In Log Insight 2.0 a clustering feature was introduced. This feature made it possible to go above the configuration maximums of a single node, however scale is not the only reason to consider when architecting a Log Insight solution and considering clustering. In this post, I would like to discuss other benefits to leveraging a […]
Recently, I talked about Log Insight cluster data imbalance and why you want to avoid it. In this post, I would like to discuss when you might choose to create data imbalance on purpose.
In Log Insight 2.0 a scale-out feature was introduced. The best practice when using scale-out is to configure an external load balancer in front of the cluster and send all ingestion traffic (i.e. syslog and ingestion API) to the load balancer instead of directly to a node. The reason for this best practice is to […]
The question of whether Log Insight supports deployment on vSphere stretched clusters has come up multiple times in the last few months. As such, I figured I would cover it in this post. Read on to learn more!
In Log Insight 3.0 some changes have been made to the Cluster page under the Administration section. In this post I would look to cover these changes. Read on to learn more!
If you started with Log Insight 1.x or with an environment that a single Log Insight node could handle then you likely are running a standalone node. Upon upgrading to Log Insight 2.x, when ingestion increases above the amount a single node can handle or when business requirements change (e.g. requiring ingestion HA), moving from […]
In Log Insight 2.0, a cluster upgrade process was introduced, but because clustering was a new feature I did not cover how to perform a cluster upgrade. Now that Log Insight 2.5 beta is available, I would like to discuss the recommended way to perform cluster upgrades.