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 CloudFormation | 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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