Articles tagged with "codebuild"

When developing applications, particularly in the realm of containerization, CI/CD workflows and pipelines play an important role in ensuring automated testing, security scanning, and seamless deployment. Leveraging a pipeline-based approach enables fast and secure shipping of new features by adhering to a standardized set of procedures and principles. Using the AWS cloud’s flexibility amplifies this process, facilitating even faster development cycles and dependable software delivery. In this blog post, I aim to demonstrate how you can leverage AWS CodePipeline and Amazon ECS alongside Terraform to implement an automated CI/CD pipeline. This pipeline efficiently handles the building, testing, and deployment of containerized applications, streamlining your development and delivery processes.

When leveraging AWS services such as EC2, ECS, or EKS, achieving standardized and automated image creation and configuration is essential for securely managing workloads at scale. The concept of a Golden AMI is often used in this context. Golden AMIs represent pre-configured, hardened and thoroughly tested machine images that encompass a fully configured operating system, essential software packages, and customizations tailored for specific workload. It is also strongly recommended to conduct comprehensive security scans during the image creation process to mitigate the risk of vulnerabilities. By adopting Golden AMIs, you can ensure consitent configuration across different environments, leading to decreased setup and deployment times, fewer configuration errors, and a diminished risk of security breaches. In this blog post, I would like to demonstrate how you can leverage AWS CodePipeline and AWS Stepfunctions, along with Terraform and Packer, to establish a fully automated pipeline for creating Golden AMIs.

When deciding which Infrastructure as Code tool to use for deploying resources in AWS, Terraform is often a favored choice and should therefore be a staple in every DevOps Engineer’s toolbox. While Terraform can increase your team’s performance quite significantly even when used locally, embedding your Terraform workflow in a CI/CD pipeline can boost your organization’s efficiency and deployment reliability even more. By adding automated validation tests, linting as well as security and compliance checks you additionally ensure that your infrastructure adheres to your company’s standards and guidelines. In this blog post, I would like to show you how you can leverage the AWS Code Services CodeCommit, CodeBuild, and CodePipeline in combination with Terraform to build a fully-managed CI/CD pipeline for Terraform.

I was searching for an AWS-native solution that would deploy resources via Terraform, allow them to do some work, and then destroy them properly without leaving any orphaned resources. Also, multiple of those Terraform deployments needed to be live at the same time. The solution I found is a combination of AWS CodeBuild, AWS Step Functions, a Terraform State being managed in S3 and Terraform Workspaces.

Building a static website with Hugo and the CDK If you ever wanted to host your personal website or blog on AWS this article is right for you. We’re going to build a static website with Hugo, CodeBuild and CodePipeline and host it using CloudFront and S3. We will set up everything you need to build and deploy new versions of the Website.