Operations | Monitoring | ITSM | DevOps | Cloud

Learn how to launch Ubuntu Pro versions that aren't available in the AWS EC2 quick launch menu. In this tutorial, Carlos Bravo from Canonical's Cloud team walks you through: Key Resources.

Learn how to connect OpenAI Codex to CircleCI so your coding agent can check pipelines, diagnose failed builds, fix bugs, and iterate until your CI pipeline is green. In this step-by-step demo, we walk through how to install and authenticate the CircleCI CLI, install the CircleCI plugin for Codex, validate your CircleCI configuration, and give Codex direct access to CI feedback. You’ll see how Codex can.

The day-to-day strain on resources in IT can cause teams to miss out on key opportunities due to the need to keep putting out fires instead of strategically planning for the future. And when you finally get the chance to hire new people, there’s no bandwidth to properly train them, which means that the ticket backlogs never shrink and senior staff is constantly being pulled into basic tasks that are beneath their skill level.

In this video, you'll learn how to integrate Large Language Models (LLMs) with Site24x7 using Bring Your Own Key (BYOK), Zoho Key Services (ZKS), and Microsoft Azure OpenAI. Discover how Zia helps you analyze outages, understand performance issues, identify root causes, and get monitoring insights using simple natural-language queries. What you'll learn.

New: launch a Claude Code or Codex CLI session straight from the Agents panel. One click → isolated worktree → setup commands run → agent starts. Your other worktrees don't even notice. Parallel AI agents without the chaos. That's code flow.

Claude Code + CircleCI MCP = no more hunting through build logs.

On this episode of Masters of Data, we revisit the predictions Adam White, Zoe Hawkins, and David Girvin made at the end of last year, checking our own scorecard halfway through 2026. The hits: agents running amok and deleting databases, MCP becoming the backbone for tracking what agents actually do, growing security gaps around personal data, and a collective rejection of low-quality AI content. The misses: we underestimated how fast companies would cut staff for AI, then quietly start rehiring once the agents couldn't cover the work, and we're still arguing about whether token burn is a cost problem or a coming attack vector.

AI Incident Prevention from BigPanda stops change-related outages before they occur by leveraging risk scores, trend analysis, and guided remediation steps. Manual IT changes are still a leading cause of IT outages and disruptions. BigPanda AI Incident Prevention addresses this by automatically scoring change requests against historical data, flagging high-risk changes before they go live, and surfacing the recurring problems that cause service degradation.

AI incident assistant from BigPanda gives L2, L3, and SRE teams instant answers to resolve incidents faster without manual triage or tool-switching. IT teams lose critical minutes during incidents because context is scattered across Slack threads, bridge calls, monitoring tools, and historical tickets. The BigPanda AI Incident Assistant fixes that by surfacing relevant knowledge exactly when and where responders need it. It gives responders evidence-based resolution paths drawn from historical incidents and live system data, without leaving your workflows.

Agents are pretty good at fixing your apps. We can make them even better. ​In this workshop we’re going to show you how to give your agents superpowers using Seer, the Sentry MCP server, and CLI tool. Join to learn how to: ​- Teach agents how to best implement and work with Sentry through agent skills and the CLI tool. ​- Set up Seer’s agent handoff feature for Claude, Cursor, or GitHub Copilot and have agents start automatically generating pull requests for fixes.