This document provides an overview and agenda for an AWS storage, compute, containers, serverless, and management tools presentation. It includes summaries of several upcoming AWS services and features related to EBS, S3, EC2, EKS, Fargate, Lambda, and AWS Cost Optimizer. The speaker is introduced as Paul Maddox, Principal Architect at AWS, with a background in development, SRE, and systems architecture.

1. About me
Paul Maddox
Principal Architect
Amazon Web Services
• 18 years of dev, SRE, and systems architecture background
• Developer (Rust, Go, Java, C, NodeJS)
• 5.5 years at Amazon, working with internal and external
development teams.
• 99% of my time spent on containers, serverless and devops
Twitter: @paulmaddox
Email: pmaddox@amazon.com

2. Agenda
• Storage Updates
• Compute Updates
• New Instance Types
• Savings Plans
• EC2 Image Builder
• Containers
• ECS Capacity Providers & Auto Scaling
• ECS CLI v2
• Amazon EKS Managed Worker Nodes & Fargate
• Serverless
• Lambda Provisioning
• Amplify (iOS, Android, Datastore)
• Event Bridge

3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

4. EBS Direct APIs for Snapshots
Introducing
A simple set of APIs that provide access to directly read EBS snapshot data, enabling backup providers
to achieve up to 70% faster backups for EBS volumes at lower costs.
Up to 70% faster
backup times
More granular recovery
point objectives (RPOs)
Lower cost backups
Storage
Easily track incremental
block changes on EBS
volumes to achieve:
General Availability – December 3
ListSnapshotBlocks , ListChangedBlocks , GetSnapshotBlock

5. Amazon S3 Access Points
Introducing
Simplify managing data access at scale for applications using shared data
sets on Amazon S3. Easily create hundreds of access points per bucket,
each with a unique name and permissions customized for each application.
DRAFT
General Availability – December 3
Storage

6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

7. Amazon EC2 Inf1 Instances
Introducing
The fastest and lowest cost machine learning inference in the cloud
Featuring AWS Inferentia, the first custom ML chip designed by AWS
Up to 3X higher throughput and 40% lower cost per inference,
compared to GPU-powered G4 instances
Compute
General Availability – December 3
Natural language
processing
PersonalizationObject
detection
Speech
recognition
Image processing Fraud
detection

8. AWS Graviton2 Processor
Introducing
Enabling the best price/performance for your cloud workloads
64 vCPUs 20 Gbps
14 Gbps EBS
Graviton1 Processor Graviton2 Processor
DRAFTCompute
Preview – December 3

9. AWS Graviton2 Based Instances
Introducing
Up to 40% better price-performance for general purpose, compute
intensive, and memory intensive workloads.
l
M6g C6g R6g
DRAFT
Built for: General-purpose
workloads such as application
servers, mid-size data stores, and
microservices
Instance storage option: M6gd
Built for: Compute intensive
applications such as HPC, video
encoding, gaming, and simulation
workloads
Instance storage option: C6gd
Built for: Memory intensive
workloads such as open-source
databases, or in-memory caches
Instance storage option: R6gd
Compute
Preview – December 3

10. AWS Compute Optimizer
Introducing
Identify optimal EC2 instances and Auto Scaling group with a ML-
powered recommendation engine. Integrated with AWS Organizations.
DRAFTManagement Tools
General Availability – December 3

11. AWS Compute Optimizer

12. Receive lower rates
automatically. Easy to use
with recommendations in
AWS Cost Explorer
Significant
savings
up to 72%
Flexible across instance family,
size, OS, tenancy or Region
Compute/Cost Management
Announced – November 6
Simplify purchasing with a flexible pricing model that offers savings on
Amazon EC2/ECS & AWS Fargate. AWS Lambda coming soon!
Savings Plans

13. Build, maintain, and share secure OS images more quickly & easily.
Both Linux and Windows, with automation for components and tests.
Introducing
DRAFTCompute
General Availability – December 3
EC2 Image Builder

14. 14

15. 15

16. Spare capacity with savings
up to 70% off of Fargate
standard pricing
Improved scalability,
reduced operational cost to
run containers
Containers
New Features
Accelerating momentum for AWS container services

17. Building 👉 Growing 👉 Releasing 👉 Debugging

18. Building 👉 Growing 👉 Releasing 👉 Debugging

19. “I want to add a backend.”
“I want my Backend to
be able to talk to my Frontend.”
Service Discovery
New Service
Building 👉 Growing 👉 Releasing 👉 Debugging

20. Building 👉 Growing 👉 Releasing 👉 Debugging

21. “I want to deploy to staging.”
“I want to deploy to production.”
“I just want to git push.”
Staging Environment
Production Environment
Continuous Delivery
Building 👉 Growing 👉 Releasing 👉 Debugging

22. archer env init
VPC, Cluster, LoadBalancer, ECR Repo, etc
Building 👉 Growing 👉 Releasing 👉 Debugging

23. Building 👉 Growing 👉 Releasing 👉 Debugging

24. archer env init production --prod
VPC, Cluster, LoadBalancer, ECR Repo, etc
Additional Protections - termination protection, more AZs, etc.
Building 👉 Growing 👉 Releasing 👉 Debugging

25. archer app deploy --env production
Building 👉 Growing 👉 Releasing 👉 Debugging

26. “I just want to git push.”
Continuous Delivery
Building 👉 Growing 👉 Releasing 👉 Debugging

27. archer pipeline init
Building 👉 Growing 👉 Releasing 👉 Debugging

29. Deploying Kubernetes with Amazon EKS
$ eksctl create cluster --managed
∙ exciting auto-generated name, e.g. “fabulous-mushroom-1527688624”
∙ 2x m5.large nodes (this instance type suits most common use-cases, and is good value for money)
∙ use official AWS EKS AMI
∙ us-west-2 region
∙ dedicated VPC (check your quotas)

30. Production
Workloads
Native and
upstream
Seamless
integrations
OSS
Contribution
Managed Kubernetes, with Amazon EKS

31. Production workloads
Single tenant
Multi-AZ and highly available
architecture
by default
99.9% Service Level Agreement
for every cluster

32. Native and upstream
Upstream conformant
Integration testing
with Kubernetes tooling
APIs and existing tooling
just work

33. OSS contributions
AWS contributes
bug fixes, security patches, and
tooling improvements
Open-source components
Contribute to or maintain over
30 OSS projects on GitHub for
Kubernetes

34. Seamless integrations Identity
Audits
Routing
Compliance
Monitoring
Logging
Ingress
Security
Databases
Networking
Storage
Compute

35. Deploying Kubernetes with Amazon EKS
$ eksctl create cluster --managed
∙ exciting auto-generated name, e.g. “fabulous-mushroom-1527688624”
∙ 2x m5.large nodes (this instance type suits most common use-cases, and is good value for money)
∙ use official AWS EKS AMI
∙ us-west-2 region
∙ dedicated VPC (check your quotas)

36. Deploying Kubernetes with Amazon EKS
$ cat > cluster.yml
apiVersion: eksctl.io/v1alpha5
kind: ClusterConfig
metadata:
name: basic-cluster
region: me-south-1
managedNodeGroups:
- name: ng-1
instanceType: m5.large
desiredCapacity: 10
- name: ng-2
instanceType: m5.xlarge
desiredCapacity: 2
$ eksctl create cluster –f cluster.yml
• Desired capacity
• Min / Max sizes
• Disk volume size
• SSH configuration
• Private/public subnets
• Security Groups
• Labels & Tags
• IAM policies
When defining a cluster with YAML,
you get repeatability, but also the
option to configure:

37. Architecture Overview
Your VPC
AWS Cloud
Availability Zone (AZ) 1
Kubernetes Node Group
Availability Zone (AZ) 2
K8s Worker
AWS VPC
K8s Worker
Kubernetes Node Group
K8s Worker K8s Worker
AZ 1 AZ 2 AZ 3
Highly scalable and available, multi AZ
managed Kubernetes control plane
Amazon Elastic Kubernetes Service

38. Management of the
Kubernetes control plane
Phase 1

39. Management of the
Kubernetes control plane
Phase 1
Phase 2
Management of the
Kubernetes data plane

40. We started with Managed Node Groups

42. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
You should be able to write your code and
have it run, without having to worry about
configuring complex management tools.
This is the vision behind AWS Fargate.
CTO, Amazon.com
Dr. Werner Vogels

43. Amazon EKS on Fargate
Bring existing pods Production ready Rightsized and integrated
You don’t need to change
your existing pods.
Fargate works with existing
workflows and services that
run on Kubernetes.
Launch pods quickly. Easily run
pods across multiple AZs for high
availability.
Each pod runs in an isolated
compute environment.
Only pay for the resources you need
to run your pods.
Includes native AWS integrations for
networking and security.

44. What matters for Fargate
Fargate is a serverless compute platform
for containers on AWS
The differences between using EKS and ECS with
Fargate are driven by the orchestration system

45. Architecture Overview
Your VPC
AWS Cloud
Availability Zone (AZ) 1
Kubernetes Node Group
Availability Zone (AZ) 2
K8s Worker
AWS VPC
K8s Worker
Kubernetes Node Group
K8s Worker K8s Worker
AZ 1 AZ 2 AZ 3
Highly scalable and available multi AZ
managed Kubernetes control plane
Amazon Elastic Kubernetes Service

46. Your VPC
AWS Cloud
Availability Zone (AZ) 1 Availability Zone (AZ) 2
AWS VPC
AZ 1 AZ 2 AZ 3
Highly scalable and available multi AZ
managed Kubernetes control plane
Amazon Elastic Kubernetes Service
Container
Elastic network
interface
Elastic network
interface
Container
AWS Fargate
Architecture Overview

47. DEMO

48. Things you
can’t do
(for now)
Deploy
Daemonsets
Use service type
LoadBalancer (CLB/NLB)
Running privileged
containers
Run stateful
workloads
Recap: EKS for Fargate introduces UX changes
Things you no
longer need to do
Manage Kubernetes
worker nodes
Pay for unused
capacity
Use K8s Cluster
Autoscaler (CA)
Things you get
out of the box
VM isolation at
pod level
Pod level
billing
Easy chargeback in
multi-tenant scenarios

49. Limits: Things to keep in mind
AWS accounts have a soft limit of 100
Fargate tasks/pods per region
You increase this limit
Due to the nature of the solution,
there’s a limit of 5,000 pods per cluster
K8s tests up to
5,000 workers per cluster

50. Scalability: Things to keep in mind
Single individual pod start time may be longer
on Fargate than on EC2
Each pod deployment sources a virtual
node first from the Fargate fleet
Pod deployments at scale may be faster due to
Fargate parallelism
E.g., think of the delay that Cluster Autoscaler can
introduce in sourcing new EC2 capacity

51. Pricing
Standard EKS cluster pricing $0.10 per hour
Standard Fargate Pricing for vCPU and memory

52. Next Steps
Deploy your first cluster with eksctl:
https://eksctl.io
Up your Kubernetes knowledge with our extensive, free online workshop:
https://eksworkshop.com
Get familiar with the AWS Containers roadmap:
https://github.com/aws/containers-roadmap/projects/1

53. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

54. Provisioned Concurrency on AWS Lambda
New Feature
• Keeps functions initialized and warm, ensuring start
times stay in the milliseconds
• Full control over when provisioned concurrency is set
• No code changes are required to provision concurrency
on functions in production
• Can be combined with AWS Auto Scaling
DRAFTServerless
General Availability – December 3

55. Achieve up to 67% cost reduction and 50% latency reduction compared
to REST APIs. HTTP APIs are also easier to configure than REST APIs,
allowing customers to focus more time on building applications.
Reduce application costs by
up to 67%
Reduce application latency by
up to 50%
Configure HTTP APIs easier
and faster than before
HTTP APIs for Amazon API Gateway
Introducing
DRAFTMobile Services
Preview – December 4

56. Demo!

57. AWS Step Functions Express Workflows
Introducing
Orchestrate AWS compute, database, and messaging services at rates
greater than 100,000 events/second, suitable for high-volume event
processing workloads such as IoT data ingestion, streaming data
processing and transformation.
DRAFTApp Integration
General Availability – December 3

58. 59

59. Amazon EventBridge Schema Registry
Introducing
Store event structure - or schema - in a shared central location, so it’s
faster and easier to find the events you need. Generate code bindings
right in your IDE to represent an event as an object in code.
DRAFTApp Integration
Preview – December 3

60. Amplify for iOS & Android
Introducing
DRAFTMobile Services
General Availability – December 3
Open source libraries and toolchain that enable mobile developers to
build scalable and secure cloud powered serverless applications.

61. Adding Amplify to your iOS / Android App
$ cd <root of your iOS/Android app folder>
$ amplify init
$ amplify add storage
? Please select from one of the below mentioned services: Content (Images, audio, video, etc.)
? You need to add auth (Amazon Cognito) to your project in order to add storage for user files. Do you want to add auth now? Yes
Do you want to use the default authentication and security configuration? Default configuration
Warning: you will not be able to edit these selections.
How do you want users to be able to sign in? Username
Do you want to configure advanced settings? No, I am done.
Successfully added auth resource
? Please provide a friendly name for your resource that will be used to label this category in the project: mybucket
? Please provide bucket name: mybucket
? Who should have access: Auth and guest users
? What kind of access do you want for Authenticated users? create/update, read, delete
? What kind of access do you want for Guest users? create/update, read, delete
? Do you want to add a Lambda Trigger for your S3 Bucket? No
62

62. 63

63. Amplify DataStore
New Feature
DRAFTMobile Services
General Availability – December 3
Multi-platform (iOS/Android/React Native/Web) on-device persistent
storage engine that automatically synchronizes data between
mobile/web apps and the cloud using GraphQL.

64. Go Build!
Here to help you build

65. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Thank you!
Paul Maddox
Principal Solutions Architect
Amazon Web Services