Building a 12-factor principle application with AWS and Microsoft Azure

                                                                                        Photo by Krisztian Tabori on Unsplash

                        In this article, I want to provide the services available to build the 12-factor applications on AWS and Microsoft Azure.

12-Factor Principles Amazon Web Services Microsoft Azure
Codebase
One codebase tracked in revision control, many deploys
AWS CodeCommit Azure Repos
Dependencies
Explicitly declare and isolate dependencies
AWS S3 Azure Artifacts
Config
Store config in the environment
AWS AppConfig App Configuration
Backing services
Treat backing services as attached resources
Amazon RDS, DynamoDB, S3, EFS and RedShift, messaging/queueing system (SNS/SQS, Kinesis), SMTP services (SES) and caching systems (Elasticache) Azure Cosmos DB, SQL databases, Storage accounts, messaging/queueing system(Service Bus/Event Hubs), SMTP services, and caching systems (Azure Cache for Redis)
Build, release, run
Strictly separate build and run stages
AWS CodeBuild
AWS CodePipeline
Azure Pipelines
Processes
Execute the app as one or more stateless processes
Amazon ECS services
Amazon Elastic Kubernetes Service
Container services
Azure Kubernetes Service (AKS)
Port binding
Export services via port binding
Amazon ECS services
Amazon Elastic Kubernetes Service
Container services
Azure Kubernetes Service (AKS)
Concurrency
Scale-out via the process model
Amazon ECS services
Amazon Elastic Kubernetes Service
Application Auto Scaling
Container services
Azure Kubernetes Service (AKS)
Disposability
Maximize robustness with fast startup and graceful shutdown
Amazon ECS services
Amazon Elastic Kubernetes Service
Application Auto Scaling
Container services
Azure Kubernetes Service (AKS)
Dev/prod parity
Keep development, staging, and production as similar as possible
AWS Cloud​Formation Azure Resource Manager
Logs
Treat logs as event streams
Amazon CloudWatch
AWS CloudTrail
Azure Monitor
Admin processes
Run admin/management tasks as one-off processes
Amazon Simple Workflow Service (SWF) Logic Apps

Siva Janapati is an Architect with experience in building Cloud Native Microservices architectures, Reactive Systems, Large scale distributed systems, and Serverless Systems. Siva has hands-on in architecture, design, and implementation of scalable systems using Cloud, Java, Go lang, Apache Kafka, Apache Solr, Spring, Spring Boot, Lightbend reactive tech stack, APIGEE edge & on-premise and other open-source, proprietary technologies. Expertise working with and building RESTful, GraphQL APIs. He has successfully delivered multiple applications in retail, telco, and financial services domains. He manages the GitHub(https://github.com/2013techsmarts) where he put the source code of his work related to his blog posts.

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Posted in Cloud Computing

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