Hey folks, it’s that time of year again. I’m not talking about the end of summer; I’m talking about VMworld, of course! VMworld has been my jam for the last few years here at LogicMonitor, but this year I’m focused on some other cool projects hitting the market soon, including LM Exchange (you may have seen a sneak preview if you attended our inaugural user conference, Level Up).

I recently shared a train journey with a gentleman who demonstrated the importance of an automated monitoring tool, by missing breakfast. No, really...

LogicMonitor’s current monitoring coverage for VMware’s vCenter is best-in-class: from a single device in your portal, you can see every component of your virtual environment and their respective performance metrics: hosts, clusters, virtual machines, resource pools, datastores, virtual switches, networks, snapshots, and more.

Sometimes it’s fun to just nerd out for a moment. Python is one of the most popular scripting languages today and we love it too. That’s one reason why LogicMonitor can execute any script or programming language supported by your environment. That means can enjoy the latest features of your favorite languages in your favorite monitoring tool (right?). If Python is your vice, give Python 3.7’s Data Classes a try!

With LogicMonitor, users gain visibility into the health of business systems quickly, ensuring food stays at safe temperatures, spinning wheels don’t interrupt your favorite streaming shows, and travel reservations go through in seconds. Here are some innovations we demonstrated and announced that increase visibility:

Python list comprehensions offer a concise method of interacting with each element of a list. Even though they’ve been available since Python 2.0, their syntax often demotivates people from using them. This article aims to introduce List Comprehensions in a friendly way and offer you one more Python feature to add to your scripting toolbox.

LogicMonitor is proud to announce anomaly visualization as an addition to our growing AIOps capabilities! With this new functionality, users are able to visualize anomalies that occur for a monitored resource and compare that anomaly to key historical signals, such as the past 24hrs, 7 days, or 30 days. Anomaly visualization complements LogicMonitor’s existing forecasting functionality and provides another layer of intelligence to better understand resource health.

Python has rapidly grown into one of the most popular languages for automation. That’s why LogicMonitor supports Python when it comes to managing your LM portal and expanding your monitoring coverage with scripts. During your scripting adventures, you may find yourself wanting to take your work to the next level. One widely-applicable improvement is credential abstraction.