The book has had a title change as Manning found that links the book was clashing with other solutions using the term ‘Unified Logging’. With the name change it helps bring the book inline with the Manning naming with their In action series. This means the book website is now https://www.manning.com/books/logging-in-action.
With the name change we’ve agreed that there should an additional chapter added. As I’d written the book with a view that everything we cover applies to both modern solutions such as Microservices coming from the CNCF camp but equally relevant to more traditional IT landscapes. Within the book we have explianed how things are positioned and can be used in Kubernetes, but it was agreed with our editorial team that not tackling the configuration of Fluentd with Kubernetes and Docker was to an extent ignoring a key community that will be using Fluentd. So the new chapter will be introduced to address this aspect.
In terms of progress we’re into the 1’s – 1 Chapter to start (the new one), 1 Chapter back from the Technical Editor (Logging Best Practises) – some edits to be done, 1 Chapter now with the editor (How To Create Custom Plugins), 1 Chapter being finished (Logging Frameworks) and finally 1 peer review cycle to go.
Given the lovely review comments that have been quoted on the book’s page. I can only recommend if you have an interest in logging and monitoring then check it out through Manning Early Access Programme (MEAP).
My blogging is way down compared with only a post about OKit – OCI Design (on Windows). It largely comes down to lots of work on our Fluentd book. Chapter 6 is now available in the MEAP. As the promo info says …
Last chapter, we touched on the use of the Filter directive. But that was just the tip of the iceberg! In Chapter 6, we’ll plunge below the surface, exploring the when, why, and how of applying filters to give us more insight and precise control over events.
Promo Email from Manning
Earlier chapters have been tweaked, with some additional improvements which will make the live reading experience better.
Another chapter and an appendix should be finding their way to MEAP very soon as it was handed over by our project editor. That will make it seven chapters available, and all the appendices.
Whilst the peer review is taking place the chapter covering plugin development is progressing. The development work has got the basics of the output plugin with log events being stored in Redis and the input being worked on as well. If you want a peak, keep an eye on my GitHub repository (here).
But is isn’t all writing…
I presented on Twitch – you can catch that at https://m.twitch.tv/videos/809295979 I’ve been offered the opportunity to present again, so keep an eye out for something next year.
We recorded a podcast with the excellent guys over at Adventures In DevOps. We don’t have the exact date for the podcast to be released, but I imagine it will sometime during Jan 2021. I’d recommend checking out the podcasts. I’ve been dipping into their back catalogue of recordings and the team ask some really thought provoking questions.
If that wasn’t enough, we’ve been fortunate enough to have some time to talk with leading members of the Fluentd and Fluent Bit projects which was a real pleasure. Hopefully, as we leave this horrendous year behind we’ll get to talk and possibly collaborate some more.
Things have been very hectic, so much so we’ve not really had much time to write a blog. Most of which has been related to my Fluentd book, so what has been happening (and keep an eye on my Twitter account for a promo code 🙂 ) …
Several virtual conferences (Open Source Summit, SPOUG and Oracle APAC Groundbreakers to name just a few)
Perhaps the biggest bit has been the book:
First 4 chapters went through a rigorous peer review, as a result a number of improvements have been made,
with Chapter 5 having been reviewed by our technical editor, and little bit of refinement applied it should be reaching MEAP very very soon along with updated appendices,
Chapter 6 has been reviewed by our development editor, so some revisions to apply and then onto the technical editor,
Chapter 7 writing in progress, with about 1/3rd complete including examples of applying scaling configuration that can be run on a desktop
So what is to follow:
We’re on Manning’s Twitch channel to do a session, which will cover Fluentd, some examples, the book and what it will cover,
Once Chapter 7 is done, then we go through a comprehensive review with external input. Depending on the feedback from this, we make another sweep through the existing chapters to make further improvements,
Chapter 8 I suspect will be the hardest to write, as we actually get into creating our own Plugin. So I it maybe a little while before this gets completed. The subsequent chapters will come more easily as we’ve got them part written in a rough draft already,
We have another round of external peer reviewing to come which will cover everything, so I’m sure we’ll be doing some refinements
A podcast recording is scheduled in December.
Talking of Manning on Twitch, this looks like a bit of a hidden Gem – worth looking at not only because of the live stream, but all the previous recordings with other Manning authors are available to watch.
If that isn’t enough with a day job, we have had some major work done on our house. Now we’re moved back in, there are lots of DIY jobs to do, get all the furniture back from storage. Every room apart from the kitchen needs to be painted. But that is my sob story.
I’m hoping to find time to experiment with Oracle’s new cloud native Log Management as this is built on Fluentd foundations and a little bit with API tech – but this is likely to be the Christmas break.
Manning have made section of my book freely available. The excerpt from the first draft of my book Unified Logging with Fluentd illustrates the Fluentd take on Hello World – the extract can be found at http://mng.bz/nzm8. This is from the 1st chapter to help set the scene of how Fluentd can be configured. The following quote comes from one of the peer reviewers:
The extract includes the use of the log simulator tool – https://github.com/mp3monster/LogGenerator which takes some configuration and can either play synthetic data or replay real logs as current log events in what ever format you want to simulate – for example standard Log4J through to Apache Server logs with the relevant time separation between events.
Book Discount …
If this isnt enough temptations, then perhaps saying that on September 22: Deal of the Day book is my book Unified Logging with Fluentd. Use code dotd092220au at https://bit.ly/3mBRLK2
For those who regularly follow my blog, I like Groovy as a way of scripting given its portability, proximity to Java, its use of the JVM means its really easy to work with. With the extra language features it makes it easy to work with without needing to setup Maven builds to manage dependencies for something simple. As a result, the utils I’ve produced to support Oracle API Platform CS (here) for example are written with Groovy.
However, not everyone is such a fan, or sees Groovy as niche and, to be honest in the last few years Python has made huge in roads in the scripting space. So I can appreciate the preference for Python to be used. This was really brought home to me by a peer review comments for my latest book project. This got me to thinking what options do I have to remove Groovy from the equation, without resulting in needing to mess with maven POM files. The options as I saw it are:
Replace any use of Groovy extensions with Java libraries
Switch to using Java 11 and the shebang feature (more in a minute)
Compile code with Groovyc and package the jars manually including dependencies.
From Java 11, the ability for a single Java file to be executed without compiling etc was introduced – known as shebang (more here). The issue here is a lot of applications have been certified against Java 8, and in an Enterprise environment this is important. Which means either installing Java 11 locally without changing environment variables, or you need to add code to switch Java versions as necessary. The upside being that you can run your code as a script, and then if necessary build it into a jar to distribute. Aside from the need to switch between JDK versions, Java’s language gets ever richer, but Groovy has a nice set of extensions that make JSON object navigation really nice, and these aren’t necessarily in core Java.
Groovy provides a tool to compile Groovy to bytecode for the JVM (i.e. create class files). From which we can create a JAR file with using the javac command. But this doesn’t bundle the Groovy dependencies necessary to run the jar, as a result Groovy still needs to be installed. You could do this through the use of a maven, Gradle or other build tools. But we’re back to creating a POM file or equivalent., and to be honest creating a POM file from scratch is slow going unless everything lines up neatly with file structures, which it won’t because when you produce a script you’re not expecting to need to worry about packages and associated folder structures.
In looking to see if someone had simplified the process I came across this excellent tool scriptjar (more here). Script jar takes the location of the class files, creates a jar file and loads it with the Groovy jar dependencies, and assembles the manifest file etc. Net result, a jar file created in 2 lines that has no Groovy deployment dependencies to use, and will work with older Java versions such as Java 8.
I started out referring to the API tools, but the same mechanism can be applied to the LogSimulator tool I’ve created that allows you to generate or replay existing logs in real-time or faster than real-time, making it easy to test log monitoring setups from a monitored source all the way through (today it only handles log file replaying or the use of the Java native logging).
Fluentd is both an open source solution for making log management so much easier to work with, particularly for distributed / multi component solutions. But not only that it is supported by many log analytics tools, and central to several cloud vendors log management services.
The goal of the book is to explain how Fluentd can help us and to use the tool. We can’t cover every possible plugin, so we walk through the use of enough plugins and the way features interact you can extrapolate to other plugins.
We’ve added a new mindmap to our catalogue here. This covers the core of GraphQL. The catalogue contains both the image and a Word representation. The map is built based on a reading of Learning GraphQL by Eve Porcello & Alex Banks on O’Reilly.
I have been working my way through Building Evolutionary Architectures by Neal Forward, Rebecca Parsons and Patrick Kua. Three senior and respected members of Thoughtworks (also the home of Martin Fowler). Having read and listened to Neal and Rebecca’s presentations and writing I had expected a deeply thought-provoking read, but have to admit to being disappointed. There are some good points without a doubt, but the book pretty much focuses on one idea, the application of fitness functions. But I’m not convinced it warrants several hundred pages of a book as a result the point does at times feel laboured.
There are some arguments made, that leaves me thinking that there is a view that the only answer is microservices in the conventional model of Kubernetes, Docker etc, which I agree is a powerful paradigm to allow solutions to evolve, but it isn’t a silver bullet and not always right in every case (if you have a team lacking the underlying appreciation of the goals, or put in to place in an ad-hoc manner (see Chris Richardson‘s work) it isn’t going to help.
Alongside this, there is little said about the interface definition for microservices (typically APIs of one form or another). Whilst mention of leaky abstractions are made, the material illustrations such as code lead API definitions are omitted (risk being, code changes, the API changes and the impact cascades).
What surprised me the most is the on more than one occasion the books points to ERPs not being sufficiently customisable. Yet, anyone working with ERPs will tell you that ERPs are at their best when you use them to leverage industry best practices rather than crowbar them to fit unconventional ways of operating. If you’re a manufacturer, is fiscal reporting part of your differentiator; probably not, so why not take best practice OOTB.
As usual, I have mind mapped things as I read through the book. The dynamic/interactive version is here, the image (but not in full detail) is below.
Earlier this year, I wrote a short post on Chris Richardson’s book Microservice Patterns (Praise for Microservice Patterns). When I read the book I mind mapped my notes which can be seen at Mindmap Index or access directly here. The mind map is no substitute but should act as a reasonable aide-memoire.
We would highly recommend getting and reading the book.
An extract of our new book Implementing API Platform has been made available by the publishers Packt here. Of course you could enjoy all the content by buying the book directly from Packt (go here) or from book retails such as Amazon (here).
