At LogicMonitor, we deal primarily with large quantities of time series data. Customer devices are monitored at regular intervals and data points are provided to our agentless application to be processed and interpreted. Recently, we’ve endeavored to expand the presence of machine learning in our application to enhance anomaly detection.
In my Puppet travels over the last 10 or so years, one topic has continued to arise time and again, and that has been the ability to scale open source Puppet to thousands of nodes. While the best route is to use Puppet Enterprise for solid support and a team of talented engineers to help you in your configuration management journey, sometimes the right solution for your needs is open source Puppet.
In a previous article, we discussed KUDO and the benefits of it when you want to create or manage Operators. In this article we will focus on how to start to work with KUDO: Installation, using a predefined Operator and create your own one. Installing KUDO To install KUDO the first step is to install the CLI plugin in order to manage KUDO via CLI. Depending on your OS you can use a package manager like Brew or Krew, however installing the binary is a straightforward option to proceed.