In my previous blog I stated my learning goal for 2020: Learning (or getting a better understanding) of the Go language. Currently I’m studying various courses, and have to give huge credits to Todd McLeod for his excellent work on courses on this subject.
Working with what you were given
In many cases I have to work what is given. If I am helping a client running Java with Docker, I cannot simply move them to another language or framework, just because that seems a better technical solution. I have to keep in mind that people and companies have invested in a language or framework, and sometimes it seems almost a religious feud (Windows vs Linux) instead of an objective view on the subject. So in a way, a language does not matter in my work as a consultant or architect. I have my preferences, but cannot force them onto a group just for sake of my own reasons.
Let’s Go! (pun intended)
Go is a very elegant and fast language. Testing is built right into the language, as is documentation. It pretty much runs on any OS, and does that really fast.
The authors (Robert Griesemer, Rob Pike, and Ken Thompson) wanted to address criticism of other languages in use at Google, but keep their useful characteristics (Wikipedia):
- static typing and run-time efficiency (like C++)
- high-performance networking and multiprocessing
In Go everything revolves around ease of programming and frankly, it is just plain fun coding in Go! I’m amazed with the speed of coding and simplicity of concurrency. Numerous IDE’s are available, making it easy to start with the language.
What language do you choose?
If you are in a greenfield environment, or want to create services that have the need for speed; think beyond your comfort zone. Experiment with languagues and frameworks. See what fits for your purpose.
In any case, take a look at Go with your team, and let me know what you think of it!
This blog was originally posted on SogetiLabs: https://labs.sogeti.com/2020-keep-on-learning/
As the new year starts, many of us have New Year’s resolutions, and many of those will eventually perish within a month or two.
New Year, New Technology
I don’t have any resolutions. The only thing I try to do each year is to learn a new technique or language. Please note that new means new to me and not necessarily a brand new technique.
Why? In my day-job I focus on designing cloud native systems and architecture, and most of my ‘programming’ is done in Visio and PowerPoint. As my roots are in Software Engineering, I keep myself up-to-date by learning new languages and techniques.
For the upcoming year I’ve already made my choice. I started out with the following short-list.
Creating the short-list
Scala is a general-purpose programming language providing support for functional programming and a strong static type system. Designed to be concise, many of Scala’s design decisions aimed to address criticisms of Java.Wikipedia
Functional programming is something that I do not see often in my day-to-day job, so I was intrigued by the capabilities of this language. Also, some very fast and popular software is written in Scala. Examples are: Apache Kafka, Apache Spark and Akka.
Rust is a multi-paradigm system programming language focused on safety, especially safe concurrency. Rust is syntactically similar to C++, but is designed to provide better memory safety while maintaining high performance.Wikipedia
Originally invented by Mozilla and used within Firefox and Dropbox. Rust has been the “most loved programming language” in the Stack Overflow Developer Survey every year since 2016, so that drew my attention.
Go, also known as Golang, is a statically typed, compiled programming language designed at Google by Robert Griesemer, Rob Pike, and Ken Thompson. Go is syntactically similar to C, but with memory safety, garbage collection, structural typing, and CSP-style concurrency.Wikipedia
Go has been around for quite some time, and has an impressive list of applications that were built with the language. Kubernetes, OpenShift, Docker and the list goes on.
Choosing my 2020 technique
For an internal project, we were looking for a tool to provides us programmability against a multitude of APIs. Instead of grabbing an off-the-shelve product, I investigated tools and frameworks that could help us build an MVP, fast and reliably. This eventually made me look into Terraform Custom Providers.
In Terraform, a Provider is the logical abstraction of an upstream API. This guide details how to build a custom provider for Terraform.https://www.terraform.io/docs/extend/writing-custom-providers.html
Terraform will let you wrap any API, so it will enable us to wrap our ITSM tooling, Monitoring tooling and what have you not.
As Terraform and the custom providers are written in Go, that was my main reason to dive into this language. I’ve created a Github repo with an example custom provider, find it here on Github.
Keep on learning
I’m curious if any of you are also keen on ‘staying relevant’ and want to keep up with new techniques and languages. And, what techniques and languages do you try out and investigate? Please feel free to let me know, and contact me on LinkedIn or Twitter!