sumeet-y1/aws-devsecops-pipeline — explained in plain English
Analysis updated 2026-05-18
See a working reference for adding automated secret scanning to a CI/CD pipeline.
Learn how a dependency vulnerability check can block a deployment before it reaches production.
Study a Terraform setup that provisions a full AWS environment for a containerized app.
Use as a starting template for a security-gated deployment pipeline on AWS.
| sumeet-y1/aws-devsecops-pipeline | anas727189/devsecops-pipeline | edwinjdevops/damolak-challenge | |
|---|---|---|---|
| Stars | 0 | 0 | 0 |
| Language | HCL | HCL | HCL |
| Setup difficulty | hard | — | hard |
| Complexity | 4/5 | — | 3/5 |
| Audience | ops devops | ops devops | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires an AWS account, Terraform, Docker, Java 21, and configured GitHub Actions secrets to deploy.
This project is an example setup that shows how a company might automatically check code for security problems before letting it go live. It includes a small Java web application, but the real focus is the pipeline built around it: every time code is pushed to the main branch, a sequence of automated checks runs before anything is deployed to the cloud. Three security tools run in order. First, a tool called GitLeaks searches the entire history of the code for accidentally committed passwords, API keys, or other secrets. Second, a dependency checker scans every library the project uses against a public database of known vulnerabilities, and stops the pipeline if anything scores high enough to be considered a serious risk. Third, once the application is packaged into a container image, another tool called Trivy scans that image itself for known security flaws. If any of these three checks fail, the deployment is blocked and nothing reaches the live server. The README includes a real example of the pipeline catching Log4Shell, a well known and severe vulnerability that affected many servers in 2021, showing that the setup would have stopped it before deployment. The infrastructure itself, meaning the servers, network, and load balancer the application runs on, is defined as code using Terraform, so the entire cloud environment can be created or torn down with a couple of commands rather than being clicked together manually in a web console. Everything is hosted on Amazon Web Services, with the automated checks and deployment steps running through GitHub Actions whenever code is pushed. This is meant for developers or teams who want a working reference for adding automated security scanning into their own deployment pipeline, and it requires an AWS account, Terraform, Docker, and Java to set up.
A reference pipeline that automatically scans code, dependencies, and container images for security issues before deploying a Java app to AWS.
Mainly HCL. The stack also includes Terraform, Java, Docker.
No license information was found in the README, so usage rights are unclear.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Verify against the repo before relying on details.