Building a Microservices Platform, Patterns and Best Practices
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1 Building a Microservices Platform, Patterns and Best Practices Sascha Möllering, Solutions May 29th, , Amazon Web Services, Inc. or its Affiliates. All rights reserved.
2 What to Expect from the Session Microservices Architecture Amazon ECS The Twelve-Factor App with Amazon ECS
3 Microservices Architecture
4 What are microservices? A software architecture style in which complex applications are composed of small, independent processes communicating with each other using language-agnostic APIs. These services are small, highly decoupled and focus on doing a small task, facilitating a modular approach to system-building. - Wikipedia
5 Monolithic vs. Microservices Order UI Order Service Inventory Service Shipping Service.package webserver OrderUI Inventory Service Shipping Service Order Service
6 Characteristics of Microservice Architectures Decentralized Polyglot Independent Do one thing well Black box You build it, you run it
7 Why Amazon ECS Fully managed elastic service You don t need to run anything, and the service scales as your microservices architecture grows Shared state optimistic scheduling Integration with CloudWatch service for monitoring and logging Integration with Code* services for continuous integration and delivery (CI/CD)
8 Deploying Containers on ECS Choose a Scheduler Batch Jobs ECS task scheduler Run tasks once Batch jobs RunTask (random) StartTask (placed) Long-Running Apps ECS service scheduler Health management Scale-up and scale-down AZ aware Grouped containers
9 WatchBot SQS Watcher Container Running Tasks 500 million ECS Cluster Data Processing Services Peak Container Instances Compute Hours Used in 2016
10 Amazon ECS: Under the Hood ALB user / scheduler ALB AZ 1 AZ 2 Scheduler Cluster State Service Event Stream Placement Engine
11 The Twelve-Factor App with Amazon ECS
12 The Twelve-Factor App 1. Codebase 2. Dependencies 3. Config 7. Port Binding 8. Concurrency 9. Disposability 4. Backing Services 5. Build, Release Run 6. Processes 10. Dev/Prod parity 11. Logs 12. Admin Processes
13 Reference Architectures
14 Example Microservice Architecture on ECS Amazon Route 53 ECS Cluster Application Load Balancer Amazon RDS ECS Cluster Amazon API Gateway* Amazon ECR IAM Amazon CloudWatch
15 Amazon ECS Reference Architecture Internet Gateway Nat Gateway Public Subnet Application Load Balancer Public Subnet Nat Gateway Container Instance Container Instance AutoScaling Group Container Instance Container Instance Private Subnet Availability Zone Private Subnet Availability Zone CloudWatch Logs (container logs)
16 Automatic Service Scaling Auto Scaling ECS service Add/Remove ECS tasks Availability Zone A Availability Zone B Amazon ECS TASK A TASK C Scaling Policies TASK B Publish metrics Amazon CloudWatch Application Load Balancer
17 IAM Roles For Tasks ECS Cluster EC2 Instance EC2 Instance TASK A TASK B TASK B Amazon DynamoDB Amazon S3
18 Continuous Deployment in Amazon ECS 5 6 AWS CloudFormation Amazon ECS Developers AWS CodePipeline 3 4 AWS CodeBuild Amazon ECR
19 Blue-Green Deployments 100% 0% Route 53 record set with weighted routing policy Task Task
20 Secrets Management EC2 Instance TASK A EC2 Instance TASK B prod.app1.db-pass general.license-code prod.app2.user-name TASK B EC2 System Manager Parameter Store ECS Cluster
21 Service Discovery with Route 53 and Application Load Balancers mydomain.com mydomain.com mydomain.com/weather Amazon Route 53 mydomain.com/auth Application Load Balancer i-aaa i-bbb i-ccc oauth Target Group 8080 Weather Target Group i-aaa i-bbb i-ccc Portal Target Group ECS Cluster
22 Consuming Events for Service Discovery app1-tst à db1-tst à app2 à db2 à my-app à db-devà websrv1à websrv2à websrv3à app-dev1à app-dev2à app-dev3à
23 Amazon ECS Container Instances app1-tst à db1-tst à app2 à db2 à my-app à db-devà websrv1à websrv2à websrv3à app-dev1à app-dev2à app-dev3à Amazon CloudWatch Amazon Route 53 AWS Lambda
24 A Call to Action
25 Try It out Build Learn Deploy
26 Thank You
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