Operations | Monitoring | ITSM | DevOps | Cloud

Sentry 201: Build agentic workflows with the Sentry MCP, CLI and Seer

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.

Amit explains AO

Most enterprises have observability tools. What they often lack is a shared view between application and infrastructure teams. When application performance degrades, finding the root cause can be slow because the data lives in separate silos. Virtana brings application observability and infrastructure intelligence together in a single platform, helping teams identify issues faster, collaborate more effectively, and shift from reactive troubleshooting to proactive operations.

How do you run AI when your data can't leave the network?

Highly classified environment. Strict compliance requirements. Data that can't leave the network. But still a real need for the competitive advantage AI delivers. Civo Director of Enterprise Cloud Solutions John Dietz addresses exactly that challenge and how Konstruct makes it possible to run Kubernetes, deploy your own models, and point Claude Code at your own internal private servers instead of public APIs.

Runtime Aware PR Verifier | Lightrun

Lightrun's Or Golan demos the Runtime Aware PR Verifier, a new Lightrun product that simulates pull requests against live runtime behavior before you merge. Watch use Lightrun to simulate an AI-generated PR, identify the affected production flows, and uncover a hidden risk that static review would miss. Instead of only asking whether the code looks correct, Runtime Aware PR Verifier checks whether the change matches how your system actually behaves in production.

Cut CI Environment Setup Time in Half with Chunk sidecar Snapshots

Waiting minutes for CI feedback while you're building with AI agents kills your momentum. Chunk sidecars snapshots let you freeze your environment after setup, so every boot skips the install and starts from a cached state instead of scratch. In this tutorial, we demo how to set up Chunk sidecars, snapshot it, and boot from that snapshot. We also benchmark the difference: a cold sidecar start took 45 seconds. Booting from the snapshot took 12 seconds. That's 30+ seconds saved on every run, multiplied across every developer, branch, agent, and session.

Why prompt injection gets worse with AI agents?

When AI could only answer questions, a bad prompt just meant a bad answer. But now AI agents read your documents, browse websites, and actually do things on your behalf. So when someone sneaks a malicious instruction into a file or a webpage, the agent doesn't just say something wrong. It does something wrong!

How to Set Up Zebra Scanners Quickly with Simple Setup | Zebra

Setting up new scanners shouldn't take hours or require dedicated IT support. With the Zebra Simple Setup Experience, you can get your devices running in five minutes or less. Simply use your mobile phone to scan the QR code on the packaging or the scanner itself to begin a simple, guided setup featuring clear, visual prompts. No apps, downloads, or technical expertise are required. The smart web workflow asks intuitive yes-or-no questions, automatically helping to troubleshoot common issues and drastically reducing friction during configuration.