Operations | Monitoring | ITSM | DevOps | Cloud

Work smart, not hard - fun applications to help you do less in your day

Modern-day life is fast, hectic, demanding. Time is precious, and we often need to be able to squeeze every atom of efficiency from our environment and our tools. But sometimes, the best thing you can do for your productivity is – to do nothing. Sometimes, less is more. In this article, we want to show you a number of nice, fun and not-strictly-productivity-focused apps that can help you relax, forget about the time-efficiency continuum, and recharge your cells for the next lap in the race.

Prevent unwanted changes with Sleuth deployment locking

Service alarms are going off and you are on the hook to restore stability, but you need to prevent any more changes to production while you dig further. You could "freeze" production by announcing it in the office, sending a message on Slack, or sending an email to the affected teams, but that may not be enough or may require extra work that would distract you from debugging and fixing the problem.

Protecting Your Assets: It's Not Just About Servers and Laptops!

In most of our blogs, we spend a TON of time going on about protecting our endpoints, looking at sysmon, checking the firewall, correlating IDS data and the like… Today, we're going to shift gears a bit and look at security from a different angle. Recently, there has been a tremendous focus on the shifting paradigm of a workforce that primarily resides in corporate offices, to a highly virtual workforce sitting at their kitchen tables.

Unleash your IoT Development tools with WSL

Francesco Buccoli, Microsoft Marco Dal Pino, SoftJam See how easily a set of Linux tools for IoT could be perfectly integrated in a development pipeline, as part of an industrial process that makes devices ready to be used. To achieve this, we'll leverage on some containerized solution hosted on Azure along with standard IoT industry tools, all driven by Visual Studio Code and GitHub.

Monitoring Micro-Transaction Payment Models with AI

As online commerce has boomed, many companies now manage a large number of revenue streams from a variety of sources including micro-transactions, single purchases, and subscription plans. Now that revenue models have become much more complex and fragmented, many companies have realized that their traditional systems simply aren’t capable of the scale and granularity required for accurate revenue monitoring.