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Vnod Kumar Vashistha's Projects

aws-app-mesh-examples icon aws-app-mesh-examples

AWS App Mesh is a service mesh that you can use with your microservices to manage service to service communication.

aws-app-runner icon aws-app-runner

AWS App Runner is a fully managed service that makes it easy for developers to quickly deploy containerized web applications and APIs, at scale and with no prior infrastructure experience required. Start with your source code or a container image. App Runner automatically builds and deploys the web application and load balances with encrypted

aws-devops-end-to-end-workshop icon aws-devops-end-to-end-workshop

AWS DevOps End-to-End Workshop is a guide to walk you through the most common development activities when developing a typical web application with front-end, microservices in a serverless architecture, and a DynamoDB database as a data store. Built on top of AWS Bookstore Demo App and Cloud 9 Bootstrapping.

aws-doc-sdk-examples icon aws-doc-sdk-examples

Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.

cloudcomparer icon cloudcomparer

Compare the various managed cloud services offered by the major public cloud providers in the market.

django-saml-service-provider-master icon django-saml-service-provider-master

Easily let users sign in via SAML 2.0 to your django app. Based on python-saml and comes with a Onelogin.com provider, so you need to do very little work to get started.

modules_terraform icon modules_terraform

modules_terraform repository provides you with the drection and insights that how can you separate your environemtns.

python-eureka-client icon python-eureka-client

A eureka client written in python. Support registering your python component to Eureka Server, as well as calling remote services by pulling the the Eureka registry.

real-time-analytics-with-amazon-redshift-streaming icon real-time-analytics-with-amazon-redshift-streaming

Amazon Redshift streaming ingestion allows you to connect to Kinesis Data Streams directly, without the latency and complexity associated with staging the data in Amazon S3 and loading it into the cluster. You can now connect to and access the data from the stream using SQL and simplify your data pipelines by creating materialized views directly.

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