After putting it off for some time, I finally decided to revamp my website. I had a few goals in mind when I started:
- Switch from using Jekyll to Hugo for static site generation
- Move from AWS to GCP for hosting
- Define all the infrastructure as code using Terraform
- Automate the build/deploy process with CI/CD
The result is a highly available, fault-tolerant, and reproducible website that is easily deployed and almost free to host. I couldn't find any other examples of someone doing something similar to this using the same stack, so I decided to write up the process myself for my own reference as well as for others.
Static Site Generation
Static site generators are great for websites that don't require dynamic content or user input. By doing away with a database and not generating content for each request you can increase site load times and security while being able to handle large amounts of traffic with relatively little infrastructure compared to a dynamic site. For more details, there is a great introduction to static site generators here .
Originally I was using Jekyll when I first set up my site. Jekyll is arguably the most popular static site generator around at the time of writing this and has a large community with a wide variety of plugins and themes. Despite Jekyll being a popular option, it seemed to have many features that I didn't need that made it significantly more complicated to set up and use. After some searching, I came across Hugo , a static site generator written in Go. Hugo seemed like an attractive alternative to Jekyll as it was simple to set up and deploy, fast, and was written in a language I was familiar with.
There are lots of options when it comes to hosting a static website including free ones like GitHub Pages . While this is a great easy to use option, I wanted something that I had more control over as well as an excuse to use and learn new platforms.
For a long time, I used a method similar to the one described here to host my site on Amazon Web Services (AWS) in an S3 bucket. While this proved to be a cheap and reliable method, I started to get curious about what options were out there.
Since I was already familiar with what AWS had to offer, I decided to take a look to see if Google Cloud Platform (GCP) had any similar offerings. compared to the flood of blog posts and guides for setting up a static site hosted with S3, there was relatively little information on doing the same with GCP. Google itself has a nice overview of the process that served as a basic guide, but it seemed that for the rest of my goals (configuration management, infrastructure as code, and HTTPS setup) I was on my own.
Infrastructure As Code
The concept of infrastructure as code (IAC) is being adopted by more and more organizations today and for good reason. With IAC your hardware is defined as software, allowing you to take advantage of the best software development practices and tooling. Imagine being able to define your entire environment's hardware stack in a JSON file while using version control like Git for change tracking and releases. This is just one of the great things IAC has to offer. For a great look at some more benefits, AgileBits has a great blog post about using IAC in their recent environment upgrades.
My tool of choice for this will be Terraform , a great tool by the folks at HashiCorp (as if they make any other kind). Terraform allows you to define your infrastructure as code and deploy to a variety of cloud environments or providers as they are referred to in Terraform. Getting started with Terraform is beyond the scope of what I am going to cover here, but there is a great series of blog posts posts written by the folks at Gruntwork that will help get you started. This series of posts was also the basis for a book by the same author called Terraform: Up and Running which I highly recommend.
With the plans set for hosting my static site on GCP while using Terraform to define all of the infrastructure, I needed a reliable and automated way to make changes to both the content and the configuration of the site. This is where CI/CD steps in.
CI/CD stands for continuous integration (CI) and continuous deployment (CD) respectively, and are common DevOps practices. CI encourages rapid changes merged into the main codebase as often as possible. These changes are then validated by a suite of automated builds and tests to validate the changes. With CD, if these changes are successfully validated by your tests, they are automatically pushed to your production environment without further manual intervention. As you might see, complete test coverage of your code is very important in this scenario.
Properly implemented, these two practices can lead to fewer bugs, faster release cycles, and when paired with versioning control such as Git, change/release tracking for each update made to the codebase.
Putting It All Together
So far I've outlined what my goals were for this project as well as the tools I needed, giving a little insight into my decision-making process along the way. In Part II of this series, I will get into more specifics of the implementation as well as provide code samples for my infrastructure and provide some Terraform modules to make the process easier. Stay tuned!