More people than ever are working remotely, and about one-third say the coronavirus pandemic was their first chance to do so. As companies return to a new normal, they are considering how to manage workers who are not in the office, and mobile workers add a unique challenge. The term “remote worker” includes work-from-home employees and mobile workers. Most employees who work remotely do both.

In a factory environment, collecting data to gain useful insights from various sources is challenging because it requires connecting to many different types of automation systems, plcs and devices that often speak different languages. This is the problem that German industrial software company, inray (specialized in data communication between software systems and components in Industry 4.0, IoT and IIoT) set out to solve for its customers.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. Most healthcare facilities already use the Internet of Things (I0T) to make their environment a more efficient and safer place, and this week, we show you how IoT is revolutionizing the healthcare industry. As the world’s population grows, so does the need for quality medical assistance and healthcare.

Machine Learning (and deep learning) applications are quickly gaining in popularity, but keeping the process agile by continuously improving it is getting more and more complex. There are many reasons for this, but primarily, behaviors are complex and difficult to anticipate, making them resistant to proper testing, harder to explain, and thus not easy to improve.

People throw the terms “availability” and “uptime” around a lot, but depending on what you’re monitoring, the definition of these terms may change. In this article we use the narrow definition, accessible, to explore the various options Uptrends has for checking availability on websites, APIs, and servers.

A growing number of car companies have made their autonomous vehicle (AV) datasets public in recent years. Daimler fueled the trend by making its Cityscapes dataset freely available in 2016. Baidu and Aptiv respectively shared the ApolloScapes and nuScenes datasets in 2018. Lyft, Waymo and Argo followed suit in 2019. And more recently, automotive juggernauts Ford and Audi released datasets from their AV research programs to the public.

Richmond, June 15 2020 Today, Derdack, provider of critical alerting for operations teams, announced the availability of SIGNL4 in the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure. Derdack customers can now take advantage of the productive and trusted Azure cloud platform, streamlined deployment and management.

On May 27, the first OpenObservability Conference was held to bring together leaders, practitioners, and users of leading open source observability tools for sessions on the experiences, strategies, and future of the industry. For the Logz.io team, as long-time proponents of open source, it was rewarding to see everyone come together to explore the challenges and opportunities of open source observability.

Today marks five years since the start of the Mattermost open source project! We reflected on this exciting journey and reminisced about our missteps along the way. We’ve had many laughs and wanted to share them with our community.