In this workshop, attendees build a DevOps pipeline for deploying a data-driven web application to AWS and explore options for optimizing operational costs. Over the course of this workshop, you will use the AWS Cloud9 IDE and AWS CodeStar services to build and deploy an ASP.NET Core web application that uses a database backend to store catalog data. We first deploy the application on Amazon EC2 instances based on x86 CPUs against a Microsoft SQL Server database. We explore options for customers to optimize operational costs by up to 45% when redeploying the same application on Arm-based Amazon EC2 A1 instances running against an Amazon Aurora cluster. Please be sure to bring your laptop.

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Optimize costs: Migrate existing workloads
to the new A1 EC2 Instances
Andy Hopper
Solutions architect
AWS
C M P 3 0 1

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Setup and prerequisites (1)
Laptop or laptop-like device
Keyboard and terminal or shell access needed
Modern browser with third-party cookies enabled
Chrome or Firefox recommended; Internet Explorer will not work
Established AWS account with administrator permissions
Widespread permissions needed—IAM roles, virtual private clouds (VPCs), subnets, routes, Amazon Elastic
Cloud Compute (Amazon EC2), secrets, etc.

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Explore creating and running a standard web application
on x86 and Arm processors (e.g., eSHOP website)

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Users
VPC
Amazon EC2
Autoscaling Group
(Arm)
AWS CodeBuild
AWS CodeCommit
AWS CodeDeploy
AWS CodePipeline
AWS CloudFormation
AWS Application
Load Balancer
Amazon RDS
(SQL Server)

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Users
VPC
Amazon EC2
Autoscaling Group
(Arm)
AWS CodeBuild
AWS CodeCommit
AWS CodeDeploy
AWS CodePipeline
Amazon Aurora
(MySQL)
AWS CloudFormation
AWS Application
Load Balancer

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Launch the AWS CloudFormation template
Go to http://armworkshop.com/ to load initial setup
of AWS CloudFormation template
Follow instructions on next slide
Important! You will
need an Amazon
EC2 key pair

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Setup and prerequisites (2)
Click Next three times (you may need to scroll down)
Check both capabilities check boxes, and click Create stack
Make sure you are using the new
AWS CloudFormation console (announced
November 2018)

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New console (wanted)

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Old console (unwanted)

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Make sure you pick the Amazon EC2 key pair that you
created for SCTHostKeyName!
It takes 15–20 minutes for CREATE_COMPLETE status, so let’s review what we’ll be
working with today

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In the beginning…

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Compute: Broadest and deepest platform choice
Categories Capabilities Options
Choice of processor
(AWS, Intel, AMD)
Fast processors
(up to 4.0 GHz)
High-memory footprint
(up to 12 TiB)
Instance storage
(HDD and NVMe)
Networking
(up to 100 Gbps)
Accelerated computing
(GPUs and FPGA)
Bare metal
Size
(nano to 32x large)
Amazon Elastic Block Store
(Amazon EBS)
Elastic inference
Elastic graphics
+ =
Compute intensive
Memory intensive
Burstable
Storage (high I/O)
Dense storage
GPU compute
Graphics intensive
General purpose
175instance types
for virtually
every workload
and business need
+

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Choice of processors and architectures
Intel Xeon Scalable (Skylake)
processor
Right compute for each application and workload
Choice of GPUs and FPGAs for compute acceleration
AWS Graviton processor 64-
bit Arm
AMD EPYC processor

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First instance powered by AWS Graviton processor
Run scale-out and Arm-based applications in the cloud
Up to 45% cost savings AWS Graviton processor
64-bit Arm Neoverse cores and custom AWS silicon
Amazon EC2 A1
Lower cost Maximize resource efficiency
with AWS Nitro System
Flexibility and choice
for your workloads

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Targeted applications for Amazon EC2 A1
Web tier Containerized microservices
Caching fleets IoT, gaming, Arm workloads

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Amazon EC2 A1 sizes and specifications
Instance
CPU
Architecture
vCPUs
Memory
(GB)
Network
bandwidth
(Gbps)
Amazon EBS-
optimized
Amazon EBS
bandwidth
(Mbps)
Amazon EBS-
optimized burst
bandwidth
(Mbps)
a1.medium arm64 1 2 Up to 10 Yes 300 3,500
a1.large arm64 2 4 Up to 10 Yes 525 3,500
a1.xlarge arm64 4 8 Up to 10 Yes 800 3,500
a1.2xlarge arm64 8 16 Up to 10 Yes 1,750 3,500
a1.4xlarge arm64 16 32 Up to 10 Yes 3,500 3,500
US East (N. Virginia), US East (Ohio), US West (Oregon), and EU (Ireland) Regions

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Arm software ecosystem for A1 instances
Tools
Amazon Inspector
Amazon Corretto (OpenJDK)
OSVs and ISVs
Amazon Linux 2
Ubuntu 16.04, 18.04,
and newer
Red Hat Enterprise Linux (RHEL)
7.6 and newer
SUSE Linux Enterprise
Server for ARM 15
Added since launch
Fedora Rawhide, Fedora Atomic,
Debian 9.8,
RHEL 8.0 Beta, and
Ubuntu 18.10 (Bionic)
More coming soon!
Containers
Most Docker official
images support arm64
Amazon ECS
Available today!
Amazon EKS
Coming
soon!

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Workshop: Other architecture and process concepts
Microservices
DevOps
Polyglot development and persistence

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Anatomy of a microservice

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Anatomy of a microservice
Data Store
(e.g., Amazon RDS, Amazon
DynamoDB, Amazon ElastiCache,
Amazon Elasticsearch Service
[Amazon ES])

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Application
or Logic
(code, libraries, etc.)
Anatomy of a microservice
Data Store
(e.g., Amazon RDS, Amazon
DynamoDB, Amazon ElastiCache,
Amazon Elasticsearch Service
[Amazon ES])

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Public API
POST /restaurants
Entity
Anatomy of a microservice
Application
or Logic
(code, libraries, etc.)
Data Store
(e.g., Amazon RDS, Amazon
DynamoDB, Amazon ElastiCache,
Amazon Elasticsearch Service
[Amazon ES])

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Avoid software coupling

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Drivers
microservices
Payments
microservice Location
microservices
Ordering
microservices
Restaurant
microservice
Ecosystem of microservices:
Restaurant use case

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2. Use the right tool for the job
• Container journey (use Amazon ECS)
• Polyglot persistence (data layer)
• Polyglot frameworks (application layer)
1. Rely only on the public API
• Hide your data
• Document your APIs
• Define a versioning strategy
3. Secure your services
• Defense-in-depth
• Authentication and authorization
5. Understand that it’s more than just technology
transformation
• Embrace organizational change
• Favor small, focused development teams
4. Be a good citizen within the ecosystem
• SLAs
• Distributed monitoring, logging, tracing
6. Automate everything
• Adopt DevOps
Principles of microservices

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ReleaseTestBuild
Focused agile teams
Two-pizza team Delivery pipeline Service

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It’s a journey: Monolithic applications to microservices
Expect challenges along the way
• Understanding of
business domains
• Eventual consistency
• Service discovery
• Increase coordination (required because of moving parts)
• Complexity of testing, deploying, and operating distributed system
• Cultural transformation

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Sample microservices architecture
Internet
Mobile apps
Websites
Services
AWS Lambda
functions
AWS
API Gateway
Cache
Endpoints on
Amazon EC2,
ECS, EKS,
AWS Fargate, and
AWS Elastic Beanstalk
Any other publicly
accessible endpoint
Amazon CloudWatch
monitoring
Amazon
API Gateway

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What is continuous delivery or deployment?
Source Build Pre-test Deploy
Post-
test

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AWS code services: Software
release steps
Source Build Test Production
Third-party toolingCodeCommit CodeBuild CodeDeploy
CodePipeline
AWS CodeStar

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Comprehensive set of enterprise-grade tools
CI/CD tools Monitoring and tracing
SDKs
IDE
IDE and DevOps toolkits CLI and scripting tools
Infrastructure as code
AWS Cloud Dev. Kit
(CDK)
Web
applicationss
Mobile
AWS
Amplify
Amazon
Corretto
Languages

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Choose the right database engine for your needs
Amazon Aurora Amazon DocumentDB Amazon DynamoDB Amazon ElastiCache
Amazon Redshift Amazon Timestream Amazon Neptune Amazon Quantum
Ledger Database
Amazon RDS Amazon RDS on VMware AWS Database
Migration Service

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AWS Application
Load Balancer
Users
Amazon VPC
AWS CloudFormation
CodeBuild
CodeCommit
CodeDeploy
CodePipeline
Amazon EC2 Auto
Scaling Group (x86)
Amazon RDS
(SQL server)

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Users
Amazon
VPC
AWS Application
Load Balancer
Amazon EC2 Auto
Scaling Group (x86)
Amazon EC2 Auto
Scaling Group (Arm)
CodeBuild
CodeCommit
CodeDeploy
CodePipeline
AWS CloudFormation
Amazon RDS
(SQL server)

37. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Users
Amazon
VPC
Amazon EC2 Auto
Scaling Group (x86)
Amazon EC2 Auto
Scaling Group (Arm)
CodeBuild
CodeCommit
CodeDeploy
CodePipeline
Amazon RDS
(SQL server)
AWS Database Migration
Service
AWS CloudFormation
AWS Application
Load Balancer

38. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Users
Amazon
VPC
Amazon EC2 Auto
Scaling Group
(Arm)
CodeBuild
CodeCommit
CodeDeploy
CodePipeline
Amazon Aurora
(MySQL)
AWS Database Migration
Service
AWS CloudFormation
AWS Application
Load Balancer

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After the initial clone command completes successfully, you’ll have a folder called “workshop” in the sidebar.
Right-click on ‘README.md’ in that workshop folder to continue the workshop!
Setup and prerequisites

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Be sure to delete the CloudFormation stack when finished

42. Thank you!
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Andy Hopper