Log Insight 2.0 introduced the ability to scale-out in addition to scale-up. With this change, a Log Insight instance is capable of playing different roles or service types. These include: Standalone (available in 1.x) Master (new in 2.0) Worker (new in 2.0) NOTE: Service types should not be confused with node types. Every Log Insight instance […]
In addition to configuration maximums, it is important to understand configuration minimums. Again, most of this information is in the official documentation, but is not consolidated in a central location… until now! UPDATE: Configuration minimums have been added to the Log Insight documentation starting with 3.0. This information may be out of date — please […]
I just wanted to make people aware of a new VMware Knowledge Base (KB) article that has been published regarding Log Insight 2.0.
Continuing with my video theme, I have a video going through the initial configuration wizard of Log Insight 2.0 when attempting to create a standalone instance.
For those interested in deploying Log Insight 2.0 for the first time, setting up a new Log Insight instance, or creating a Log Insight cluster, this video is for you!
I figured I would do something a little different and post a video on how to upgrade to Log Insight 2.0. In case you are running a version of Log Insight older than 1.5 GA, be sure to check out this post on how to upgrade to version 1.5 GA before upgrading to Log Insight […]
The wait is over, Log Insight 2.0 is now generally available! This post contains all the details you need to know.
VMware announced Log Insight 2.0 today though the actual bits will not be available until later in Q2 2014. Read on for all the details.
Another new feature in the Log Insight 2.0 beta is dashboard filters. What are dashboard filters, how do you create them, and how do they impact content packs? These are the questions I will answer in this post!
Another more subtle, but in my opinion amazing and very powerful, feature in Log Insight 2.0 beta is machine learning. So what does machine learning look like in Log Insight, what does machine learning provide, and why is it powerful? These are the questions I will address in this post.