Operations | Monitoring | ITSM | DevOps | Cloud

Honeycomb MCP Is Now In GA With Support for BubbleUp, Heatmaps, and Histograms

If you’ve been following my public journey with LLMs this year, it probably won’t surprise you to learn that this blog post is an announcement about the general availability of Honeycomb’s hosted MCP server. I want to share a few updates about what’s new in the GA release, discuss some interesting learnings from building it, and share examples of how we’re using MCP internally. First: if you're still in the dark about MCP and AI agents, go read the earlier blogs I linked.

Agentic AI in Retail is Redefining How Brands Target and Monetize

Retail is no longer defined by the checkout counter or button. What used to end with a purchase has expanded into an always-on ecosystem of engagement, media, and service. Every interaction, from browsing to post-purchase, now carries both experience value and monetization potential. This shift has made Retail Media Networks (RMNs) the fastest-growing profit center for retailers, but their scale and complexity demand more than human-led operations or rule-based automation.

Monitor the Health, Performance, and Security of Your AI Application Stack with AI Agent and AI Infrastructure Monitoring

At this year’s.conf25, we introduced an exciting new chapter in observability at Splunk — one that is unified, AI-powered, and agentic — to ensure ITOps and engineering teams are digitally resilient in the AI era.

10 Ways an AI Video Translator Improves Viewer Engagement

In the digital era, connecting with audiences globally is more vital than ever. As content creators strive to engage viewers from diverse linguistic backgrounds, AI video translation emerges as an essential tool. These innovative systems enhance the viewing experience, enabling creators to reach wider audiences more effectively. Here's a look at ten ways an AI video translatorcan boost viewer engagement.

AI in Real Estate: Key Insights and Tips Realtors Can Use in 2025

Artificial intelligence is no longer a distant idea. It is now shaping industries, including real estate, where agents face new expectations from clients. The global AI real estate market was valued at approximately US$2.9 billion in 2024 and is projected to reach US$41.5 billion by 2033, with an annual growth rate exceeding 30%.

How to Use AI for Operational Excellence

Organizations are under immense pressure to do more with less – streamline operations, reduce costs, all whilst improving both the outcomes of the business and their employees. For IT and end-user computing (EUC) professionals, this challenge is especially prevalent. Systems are becoming increasingly complex, the digital employee experience is now directly tied to customer satisfaction, and the role of technology teams extends much further than solely keeping the lights on.

Monitoring Claude Code Usage with OpenTelemetry and SigNoz

In this video, we’ll walk you through how to monitor Claude code activity using OpenTelemetry and SigNoz. You’ll learn how to instrument your usage, capture telemetry data, and visualize it with SigNoz to get better insights into your system performance. Whether you’re exploring observability for AI workloads or looking for an open-source solution to monitor your llm activity, this guide will help you get started.

Observability Journey Panel - Dell x TekStream

Join Dell Technologies, TekStream Solutions, and Grafana Labs for a candid panel on scalining observability. Learn how enterprise teams scale observability, balance centralized vs. decentralized models, and accelerate adoption. The panel explores challenges with culture, governance, tool sprawl, and how AI is reshaping monitoring and incident response.

Beyond Wearables: How Remote Patient Monitoring Shapes Care Delivery

The healthcare industry has entered an era where the boundaries between in-person visits and digital health interactions are becoming increasingly blurred. Remote Patient Monitoring (RPM) sits at the forefront of this transformation, enabling physicians to track, analyze, and respond to patient health data in real time. While wearables such as smartwatches laid the groundwork, RPM has moved beyond step counts and heart-rate alerts. It now serves as a critical pillar of value-based care, reshaping how medical professionals manage chronic conditions, enhance patient engagement, and improve clinical outcomes.