AWS Provisioning and Deployment with Linux EC2 instances using PowerShell

I didn’t expect to find myself needing to learn PowerShell for automation purposes, but I must admit I really like it. It seems sort of like an amalgam of Bash, Perl and Python. It’s an unexpectedly impressive creation from Microsoft. I’ve been using PowerShell on macOS but it can also be used easily on Linux, and Windows of course.

I created three simple PowerShell scripts for automated provisioning of Linux EC2 instances within AWS. Running these will provision an Amazon Linux 2 EC2 instance with SSH key pair and Security Group, with a webapp deployed thereon, plus an associated DNS record in Route 53.

You can find these scripts and related config here on my GitHub.

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How to provision an ECS cluster and deploy a webapp on it with load-balanced Docker containers, using Ansible

I wrote a suite of Ansible playbooks to provision an ECS (Elastic Container Service) cluster on AWS, running a webapp deployed on Docker containers in the cluster and load balanced from an ALB (Application Load Balancer), with the Docker image for the app pulled from an ECR (Elastic Container Registry) repository.

This is a follow-up to my project/article “How to use Ansible to provision an EC2 instance with an app running in a Docker container” which explains how to get a containerised Docker app running on an regular EC2 instance, using Docker Hub as the image repo. That could work well as a simple Staging environment, but for Production it’s desirable to easily cluster and scale the containers with a load balancer, so I came up with this solution for provisioning/deploying on ECS which is well-suited for this kind of flexibility. (To quote AWS: “Amazon ECS is a fully managed container orchestration service that makes it easy for you to deploy, manage, and scale containerized applications”.) This solution also uses Amazon’s own ECR for Docker images, rather than Docker Hub.

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How to use Ansible to provision an EC2 instance with an app running in a Docker container

I created this suite of Ansible playbooks to provision a basic AWS (Amazon Web Services) infrastructure on EC2 with a Staging instance, and to deploy a webapp on the Staging instance which runs in a Docker container, pulled from Docker Hub.

Firstly a Docker image is built locally and pushed to a private Docker Hub repository, then the EC2 SSH key and Security Groups are created, then a Staging instance is provisioned. Next, the Docker image is pulled on the Staging instance, then a Docker container is started from the image, with nginx set up on the Staging instance to proxy web requests to the container. Finally, a DNS entry is added for the Staging instance in Route 53.

This is a simple Ansible framework to serve as a basis for building Docker images for your webapp and deploying them as containers on Amazon EC2. It can be expanded in multiple ways, the most obvious being to add an auto-scaled Production environment with Docker containers and a load balancer. (For Ansible playbooks suitable for provisioning an auto-scaled Production environment, check out my previous article and associated files “How to use Ansible for automated AWS provisioning”.) More complex apps could be split across multiple Docker containers for handling front-end and back-end components, so this could also be added as needed.

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How to automate provisioning and deployment of RabbitMQ with cert-manager on a Kubernetes cluster in GKE within GCP

I was brought in by a startup to set up their core infrastructure in a way that functioned as needed and could be automated for safe and efficient provisioning and deployment. The key requirement was making RabbitMQ work only with secure certificate-based connections – the AMQPS protocol, rather than AMQP – for security and compliance purposes. This needed to be done within a Kubernetes cluster for storage and shared states via StatefulSets, ease of scaling and deployment, and general flexibility. It was also necessary to set this up on GCP (Google Cloud Platform) as that was already in use by the startup and they didn’t want to consider alternative cloud providers at this stage, so GKE (Google Kubernetes Engine) needed to be used for the Kubernetes cluster.

Getting certificates for use with RabbitMQ within Kubernetes required the setup of cert-manager for certificate management, which in turn needed ingress-nginx to allow incoming connections for Let’s Encrypt verification so that certificates could be issued.

I successfully solved the problems and fulfilled the requirements. It’s still a “work in progress” to some extent. Some of the config is a little “rough and ready” and could be improved with more modularisation and better use of variables and secrets. Also, the initial cluster provisioning is fully automated with Terraform, and the rest is only semi automated currently. So there is room for further improvement.

All the code and documentation is available on my GitHub repository here. Below I will explain the whole process from start to finish.

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How to use Ansible for automated AWS provisioning

I’ve recently produced a series of articles aimed at startups, entrepreneurial solo developers, etc. wanting to take their first steps into Amazon Web Services (AWS) setups for app deployment:

I then wanted to move on from discussing manual setup via the GUI interface of the AWS web console, to DevOps-style command-line programmatic setup for automated provisioning of an AWS infrastructure for app deployment, i.e. infrastructure as code (IaC). I have therefore created a suite of Ansible playbooks to provision an entire AWS infrastructure with a Staging instance and an auto-scaled load-balanced Production environment, and to deploy a webapp thereon. The resulting set of Ansible AWS provisioning playbooks and associated files can be found in my GitHub repository, so go ahead and grab it from there if you want to try them out. Keep reading for information on how to set up and use the playbooks (and you can also refer to the README in the repo folder, which contains much of the same information).

With these playbooks, firstly the EC2 SSH key and Security Groups are created, then a Staging instance is provisioned, then the webapp is deployed on Staging from GitHub, then an image is taken from which to provision the Production environment. The Production environment is set up with auto-scaled EC2 instances running behind a load balancer. Finally, DNS entries are added for the Production and Staging environments.

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