Operations | Monitoring | ITSM | DevOps | Cloud

MCP = Observability + Code, a Real-life Example

Our bot is hitting an error. We can see it in the distributed trace. Here, see what happened when we noticed it: Austin fired up Claude Code (hooked up to Honeycomb with its MCP tool) and got it to find the error, fix it, deploy, and check that the fix worked. It got a little overconfident at first, but the ending is happy. IRL this took 22 minutes; the video speeds up the AI agent interactions and cuts out waiting. This video includes Austin Parker, Jessica Kerr, and Ken Rimple.

Top Features of Splunk Observability Cloud for Engineers

In this video we’ll walk you through a demonstration of Splunk Observability Cloud’s key capabilities. You’ll see how you can monitor Kubernetes cluster health in Infrastructure Monitoring, and alert on your services’ health using AutoDetect Detectors and Alerts. We’ll then take a look at traces and metrics in APM, and use Related Content to find correlated log entries of error traces. Then we’ll use AlwaysOn Profiling to troubleshoot long duration traces for our service.

What's Inside InfluxDB 3.1

InfluxDB 3.1 is now available for both Core and Enterprise editions, bringing significant improvements that make managing high-volume, high-velocity time series data even easier, faster, and more secure. InfluxDB 3 Core is the free, open source edition of InfluxDB 3—a high-speed, recent-data engine licensed under MIT and Apache 2. InfluxDB 3 Enterprise is the commercial version of Core, adding support for longer-term historical queries, high availability, enhanced security, and more.

Revolutionizing User Experience with Agentic AI

Revolutionizing User Experience with Agentic AI Agentic AI integration creates prompt-driven interfaces that simplify access to information and ticketing for users. AI incident correlation reduces service downtime, boosting productivity. Ring deployment automates patch management for controlled updates, while lifecycle management of gateways enhances security. Autonomous endpoint management tackles time and data challenges, leading to more efficient operations. The focus is on leveraging technology to innovate and optimize resources.

Sovereignty, Liquid Cooling, and the New Infrastructure Hierarchy with Gavin Dudley

The AI revolution is here, and data centers are its beating heart! Gone are the days of data centers being just overlooked IT infrastructure; they are now the "cool kids on the block," essential for powering the most significant technological shift of our generation.

Azure Cost Optimization Best Practices - you can actually implement

Explore actionable strategies for Azure cost optimization—helping you move from just monitoring to actually reducing spend. Discover how leading teams are embedding FinOps best practices, leveraging automation, and building a cost-aware culture to keep cloud bills under control.