- 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.

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

4. DevOps : CI-CD-CD

5. Microservices world

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

13. MicroServices in AWS

14. AWS Container Solutions

15. AWS ECS advantages

16. Fargate Introduction

17. Fargate Introduction … (contd)

18. AWS Fargate

19. AWS Fargate Task

20. Fargate task

21. AWS Fargate Task Details

22. ECS Fargate Coexistance

23. ECS Fargate Networking

24. ECS Fargate Permissions

25. ECS Fargate security

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