Set of standalone and reusable AWS/DevOps solutions implemented as Terraform modules 🇺🇦
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Updated
Jun 28, 2023 - HCL
Set of standalone and reusable AWS/DevOps solutions implemented as Terraform modules 🇺🇦
This repository helps performance testers and engineers who wants to dive into DevOps and SRE world.
This repository consist of various end-to-end devops projects in AWS. For all of the projects, infrastructure creation is automated using Terraform so that you can start using the projects with just few commands instead of going to AWS console and creating everything manually.
AWS DevOps examples. Provisioning of CI/CD pipelines in AWS (CodeCommit , CodeBuild, CodeDeploy and CodePipeline)
Complete workflow to run Terraform code inside AWS CodeBuild Project using CodePipeline, S3, IAM & CodeCommit.
IRevolutionize your AWS environment with our DevOps CI/CD project. Streamline workflows, automate deployments, and enhance collaboration for seamless development. Experience efficiency and scalability in the cloud with cutting-edge DevOps practices on AWS.
Control, Create, Run named workflows & tasks with before/after middlewares support, data persistence, orm, authentication, logging, multi-threading/processing, events, network sockets, webhooks, client-agent libraries, etc with plugins support [Actively Developed, Funding Invited] - pip3 install taskcontrol https://pypi.org/project/taskcontrol
Control, Create, Run named workflows & tasks with before/after middlewares support, data persistence, orm, authentication, logging, multi-threading/processing, events, network sockets, webhooks, client-agent libraries, etc with plugins support [Actively Developed, Funding invited] - npm install taskcontrol https://www.npmjs.com/package/taskcontrol
In few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market for new product capabilities.
This repository contains a Go-based Weather Application that is built and deployed using AWS CodeBuild and CodeDeploy. The Docker image of the application is uploaded to Docker Hub, and the continuous integration and continuous deployment pipeline is orchestrated using AWS DevOps services.
In this project, we will operationalize a Machine Learning Microservice API.
creation and deployment of ”FLavorful,” a sophisticated dynamic cloud-based application running on AWS and built with the Python Django framework.
AWS DevOps : This is repo for AWS Jenkins node.js app in purpose of jenkins implementation with Node.js App on AWS
This project’s objective is to build a CI/CD pipeline utilizing the DevSecOps approach to guarantee the application is delivered without interruption.
This repo was provisioned with terraform. - This project will create resources on AWS.
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