abakhouz Goto Github PK

ansible

awesome-dynamic-analysis

A curated list of dynamic analysis tools for various programming languages

awesome-static-analysis

Static analysis tools for all programming languages

azure-pipelines-tasks

Tasks for Azure Pipelines

cf-for-k8s

The open source deployment manifest for Cloud Foundry on Kubernetes

cicd-pipeline-train-schedule-dockerdeploy

Train Schedule sample app for Jenkins Pipelines CD with Docker exercises

code-analysis

A technique for running SonarQube in Kubernetes. Also, a gathering of code analysis plugins for Gradle.

containeroo

containeroo-repositories

containeroo_clone

content-gitops

445, John Marx, 11/18/19

course_kubernetes_deep_dive_np

A Cloud Guru - Kubernetes Deep Dive

datasciencecoursera

repo called datasciencecoursera created by ahmed bakhouz

datasharing

The Leek group guide to data sharing

demohelmrepo

Repo for Helm Charts

developing-data-products-project

devops-workflow-for-automatically-building-and-analyzing-software-applications

This project simulates the DevOps environment from developers pushing their code to automated building, testing and analyzing of code. Our Java project simulates this process by downloading repositories from GitHub, uploading each repository to a local GitLab server, which triggers the build process and code analysis in the locally installed Jenkins server. Our Jenkins server configuration built, tested and analyzed project code using JaCoCo and Understand. Our implementation of the DevOps environment focused on Java Maven applications containing unit tests and JaCoCo support. The project is implemented in Java and built with Gradle. GitHub, GitLab, and Jenkins Java APIs are used to access GitHub.com, the local GitLab server, and the local Jenkins server from the Main.java file. The JGit Java library is used for git repository management within our project. These dependencies are documented in the build.gradle file. We were able to successfully perform a stress test of our Java application by pushing 54 Github projects through our DevOps simulation without error. From the execution of our application to the last job being built in Jenkins, it took approximately 20 minutes. 25 out of the 54 applications built successfully some of which had included JaCoCo code coverage, unit testing results, and produced Understand code analysis. The remaining 29 failed for a variety of reasons such as missing pom.xml build file, failed unit tests, missing plugins, etc. Please note that our application only pulls the first 100 repository results of our GitHub.com query due to GitHub API limitations. Despite this GitHub API limitation, during our stress test we found that 100 repositories was enough to produce a sufficient number of successful builds.

do101-apps

dotnet

epiphany

Epiphany at its core is a full automation of Kubernetes and Docker plus additional builtin services/components like: - Kafka or RabbitMQ for high speed messaging/events - Prometheus and Alertmanager for monitoring with Graphana for visualization - Elasticsearch and Kibana for centralized logging - HAProxy for loadbalancing - Postgress for storage - KeyCloak for authentication

exploratory-data-analysis

exploratory-data-analysis-project2

general-grants-program

Web3 Foundation General Grants Program

geocoder

Complete Ruby geocoding solution.

getting-and-cleaning-data-project

Getting and Cleaning Data Project

getting-and-cleaning-data-project-update

gorsync

Utility around rsync using config files

gradle-cloud-deployer

Gradle plugin to deploy applications to Kubernetes and DC/OS Marathon

gradle-docker-plugin

Gradle plugin for managing Docker images and containers.

gradle-plugin

Jenkins gradle plugin