Projects with this topic
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GitLab CI pipeline with AI-powered code review using Claude and Gemini.
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Obraz Docker image trivy przeznaczony dla procesów CI/CD i devcontainers.
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Toolchain image for the Coroboros security gates.
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Trivy is the most popular open source security scanner
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Production-minded Kubernetes platform with GitLab CI/CD, Docker, Helm, Prometheus, Grafana and Trivy security scanning.
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Python QA automation cookbook with reusable recipes for API testing, pytest patterns, CI/CD pipelines, Dockerized execution, Allure reporting, quality gates, and security scanning.
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The purpose of this project is to improve pipeline performance when scanning for vulnerabilities in containers by providing a prebuilt Docker container where the vulnerability database is already downloaded
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Gitlab CI/CD template that facilitates scan targets against security issues
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Production-ready Docker image and CI pipeline for Wanderer Route Builder.
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Production-ready Docker image and GitLab CI build pipeline for Wanderer.
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GitLab CI component for Trivy scanning
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CI/CD pipeline and container configuration for the Tetris App. Jenkins builds, scans, versions, and pushes the image on every commit. ArgoCD picks up the change and triggers a canary rollout on EKS.
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Jenkins Shared Library. Reusable Trivy scanning and email reporting functions for the Tetris App CI/CD pipeline.
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Jenkins pipeline that runs Trivy vulnerability scans on a Maven Java application before allowing code to proceed to staging. Generates a CSV report, prompts the developer to proceed or abort on findings, and emails the report if the pipeline is stopped.
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Cloud-native DevOps portfolio project with Docker, Kubernetes, GitLab CI/CD, Terraform, AWS and Trivy.
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Automate your GitLab CI/CD release process with gitlab-semantic-release, leveraging semantic versioning to manage version bumps, changelog updates, and GitLab releases. Built with Node.js and Docker, it includes security scanning for robust and secure deployments.
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This repository provides a comprehensive, production-grade blueprint for a modern DevSecOps pipeline. It showcases the integration of GitLab CI/CD, Terraform, HashiCorp Vault, and various security tools to build, test, and deploy a containerized Python application to AWS securely and efficiently.
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