{"id":21042874,"url":"https://github.com/erankitcs/multicloud-imageprocessingwebapp","last_synced_at":"2025-07-19T01:34:16.435Z","repository":{"id":118644154,"uuid":"337059364","full_name":"erankitcs/MultiCloud-ImageProcessingWebApp","owner":"erankitcs","description":"In this project, we would be creating a multi cloud image processing web application.","archived":false,"fork":false,"pushed_at":"2021-03-14T14:30:06.000Z","size":8669,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-13T21:44:07.302Z","etag":null,"topics":["aws","aws-lambda","azure","azure-cognitive-services","gcp","gcp-firebase","multicloud","nodejs","serverless","terraform","terraform-cloud","terraform-project"],"latest_commit_sha":null,"homepage":"","language":"HCL","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/erankitcs.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-02-08T11:50:57.000Z","updated_at":"2024-05-27T11:39:57.000Z","dependencies_parsed_at":null,"dependency_job_id":"2766a270-f058-4a67-9aa3-40ee7f8c09c3","html_url":"https://github.com/erankitcs/MultiCloud-ImageProcessingWebApp","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/erankitcs/MultiCloud-ImageProcessingWebApp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/erankitcs%2FMultiCloud-ImageProcessingWebApp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/erankitcs%2FMultiCloud-ImageProcessingWebApp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/erankitcs%2FMultiCloud-ImageProcessingWebApp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/erankitcs%2FMultiCloud-ImageProcessingWebApp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/erankitcs","download_url":"https://codeload.github.com/erankitcs/MultiCloud-ImageProcessingWebApp/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/erankitcs%2FMultiCloud-ImageProcessingWebApp/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265871378,"owners_count":23842022,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["aws","aws-lambda","azure","azure-cognitive-services","gcp","gcp-firebase","multicloud","nodejs","serverless","terraform","terraform-cloud","terraform-project"],"created_at":"2024-11-19T14:09:20.311Z","updated_at":"2025-07-19T01:34:16.425Z","avatar_url":"https://github.com/erankitcs.png","language":"HCL","readme":"## Multi Cloud Image Processing Web Application\n\nIn this project, we would be creating a multi cloud image processing web application.\n\n### Cloud Providers\n1. AWS\n2. Azure\n3. GCP\n\n### AWS \nWe would be using AWS for image storage and  stitching togather web application interaction with other services.\n- AWS S3 for Image Storage and Lambda Code Artificats.\n- AWS Lambda for eventing the image processing application and providing secure access to S3 bucket.\n- AWS API Gateway will be publishing the API for Web Application.\n\n### Azure\nWe would be using Azure for image analysis.\n- Azure Conginitive Service ( Computer Vision API) will be used for image processing.\n\n### GCP\nGCP would be used for realtime database.\n- GCP Firestore for realtime database.\n\n### Setup\n1. Install AWS CLI and run `aws configure`  to connect AWS.\n2. Use `az login -u \u003cuser\u003e -p \u003cpassword\u003e` to connect Azure.\n3. Create a service account into GCP project and download service account key json file.\n4. Install gcloud and run `gcloud auth activate-service-account \u003cservice account\u003e --key-file=\u003cjson filepath\u003e`\n5. For windows, run `$env:GOOGLE_APPLICATION_CREDENTIALS=\"\u003cjson file path\u003e\"`\n### Architecure\n![Screenshot](MultiCloud-ImageLense.png)\n\n### Screen\n![Screenshot](MultiCloud-ImageLense-screen.PNG)\n\n### Improvements\n1. User SingUp and SignIn.\n2. Authenticate API Gateway.\n3. Expose Image to user via Cloud Front.\n4. Blue/Green Deployment for Lambda Function.\n5. Elastic Beanstalk for NodeJs Front End Application.","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ferankitcs%2Fmulticloud-imageprocessingwebapp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ferankitcs%2Fmulticloud-imageprocessingwebapp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ferankitcs%2Fmulticloud-imageprocessingwebapp/lists"}