Operations | Monitoring | ITSM | DevOps | Cloud

Building & Enforcing an AI Policy

Just like "cloud" in years past, the term "AI" has permeated just about every tech space and product. And although AI has plenty of business benefits, there are also plenty of risks in using AI, especially when it comes to sensitive business information. End users may not understand (or care) about the negative impacts of AI, which is where IT comes in. In this stream, you'll learn about how you can build an AI policy that works and how to enforce it so that users actually follow it!

AI SRE Update: Your Feedback Shaped Our Latest Release

A note from Lauren Nagel, Mezmo's VP of Product: At Mezmo, we believe the best observability tools aren't just built for users, they're built with them. Since the launch of Mezmo's AI SRE agent, we've listened and learned from our customers. The feedback and insights have been invaluable in helping our teams refine and enhance the experience. Today, we're excited to share our latest release, packed with improvements and powerful new capabilities that make our AI SRE even faster and more intuitive.

Building AI-Ready Database Operations: A Deep Dive into Maturity and Actionable Habits

Now, we will explore how this foundational strength translates into organizational maturity and lay out the durable operating habits required to bridge the gap between reactive firefighting and strategic performance engineering.

What is a Scam Checker and How Can It Protect You Online?

Here's something that should worry you: online scams are evolving faster than ever before. We're not talking about clumsy Nigerian prince emails anymore. Last year, Americans handed over billions to digital con artists, and those figures? They're accelerating at an alarming rate. The truly frustrating part is that most people only discover they've been victimized after the damage is done.

AI Impact on software engineering (as I see it)

When I first started using AI (Cursor, to be more specific) for coding, I was very impressed to see how it could generate such high-quality code, and I understand why it's now one of the most widely used tools for software engineers. As I continued to use them more regularly, I realized they are far from perfect. Their effectiveness depends heavily on how they are used and the context in which they are applied.

Lightrun Runtime Context MCP | Lightrun

In this video, Lightrun's Moshe Sambol walks you through the power of Lightrun MCP and Runtime Context. A game-changer for AI-assisted development. This integration lets developers debug live issues, inspect real-world variables, and verify fixes across environments, all without leaving the IDE. With Lightrun MCP, you can: Capture live transaction state directly from Staging and Production. Identify root causes using real runtime values, not just static code. Verify fixes instantly without redeploying or context switching.

Observability with AI? Honeycomb with AI!

Since Honeycomb started, it has had a weakness: too many choices. Every field, custom or standard, hundreds of them, all are free to group, filter, and visualize in dozens of ways. Which ones are interesting? Honeycomb exists to help people understand custom software. It doesn’t pretend to know what matters in your application. That’s an interpretive task, not programmatic. Hey, computers can do interpretation now!

The next wave of AI: Open source, robotics & the future of India's tech powerhouse

As we kick off 2026, the tech landscape is being reshaped by the very breakthroughs discussed at Civo Navigate India 2025. This panel, featuring Josh Mesout, Murthy Chitlur, Chirotpal Das and Anjali Batra, laid the groundwork for the AI-driven world we are operating in today. From the rise of agentic AI and small language models to the massive shift toward open-source parity, these experts didn't just discuss trends; they provided the blueprint for building resilient, sovereign, and scalable AI infrastructure in India.