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Monitoring VMware with Loom Systems - Don't get stuck under a pile of logs!

Monitoring VMware


Lately, we've been busy writing up a whole bunch of documents and guidelines that explain how to use our platform to monitor and manage your cloud and microservices technologies and one of the most viewed is inevitably about monitoring VMware.


The leading virtualization solution in the web hosting field, the benefits of VMware have long since been established. However, the challenges involved in managing and monitoring performance during and following a migration to the new environment have been much less discussed. From resource sharing, to connectivity, capacity, application support and beyond, working with multiple environments on a single machine comes with its own potential 'obstacles' that must be addressed knowingly and effectively in order to succeed.


Loom Systems is a great match for VMware, primarily because the system's strength lies in its ability to correlate. Loom lets you combine your virtualization data with data from all other layers including your: applications, operating systems, storage, networks and servers to gain a deep, centralized view of KPIs of your datacenter. It automatically identifies under or over-utilized storage resources, disk IOPS by ESXi hosts/VMs and discovers hidden performance problems and capacity constraints.


In terms of what Loom Systems can do for VMware users, this is only the tip of the iceberg. The recently published document addresses additional and critical concerns such as: improving performance, correlating virtual to physical, monitoring security, viewing logs and root cause analysis.


I'd also encourage you to have a look at our growing FAQ area, but more than anything - DO THE DEMO and see for yourself.



Loom Systems delivers an AIOps-powered log analytics solution, Sophie, to predict and prevent problems in the digital business. Loom collects logs and metrics from the entire IT stack, continually monitors them, and gives a heads-up when something is likely to deviate from the norm. When it does, Loom sends out an alert and recommended resolution so DevOps and IT managers can proactively attend to the issue before anything goes down.
Get Started with AIOps Today!


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