We can reveal why things have been quieter than usual on the blogging front. Logging in Action with Fluentd has a partner title … Fluent Bit with Kubernetes.

The new book focuses on Fluent Bit, given its significant advances, reflected by the fact it is now at Version 2 and is deserving of its own title. The new book is a free-standing book but is complimentary to the Logging In Action book. Logging in Action focuses on Fluentd but compliments by addressing more deeply deployment strategies for Fluent Bit and Fluentd. The new book engages a lot more with OpenTelemetry now it has matured, along with technologies such as Prometheus.

It is the fact that we’ve seen increasing focus in the cloud native space on startup speeds and efficiency in footprints that have helped drive Fluent Bit, as it operates with native binaries rather than using a Just-In-Time compilation like Ruby (used for Fluentd). The other significant development is the support for OpenTelemetry.

The book has entered the MEAP (Manning Early Access Program). The first three chapters have been peer-reviewed, and changes have been applied; another three are with the development editor. If you’ve not read a MEAP title before, you’ll find the critical content is in the chapters, but from my experience, as we work through the process, the chapters improve as feedback is received. In addition, as an author, when we have had time away from a chapter and then revisit it – it is easier to spot things that aren’t as clear as they could be. So, it is always worth returning as a reader and looking at chapters. Then, as we move to the production phases, any linguistic or readability issues that still exist are addressed as a copy editor goes through the manuscript.

I’d like to thank those involved with the peer review. Their suggestions and insights have been really helpful. Plus, the team at Calyptia is sponsoring the book (and happens to be employing a number of the Fluent Bit contributors).

We also have a discount code on the book, valid until 20th November – mlwilkins2