terraform VS boto3

State Encryption was one of those long requested features[0] (I had it on my ideas list for years[1]) that Hashicorp didn't have much incentive to build. I don't think it has to with distancing opentofu as such, but the opentofu team prioritizing the right things that customers actually need.

[0]: https://github.com/hashicorp/terraform/issues/9556

[1]: https://github.com/captn3m0/ideas#-mars-terraform-remote-htt...

https://github.com/hashicorp/terraform/issues/34402

I’m not a lawyer and have no idea who is right or wrong but I understand why Hashicorp is scrutinizing this.

Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

For example, integrating Terraform for infrastructure as code (IaC) into the IDP can streamline updates and rollbacks.

In this project, you will understand and get hands on experience around the entire concept around CI/CD from applications perspective. To fully gain real expertise around this idea, it is best to see it in action across different programming languages and from the platform perspective too. From the application perspective, we will be focusing on PHP here; there are more projects ahead that are based on Java, Node.js, .Net and Python. By the time you start working on Terraform, Docker and Kubernetes projects, you will get to see the platform perspective of CI/CD in action.

Infrastructure as Code (IaC) is an important part of any true hosting operation in the public cloud. Each of these platforms has their own IaC solution, e.g. AWS CloudFormation. But they also support popular open-source IaC tools like Pulumi or Terraform. A category of tools that also needs to be discussed is API gateways and other app-specific load balancers. There are applications for internal consumption, which can be called microservices if you have a lot of them. And often microservices use advanced networking options such as a service mesh instead of just the native private network offered by a VPC.

To quickly deploy the architecture, we will be using Terraform. With Terraform, we can automate the deployment process and have our infrastructure up and running in minutes.

Former AWS here.

My literal job for the last part of my time at AWS was "help triage bugs in the AWS SDK." This is by far the best repro I've ever seen for such an in-depth event.

Most of the tickets you get in open ticket trackers are incomplete [ https://github.com/boto/boto3/issues/4011 ] nonsensical [ https://github.com/boto/boto3/issues/4018 ] or weird [ https://github.com/boto/boto3/issues/358 ].

Recently, my colleague brought up the difficulty of using the AWS SDK for Python (Boto3) while working with DynamoDB, especially the cumbersome mapping of AttributeValue objects on the Table operations. One of the easiest ways to get around this difficulty is to switch from the clients interface to the resources interface.

A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example I've decided to expand our math functionality with NumPy. pdm add is what's used to add dependencies like this to our project:

The updates could be parsed from the github repo's CHANGELOG files (ex: javascript, java, python). I'm picturing an RSS feed generated for a specific language and module (ex: python s3, javascript s3, java sqs)

This can be quite annoying because it makes you wonder why the high-level API isn't able to deal with these common data types. Part of the reason for this is most likely that floats in Python can be counter-intuitive, so Decimal is a better data type if you want numbers to behave as non-computer-scientists expect it. To learn more about these complexities, check out this discussion on GitHub about implementing float support in boto3 and the Python documentation on the subject. Additionally, DynamoDB has no native DateTime data type, so there is no straightforward mapping.

AWS Data Wrangler is a Python library that simplifies the process of interacting with various AWS services, built on top of some useful data tools and open-source projects such as Pandas, Apache Arrow and Boto3. It offers streamlined functions to connect to, retrieve, transform, and load data from AWS services, with a strong focus on Amazon S3.

Alternatively, you could create a Python script using either Boto3 or her asynchronous sister, aioBoto3 that will spin through the contents of the origin bucket and move it over to the destination.

Once my site was stood up, I needed to build out the user count API. Through the console, I set up a DynamoDB table and created a user count item. Getting my lambda to interface with AWS resources was a breeze with the Boto3 SDK. You can see my Python code that increments the user count whenever someone visits the site here. The key is the usage of the update_item method that comes from Boto3.

If you want to get a feel for what kind of logging and how much logging is done in projects, boto3 is a very widely used SDK created by Amazon: https://github.com/boto/boto3