Operations | Monitoring | ITSM | DevOps | Cloud

Grafana 13.1 release: observability as code updates, extending Grafana Assistant across more data sources, and more

Earlier this year, Grafana 13 laid the groundwork for making it easier and faster than ever to turn your data into actionable insights. With our latest minor release, Grafana 13.1, we're building on that foundation, expanding observability as code, bringing Grafana Assistant to more data sources, and streamlining the everyday workflows teams rely on to visualize, analyze, and act on their data. Download Grafana 13.1 Below are just some of the highlights from Grafana 13.1.

Physical Asset Verification: The Complete Checklist for Multi Location Organizations

Managing assets across multiple offices, warehouses, plants, project sites, or retail locations can quickly become challenging. As organizations grow, assets are transferred between locations, assigned to employees, repaired, replaced, or retired. Over time, records can become inaccurate, leading to missing assets, duplicate entries, and compliance risks. This is where physical asset verification becomes essential.

How Does SNMP Keep an Eye on Every Device on Your Network?

In this video, learn what SNMP (Simple Network Management Protocol) is and why it remains one of the most important technologies for network monitoring. Discover how SNMP helps IT teams collect device health metrics, receive real-time alerts, and monitor thousands of network devices from a single platform. In this video, you'll learn: Contact Us sales@motadata.com Resources Follow Us on Social Media.

10 Best ITSM Tools in 2026 [Reviewed and Compared]

How do you choose the best ITSM tool for your team when 20 vendors all promise the same three things: native AI, ITIL alignment, and a single system to run your whole IT operation? It is the fair question we hear most from IT managers and service desk leads, and the cost of getting it wrong is high. An ITSM platform is a multi-year commitment where your team works inside every day, so a poor fit shows fast as slow tickets, manual workarounds, and a migration nobody wants to repeat.

6 use cases for agentic AI in major IT incident management

Enterprise IT operations leaders are realizing that legacy incident management processes cannot keep pace with today’s sprawling, hybrid-cloud enterprise environments. Enterprise IT doesn’t look anything like it did even five years ago. Hybrid cloud architectures, distributed microservices, and increasingly rapid CI/CD cycles have increased the speed and complexity of IT operations by orders of magnitude, leaving ITOps teams struggling to keep up.

CloudZero Dimension Studio: A drag-and-drop UI at the foundation of AI ROI

The core of ROI is visibility. If you can clearly see … 1. What it costs to produce the thing you make, and 2. How much money it makes you … then calculating ROI is easy. But with AI, as with the cloud before it, getting that visibility is extremely challenging. Why? Because the cost data associated with each is inherently chaotic.

The Four Pillars of AI Observability in 90 Seconds

AI applications can behave unpredictably, potentially leading to errors such as hallucinations or data leaks, even when classic monitoring indicates a successful response. To effectively monitor AI systems, four key areas should be focused on. Implementing these pillars can enhance trust in AI deployments, help manage costs, and identify safety issues before they impact users.