 Hi, I'm Tim Surowitz for the Linux Foundation. In today's text print, we're going to talk about FluentD. Some tools, like Kubernetes, do not have built-in cluster-wide logging. This is a great place to use FluentD. FluentD offers us a unified logging layer. Our entire production environment can send logs to FluentD and it will filter and use plugins to then put the appropriate messages into wherever we'd like. Perhaps Big Data Lake and then go through it with Elasticsearch. Perhaps we push it to MongoDB. We have lots of options. Let's begin by going to FluentD.org. Here we see the main FluentD.org page. You'll see there's a interesting diagram in the middle that shows several things on the left generating logs, being sent to the unified logging layer, and then being used in other places. As you scroll down, it mentions again it decouples the data source from the back-end systems. Simple yet flexible with hundreds of plugins to connect to various data sources and outputs. And it is used by many large organizations to collect these logs. If you go to github.com slash Fluent, you can see the repository for FluentD as well as FluentBit. And if you scroll down, many other projects having to do with using Fluent in a production environment. If you want to know even more, check out the LFS 242 class, Cloud Native Logging with FluentD. In the class, you'll learn more about FluentD, how to install and configure it, start working with filters and parsing of data, and even cover high availability. Go ahead and enroll now.