Operations | Monitoring | ITSM | DevOps | Cloud

How Redgate's Foundry is Shaping the Future of Database Innovation with AI

Learn how Redgate’s Foundry drives AI innovation in database management - from intelligent monitoring and ML-based automation, to smarter SQL optimization. In today’s rapidly evolving database landscape, innovation is essential. With the rise of artificial intelligence (AI), machine learning (ML), and automation, database management is undergoing one of its most significant transformations in decades.

LLM Observability Explained: Prevent Hallucinations, Manage Drift, Control Costs

Large Language Models (LLMs) are transforming how businesses interact with users, automate workflows, and deliver insights in real time. But as powerful as these models are, running them at scale comes with unique challenges, from hallucinations and latency spikes to cost overruns and user trust issues.

Bridging the Language Gap: AI Tools That Humanize Technical Content for Global Teams

Working on a global team can be exciting. You get to collaborate with people from different cultures, time zones, and perspectives. But it also comes with challenges-especially when technical content doesn't translate well across languages. A single unclear instruction in a manual or a misinterpreted email can lead to delays, extra meetings, or even costly mistakes.

[WEBINAR] From Blueprint to Production: A Live Workshop for Creating an MCP Server for Kubernetes

In this hands-on workshop, we covered how to build your own MCP server from scratch and connect it to AI tools like Cursor IDE or Claude Desktop. The first half is a live coding session you can follow along with to set up an MCP server for Kubernetes troubleshooting. In the second half, we take you behind the scenes at Komodor to show how we built our MCP Server MVP: a powerful bridge between AI assistants and Kubernetes infrastructure. This is just part of the 'magic' that helps the Klaudia agentic AI technology power Komodor's AI SRE Platform.

AI Boom or Bust Session 3: Real-World Use Cases You Can Deploy Today

You’ve seen the vision. You’ve built the blueprint. Now it’s time to put AI to work. In this fast-paced, tactical session, we’ll showcase real-world MSP AI implementations — what’s working, what’s not, and how to adapt these examples to your own business.

7 ways AI agents are transforming software delivery

For most teams, the slowest part of delivery isn’t writing code, it’s everything that happens after: automated tests, manual reviews, bug fixes, final approvals, and the long wait for deployment. The longer these phases run, the more expensive and painful late fixes become. As AI makes it easier to generate code at scale, those bottlenecks only get bigger.

Honeycomb Observability Day SF - Kesha Mykhailov, Fin.ai: Human-Centric Observability in AI Systems

Empathy is one of the superpowers of modern teams, especially when building tools that interact with humans. This talk by Kesha Mykhailov tells the story of Fin, Intercom's Customer Support agent, and how they transformed their approach to Fin's.