Nothing looks broken, which is exactly what makes lag so hard to troubleshoot. Why is my Internet lagging? If your Internet is lagging, your connection is slow to respond, not necessarily slow to download.

Harness Cost Management Agent | How to Set and Enforce AI Spending Budgets

Control AI spending across your organization with Harness Cost Management Agent's AI User Budgets. In this demo, see how Harness helps teams set, monitor, and enforce AI spending limits across tools like Claude, Cursor, and Amazon Bedrock, all from one centralized control plane. What you'll learn: Set weekly AI spending budgets for users and teams Track AI consumption across multiple tools and models.

Enterprise Vibe Mode: Deploy AI-Built Apps to Production | Harness Demo

Vibe coding makes building applications easier than ever. But how do you take an AI-generated app and safely deploy it to production? In this demo, see how Harness brings Vibe Mode to the enterprise, allowing anyone to deploy applications while automatically applying your organization's security policies, governance, compliance requirements, and deployment configurations. See how Harness enables teams to.

The Auvik Spring 2026 roadmap

Our Spring 2026 product roadmap is built around the idea that AI network management should start with what’s actually happening on your network, not a blank prompt. Over the past six months we’ve built Auvik AI into alerting, troubleshooting, the remote terminal, and Command Runner. We’ve also added, faster fixes for servers and workstations, and a ServiceNow CMDB integration. We walked through all of this, plus what’s coming next, in our Spring 2026 roadmap webinar.

Cloud Cost Optimization in 2026: 10 Levers That Cut Your Compute Bill

Most cloud compute waste comes from paying for capacity your workloads do not use: over-provisioned requests, idle nodes, standby capacity, and per-service add-ons. The biggest savings come from changing how capacity is reserved and packed, not only from discounts or dashboards.

The 10 Best MCP Servers for DevOps and Cloud Infrastructure in 2026

The best MCP servers for DevOps depends on what you want an AI assistant to do: read code and pipelines, plan infrastructure as code, call one cloud’s APIs, observe production, or deploy and operate workloads. The safest setups combine scoped permissions, a read-only mode for investigation, confirmation before destructive actions, and an audit trail of every change.

Introducing Qovery Training: Learn the Console by Doing, Before You Touch Production

Qovery Training is now generally available to every Qovery customer. It is a sandbox copy of the Console on fake data, with 18 tracks for software engineers, DevOps, platform and security teams, a simulated terminal and AI agent, and training spaces where admins pick the lessons and follow their team's progress. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.