Micro service in aws meetup
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- The document discusses microservices in AWS and how AWS provides various native cloud services like load balancers, databases, container orchestration to deploy microservices architectures. It covers services like ECS, EKS, ECR, Lambda and how Fargate provides a serverless option for running containers without having to manage servers. It also discusses CI/CD pipelines and deployment of microservices applications on AWS.
Micro service in aws meetup
- 1. MicroServices in AWS -Kiran Divekar
- 2. Technical Architect 19 years of development experience in system programming, embedded systems, Linux kernel and Networking domains. Working on architecting and designing variety of projects in the areas of container security, Openstack plugins, All cloud migrations, SDN systems and NFV development and performance Leading multiple projects based on Containers ecosystem involving Kubernetes, Mesos, micro- services stack validation, distributed systems based on kafka messaging, deployments into public Cloud platforms. Prior to Calsoft, designed and developed software solutions in the areas of network switches platform and protocols, device drivers and SDKs for Marvell 802.11 chipsets. Bachelors degree in Computer science from Government college of Engineering, Pune (COEP) , June 2000
- 3. Agenda: Move around Containers, MicroServices Cloud Native AWS and tools Fargate Questions
- 6. ApplicationModernization Main aspects of application migration • Re-host (Lift and Shift) • Its about re-deploying to an IaaS environment and change application configuration to suit new virtual environment. • No changes to source code; just adapt to new environment • Preferred option to save data center costs • Re-architect (Cloud-Native Microservices) • Adapting to new software framework and changing the source code accordingly • Complete advantage of cloud native features • Depends upon long term vision of the applications
- 7. Next-Gen App Deployment: Efficient Container Management Microservices Architecture: • Decomposed into small pieces • Loosely coupled • Easier to scale development • Improved fault isolation • Each service can be developed and deployedindependently • Eliminatesany long-term commitment to a technology stack
- 8. Common Cloud Deployment Models Virtual Machine s Containe rs • Mesos • Docker/Kub ernettes Serverless
- 9. Container Management Platform is Emerging • ContainerManagement Platforms are also known as containermanagers, containerorchestration engines (COEs), containerorchestrationplatforms and containers-as-a-service(CaaS) platforms. • It helps enterprises address the challenges of deployingcontainers.These platforms let administratorsmonitor, manage, secure, and scale containerssimilarto how they treat existing servers and virtualmachines. Bare Metal / Virtualization Environment On-prem / off-prem Auto-scaling / Upgrade Image Management (Appstore, registry) Service Registration & Discovery Security / Compliance Routing & Load Balancing Monitoring & Logging Scheduling HA / Backup & Restore
- 10. Scaling Architecture Scaling Service Cloud controller 6. Aggregate & generate alarms for scaling service 7. Scaling decisions 8. trigger scaling action 9. Clouddeployment of scaled apps DEA Warden ag en t Warden ag en t … A P P A P P DEA Warden ag en t Warden ag en t … A P P A P P App containers … APP APP Persistent Service 1. Policy specification (e.g. cpu>90% scale by 10) Monitoring Service 2. Alert Set 3. Metrics 4. Publish metrics Agent 1Agents Configure
- 11. Cloud Services – AWS as example ©2019 Calsoft.All Rights Reserved. 11 Public clouds like AWS provide various cloud native services for MicroServicesdeployment. These services include Front end: CloudFront load balancers: ALB Backend catchingservice like ElasticCache SQL Databaselike Aurora NoSQL databaselike DynamoDB Kubernetes service like EKS Amazon elastic ContainerRegistry (ECR) DynamoDB accelerators(DAX) AWS App Mesh as Service Mesh These cloud services can replace various services needed for MicroServicescomponents. We just need to write deployment and monitoring frameworks to make sure services are up and running. There are costs associated while using services from AWS
- 12. Serverless Cloud provider enables deployments of code into platform •Ephemeral containers •Functionasa service API developer is not concerned with provisioning of computeresources Typically limited platform options •Commonoptions:JavaScript, PythonandJava Examples •AWS Lambda •Google CloudFunctions •MicrosoftAzure Functions •Monitoringproducts •Log Analysis Source: internet
- 17. Fargate Introduction … (contd)
- 18. AWS Fargate
- 19. AWS Fargate Task
- 20. Fargate task
- 21. AWS Fargate Task Details
- 26. AWS Fargate: Launch Type
- 27. MicroServices in AWS – New Stage
- 28. MicroServices in AWS – CI-CD
- 29. Let me try “aws-samples on github.com” •https://github.com/aws- samples/amazon-ecs- mythicalmysfits-workshop