Operations | Monitoring | ITSM | DevOps | Cloud

As odd as it might sound, I think these past few months have done a lot of good for IT, and following the recent news from Nexthink last week, I actually feel optimistic for many enterprises out there that might be struggling. Hear me out. Right now, there are millions of people working in new, flexible work environments that didn’t even exist six months ago.

This was originally posted on The New Stack. Once upon a time, log management was relatively straightforward. The volume, types, and structures of logs were simple and manageable. However, over the past few years, all of this simplicity has gone out the window. Thanks to the shift toward cloud native technologies—such as loosely coupled services, microservices architectures, and technologies like containers and Kubernetes—the log management strategies of the past no longer suffice.

Zoom Video Communications, Inc. and ServiceNow today announced a commitment to each other’s technology solutions to make work-anywhere experiences work even better. With the ongoing pandemic and shelter in place orders Zoom’s usage rocketed to 300 million daily meeting participants in April 2020. Zoom deployed ServiceNow’s Customer Service Management (CSM) to scale its customer service operations and enable critical communications capabilities for its global community.

When you want to spot hosts, applications, containers, plant equipment, or sensors that are behaving differently from others, you can use the Median Absolute Deviation (MAD) algorithm to identify when a time series is “deviating from the pack”. In this tutorial, we’ll identify anomalous hosts using mad() — the Flux implementation of MAD — from a Third Party Flux Package called anaisdg/anomalydetection.

In a post-pandemic world, we must use data in new ways. This in turn will require new discussions about, and practices creating, trust and transparency. The necessity of data and its benefits will be weighed against legitimate concerns of misuse of data.