Getting to grips with FluentD configuration which describes how to handle logging event(s) it has to process can be a little odd (at-least in my opinion) until you appreciate a couple of foundation points, at which point things start to click, and then you’ll find it pretty easy to understand.
It would be hugely helpful, if the online documentation provided some of the points I’ll highlight upfront rather than throwing you into a simple example, which tells you about the configuration, but doesn’t elaborate as deeply as maybe worthwhile. Of course, that view point maybe born from the fact I have reviewed so many books I’ve come to expect things a certain way.
But before I highlight what I think are the key points of understanding, let me make the case getting to grips with FluentD.
Why master FluentD?
FluentD’s purpose is to allow you to take log events from many resources and filter, transform and route logging events to the necessary end points. Whilst is forms part of a standard Kubernetes deployment (such as that provided by Oracle and Azure for example) it can also support monolithic environments just as easily with connections working with common log formats and frameworks. You could view it as effectively a lightweight (particularly if you use FluentBit variant which is effectively a pared back implementation) middleware for logging.
If this isn’t sufficient to convince you, if Google searches are a reflection of adoption, then my previous post reflecting upon Observability -London Oracle Developer Meetup shows a plot reflecting the steady growth. This is before taking into account that a number of cloud vendors have wrapped Fluentd/fluentbit into their wider capabilities such as Google (see here).
Not only can you see it as middleware for logging it can also have custom processes and adapters built through the use of Ruby Gems, making it very extensible.
Remember these points
and mastering the config should be a lot easier…