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Getting Started with Azure IoT Edge on Ubuntu Core

Earlier this month/week, we announced that you can now benefit from the combined power of Ubuntu Core and Azure IoT Edge to bring the computation, storage, and AI capabilities of the cloud closer to the edge of the network. Azure IoT Edge is a device-focused runtime that enables you to deploy, run, and monitor containerised Linux workloads. Ubuntu Core is a version of Ubuntu that has been specially optimised for IoT and embedded systems.

Maximize IT efficiency leveraging alert management with Elastic AI Assistant for Observability

Manage and correlate signals and alerts in Elastic Observability As organizations embrace increasingly complex and interconnected IT systems, the sheer volume of alerts generated by diverse monitoring tools has given rise to a critical challenge — how do we efficiently sift through the noise to identify and respond to the most crucial issues? Event management and correlation are two indispensable pillars in the realm of IT service management.

How to use HTTP APIs to send metrics and logs to Grafana Cloud

Integrating monitoring and logging into your application stack is crucial for maintaining performance, enhancing security, and streamlining troubleshooting. Grafana Cloud offers a robust solution for monitoring your applications by collecting metrics and logs using an agent, such as Grafana Agent, but there are many environments where this isn’t feasible.

Loss Prevention Officer Strategies: How Retailers Can Minimize Theft and Enhance Profitability

Retail businesses face a big challenge: stopping theft to keep profits high. Luckily, smart loss prevention strategies can help. These strategies involve carefully watching for theft and using smart ways to prevent it, boosting a store's earnings.  These methods are not just about catching shoplifters but also involve using technology and training staff to spot and stop theft before it happens.

Secure your AI workloads with confidential VMs

AI models run on large amounts of good quality data, and when it comes to sensitive tasks like medical diagnosis or financial risk assessments, you need access to private data during both training and inference. When performing machine learning tasks in the cloud, enterprises are understandably concerned about data privacy as well as their model’s intellectual property. Additionally, stringent industry regulations often prohibit the sharing of such data.

Set up a maintenance window on ilert mobile app

ilert's maintenance windows feature allows users to schedule downtime for alert sources and services. This ensures that on-call responders won't receive alerts from alert sources during maintenance and service, and status page subscribers will be informed about planned and ongoing service maintenance. In this video, you will learn how to use this feature on ilert mobile app.