Operations | Monitoring | ITSM | DevOps | Cloud

AI for Network Leaders by Selector - Strategic Imperatives in an AI World by William Collins

Strategic Imperatives for Infrastructure Leaders in an AI-Enabled World William Collins, Director of Technical Evangelism at Itential, explores the strategic imperatives facing infrastructure leaders in today’s AI-enabled world. He unpacks the Gartner Hype Cycle, the true monetary costs of network downtime, and shows how Itential + Selector can close the loop on AIOps with autonomous agents and MCPs.

AI for Network Leaders by Selector - Building Your First RAG App by John Capobianco

Building Your First GenAI RAG Application John Capobianco, Head of Developer Relations at Selector, walks through a 6-step process for building your first GenAI RAG application. From foundational building blocks to the path toward full AI agents, RAG remains a powerful tool with huge ROI. Even in a world of autonomous agents and MCPs, RAG is still one of the best ways for network engineers and IT leaders to query dozens of sources and unlock real value.

AI for Network Leaders by Selector - AI Agents and MCP by John Capobianco

AI Agents & Model Context Protocol John Capobianco, Head of Developer Relations at Selector, dives deep into AI Agents and the Model Context Protocol (MCP). In this session, John demonstrates Selector MCP in action — running as a client-server, connecting multimodal inputs, and even talking to Selector using microphone + TTS audio via Gemini CLI. He also showcases Sebastian Maniak’s Claude Desktop integration, where Selector MCP powers a chatGPT-like UI for network engineers. A practical look at how MCP is transforming AI into a true digital co-worker.

Qovery the new standard for DevOps automation

Qovery is a DevOps automation platform that lets developers deploy and scale applications on their cloud by simplifying and automating infrastructure so tech teams can focus on what matters most: building great products. Designed for modern and innovative companies, Qovery delivers the ease of a PaaS with the flexibility and control of your own cloud. Qovery takes the toil out of DevOps, freeing engineers to focus on what matters, while providing a refined experience and full control at every stage of scaling.

Announcing Scout's MCP Server for AI-Native Monitoring!

We’re excited to introduce the Scout Monitoring MCP Server — a new way to bring AI-native monitoring directly into your coding assistant. Instead of flipping between dashboards and logs, the MCP (Model Context Protocol) server surfaces performance data, errors, and slow endpoints right where you work. Ask plain-language questions like “show me the latest five errors” and get answers grounded in live telemetry. You can even let your coding assistant propose and push fixes!

Debugging Microservices in Production with Distributed Tracing

Your production checkout flow just started returning 500 errors. Six microservices handle checkout. Logs show errors in three of them. Which service broke? Which error happened first? What caused the cascade? Traditional debugging doesn't work. You can't attach a debugger to production. Searching logs across six services gives thousands of lines with no obvious connection. By the time you correlate timestamps and trace IDs manually, customers have abandoned their carts.