Application Modernization Agility on AWS Cloud
Application Modernization
Application modernization is the process of refactoring an organization’s legacy apps to a cloud-native approach. It is process of taking existing organization on-premises apps to modernize may involve migrating those apps to a various cloud type i.e., private, public, hybrid in other words migrating from Monolithic to Microservices architecture.
Pillars of application modernization
Architecture and Cloud Native Technology
DevOps Culture and Automation
Digital Transformation
Well defined process
Why modernize legacy apps?
Legacy applications are also often monolithic applications. Monolithic applications are difficult to update, and they are difficult and expensive to scale. Modernizing legacy applications help businesses update and optimize outdated technology systems to achieve effective business agility operational efficiency and scalable solutions.
Monolithic apps are difficult to update due to shared and rigid scaling. Because all of an application’s components having shared pipelines together, it is difficult and costly to add latest's features which leads to complexity and other challenges.
By modernizing an application to a microservices ( rearchitecting, rebuilding or replacing) in which each component is smaller, loosely coupled, and can be deployed and scaled independently of one another efficiently.
Benefits of application modernization
Business agility
Enhanced security and reliability
Scalability
Operational costs and customer satisfaction
efficient deployment of resources.
streamline infrastructure.
App modernization Phases
Assess and Planning
Architecting and modernize applications.
Operations and Maintenance
AWS offered services for Apps modernization
AWS Lambda : Run code without thinking about servers
Amazon API Gateway : Build, deploy, and manage APIs
AWS App sync : Accelerate app development with fully-managed, scalable GraphQL APIs
AWS Amplify : Build, deploy, host, and manage scalable web and mobile apps
AWS Codedeploy : Automate code deployments.
Amazon EC2 : Create and run virtual servers in the cloud.
Amazon Aurora : High performance managed relational database engine
Amazon RDS : Set up, operate, and scale a relational database in the cloud
Amazon ECS : Highly secure, reliable, and scalable way to run containers.
Amazon EKS : Run Kubernetes on AWS without operating your own Kubernetes clusters
Amazon SageMaker : -Build, train, & deploy machine learning models at scale.
AWS Serverless Application Repository : -Discover, deploy, and publish serverless applications.
Amazon SWF : Build applications that coordinate work across distributed components.
AWS Application Migration Service :-Automate application migration and modernization.
Amazon S3 : -Object storage built to retrieve any amount of data from anywhere.
Amazon SNS : -Pub/sub, SMS, email, and mobile push notifications.
AWS Database Migration Service :- Migrate databases with minimal downtime.
AWS Fargate : -Serverless compute for containers.
AWS Step Functions :- Coordinate components for distributed applications.
Challenges: -
Outdated and legacy systems
Knowledge deficit
Budget Allocation
Data silos and Migration
Application Modernization Best Practices
Adopt and re-architect for microservices distributed applications.
Prioritize applications to modernize first.
look for better data migrations solutions as per legacy or Monolithic applications.
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