Operations | Monitoring | ITSM | DevOps | Cloud

In this lecture, we compare spreadsheets vs. IT Asset Lifecycle Management (ITALM) software to show why the tools you use can make or break your ITAM strategy. This session will help you evaluate your current approach and understand the real benefits of moving beyond manual tracking. Don’t forget to like, subscribe, and turn on notifications to keep learning how to optimize your IT assets.

Master the complete journey of IT assets – from planning and procurement to deployment, maintenance, and retirement – so you can maximize value, reduce risk, and make smarter IT decisions. In this lecture, we break down the five IT Asset Lifecycle Management (ITALM) phases and explain how each step connects to the bigger picture. This session gives you a clear roadmap of the IT asset lifecycle, so you can see how every stage fits into a seamless management process.

Canvas is an AI-guided workspace inside Honeycomb that combines an AI assistant with an interactive notebook for visualizing query results and traces. You can ask a natural language question about your data and Canvas will immediately start exploring your traces, through multiple queries and other tools, to find the right next steps. Instead of having to write each query yourself, Canvas automatically proposes relational queries, comparisons, and visualizations that explain why an SLO fired or what changed after a deploy.

Gremlin’s Reliability Intelligence helps teams uncover the cause behind failure modes so they can move faster and improve reliability without sacrificing velocity. The new Gremlin MCP Server, part of Reliability Intelligence, gives you new ways to explore your data, giving you access to insights and recommendations to improve reliability and better run your systems using Gremlin. In this webinar, Gremlin CTO Sam Rossoff shows you how to integrate your favorite LLM and use plain language to query data, uncover insights, create dynamic dashboards, and more.

Turns out, this MCP thing is pretty solid. We've built the MCP server to tap into all the different areas of context within Sentry and make it easy to bring these into your editor client to help debug your application. Want to know the most fixable issues in your environment? Easy. Want to see your query performance for your backend? Just ask it.