Azure IoT Edge is a Microsoft Azure service that allows you to run containerized workloads on IoT devices. With IoT Edge and Azure IoT Hub, Azure’s device-management platform, organizations across science, manufacturing, energy production, and other industries can provision their IoT devices and workloads at the edge of their cloud networks for immediate in-unit computing, a necessity when running AI algorithms or parsing large datasets directly on IoT devices.

In this article, learn which API metrics you should watch and how Uptrends’ API Monitoring can help you with API tracking and reporting. It is important to know the availability, speed, and validity of API responses whether you publish an API for consumption or your website or app relies on one or more APIs. If an API slips in any of those areas, you’ve got potential trouble. Uptrends API Monitoring has multiple ways to enable you to safeguard your APIs.

We are glad to introduce IPHost mobile app (currently available for Android 4.4 or newer). To start using Push notifications on your Android device(s), please upgrade your IPHost installation to v5.3 or later version. You would also need an Android mobile device running free IPHost mobile app. We have added a quick start reference for IPHost mobile app; it typically takes less than 5 minutes to install the app, connect it to the IPHost desktop installation and commence receiving Push notifications.

A couple of days ago, Elastic announced that it will change the licensing of Elasticsearch and Kibana as of the 7.11 release to a proprietary dual license (under the SSPL license) and away from the open-source Apache-2.0 license. This move has caused extensive turmoil and frustration in the open-source community, especially with organizations that rely on Elasticsearch. Let me start with the end in mind.

The HAProxy Data Plane API 2.2 lays the foundation for first-class service discovery and introduces native support for Consul. It also adds storage and file handling for SSL certificates, Map files, and SPOE configuration files.

NVIDIA Jetson is a family of embedded, low-power computing boards designed to support machine learning and AI applications at the edge. Organizations use Jetson boards for complex video and image processing and analysis, automating build processes in factories, and improving city infrastructures. For example, Jetson-based devices enable cities to analyze traffic patterns with their existing traffic cameras in order to find ways to improve their most congested intersections.