The document provides an overview of the top 5 AWS services that integrate well with VMware Cloud on AWS. It discusses Amazon S3 for object storage, Amazon RDS for relational databases, Amazon Redshift for data warehousing, Amazon Rekognition for image recognition, and Amazon Polly for text-to-speech. For each service, it provides a brief description and highlights key features. The document is intended to help customers understand which AWS services they should consider when using VMware Cloud on AWS.

1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Adrian Hornsby | Technical Evangelist | Amazon Web Services
Twitter: @adhorn
#VMwareOnAWS
Top 5 AWS Services that you will want to integrate
with the VMware Cloud on AWS!

2. What to expect from the session
• Overview of the VMware on AWS partnership.
• Introduction to VMware Cloud on AWS
• Solution summary: components and processes.
• Top 5 AWS Services to look for.
• Demo

3. Partnering to deliver a game-changing solution
ü Leading private compute, storage, and
network virtualization capabilities
ü Support for broad range of workloads
ü De facto standard for the on-premises
enterprise
ü Global scale and reach
ü Flexible consumption economics
ü Broadest set of cloud services
ü Elastic infrastructure on demand
Uniting the leaders in private and public cloud services
+

4. VMware Cloud on AWS enables faster hybrid cloud adoption by removing these barriers
Common challenges with hybrid cloud adoption
Different
networks
Operational
inconsistencies
Multiple
monitoring &
control
mechanisms
Multiple virtual
machine formats
Differing security
baselines

5. VMware Cloud on AWS
Customer data
center
Management
(vCenter Server) VMware Cloud on AWS
AWS global infrastructureAWS global infrastructure
vRealize Suite, PowerCLI
Access to all AWS services
Amazon
EC2
Amazon
S3
Amazon
RDS
AWS Direct
Connect
AWS Identity & Access
Management (IAM)
Amazon
Redshift
…
…
…
…
AWS CloudFormation, CLI, SDK
vCenter Server

6. Customer decides on and places workloads between on-premises DC and AWS
Common scenarios and use cases
Scenario 1:
Maintain and expand
ExpandMaintain
Geo expansion
Disaster recovery and
backup
Scenario 3:
Workload flexibility
Prod, dev, test, lab, and training
Burst capacity
Flex as needed
Scenario 2:
Consolidate and migrate
MigrateConsolidate
Data center consolidation
Application migration

7. 2VMware Cloud
on AWS
• Fully configured VMware
software stack running on
AWS hardware
• Direct access to your
dedicated vCenter
Server, PSC, and NSX
Manager
ESXi
NSX VSAN
HW
AWS Cloud
integration3
• Leverage state of the art
compute, storage, and
networking
• Single all inclusive bill
(SW+HW) from VMware
Delivered as a service from VMware4
Service
console1
• Provision, scale, and
manage capacity
globally
• Sign up, deploy, and
access your data center
in minutes
vmc.vmware.com
The Solution in a nutshell

8. Technical drilldown

9. Account structure
• VMware Cloud VPC account
• A new AWS solution account is created for each customer
• Is owned, operated, and paid directly by the VMware
• Each solution account is single tenant for all ESXi hosts
• Solution account is linked to a VMware Master-Payor account
• AWS customer VPC account
• Is owned, operated, and paid directly by the customer
• Has full access to VMware Cloud endpoints within the VPC
• VMware Cloud endpoints are automatically deployed into the
customer VPC with customer consent
• Has full access to the entire catalog of native AWS services within
the AWS Region of deployment

10. Existing customer environment
Customer Data Center
vSphere Environment
VMware
Endpoints
Non-vSphere Environment
ESXi
No NSX in your current VMware environment?
Deploy a standalone NSX Edge appliance into
your existing vSphere environment to extend
the VMware Cloud on AWS environment to your
premises.
No problem…

11. Provision VMware Cloud VPC
Customer Data Center
vSphere Environment
VMware
Endpoints
Non-vSphere Environment
ESXi
VMware Cloud VPC
ESXi
Amazon EC2
The full VMware Cloud on AWS
stack will be auto-provisioned
and configured at launch into a
single tenant AWS account
(owned and operated by
VMware).

12. Build customer VPC
Customer Data Center
Customer VPC
VPC subnet VPC subnet
vSphere Environment
VMware
Endpoints
Non-vSphere Environment
ESXi
VMware Cloud VPC
ESXi
Amazon EC2
A customer-owned AWS
account is created and/or
assigned to interoperate with
the VMware Cloud VPC.

13. Connect data center to customer VPC
Customer Data Center
vSphere Environment
VMware
Endpoints
Non-vSphere Environment
ESXi
Customer VPC
VPC subnet VPC subnet
AWS Direct
Connect
Private
VIF
VMware Cloud VPC
ESXi
Amazon EC2
Private connectivity is
established from the
customer data center to
the customer VPC

14. Link VMware Cloud VPC and customer VPC
Customer VPC
Customer Data Center
AWS Direct
Connect
VMware Cloud
Endpoints
VPC subnet VPC subnet
VPC subnet
vSphere Environment
VMware
Endpoints
Non-vSphere Environment
ESXi
Private
VIF
VMware Cloud VPC
ESXi
Amazon EC2
Link the VMware Cloud
VPC and the Customer
VPC using private VPC
endpoints

15. Deploy and consume native AWS services
Customer VPC VMware Cloud VPC
Customer Data Center
AWS Direct
Connect
VMware Cloud
Endpoints
VPC subnet VPC subnet
VPC subnet
Private Managed
AWS ServicesCustomer Instances
vSphere Environment
VMware
Endpoints
Non-vSphere Environment
ESXi
ESXi
Amazon EC2
Internet
Private
VIF
Public
VIF
Regional AWS Services
AWS
Lambda
Amazon
S3
Amazon
CloudFront
Etc…

16. Operating in the hybrid ecosystem: examples
• Copy an object from a virtual machine in VMware Cloud to an
Amazon S3 bucket
• Connect a virtual machine in VMware Cloud to an Amazon
Redshift cluster

17. Operating in the hybrid ecosystem: Amazon S3
Customer VPC
Customer Data Center
AWS Direct
Connect
VMware Cloud
Endpoints
VPC subnet VPC subnet
VPC subnet
Private Managed
AWS ServicesCustomer Instances
vSphere Environment
VMware
Endpoints
Non-vSphere Environment
ESXi
Internet
Private
VIF
Public
VIF
VMware Cloud VPC
ESXi
Amazon EC2
Copy an
object from
virtual
machine to
S3Regional AWS Services
AWS
Lambda
Amazon
S3
Amazon
CloudFront
Etc…

18. Operating in the hybrid ecosystem: Amazon Redshift
Customer VPC
Customer Data Center
AWS Direct
Connect
VMware Cloud
Endpoints
VPC subnet VPC subnet
VPC subnet
Private Managed
AWS ServicesCustomer Instances
vSphere Environment
VMware
Endpoints
Non-vSphere Environment
ESXi
Internet
Private
VIF
Public
VIF
VMware Cloud VPC
ESXi
Amazon EC2
Connect
virtual
machine to
Amazon
RedshiftRegional AWS Services
AWS
Lambda
Amazon
S3
CloudFront Etc…

19. Top 5 AWS Services for #VMwareOnAWS

20. A m a z o n S i m p l e S t o r a g e S e r v i c e
Simple, durable, massively scalable object
storage

21. Durable
11 9s
Available
Designed for 99.99%
Scalable
Gigabytes -> Exabytes
Our customer promise

22. Choice of storage classes on Amazon S3
Standard
Active data Archive dataInfrequently accessed data
Standard - Infrequent Access Amazon Glacier

23. Cross-region
replication
- Amazon CloudWatch
metrics for Amazon S3
- AWS CloudTrail support
VPC endpoint
for Amazon S3
Amazon S3 bucket
limit increase
Event notifications
Read-after-write
consistency in all regions
Important features for Amazon S3

24. Amazon S3
Standard-IA
Expired object delete
marker
Incomplete multipart
upload expiration
Lifecycle policy
Transfer
Acceleration
Important “new” features for Amazon S3

25. A m a z o n R e l a t i o n a l D a t a b a s e S e r v i c e
Amazon RDS
Managed relational database service with a choice of
six popular database engines.

26. Relational databases
Fully managed and secure
Fast, predictable performance
Simple and fast to scale
Low cost, pay for what you use
Amazon
RDS
Amazon Aurora

27. Why AWS built Amazon Aurora
R Speed and availability of high-end commercial databases
R Simplicity and cost-effectiveness of open source databases
R Drop-in compatibility with MySQL and PostgreSQL
R Simple pay as you go pricing
Delivered as a managed service

28. Storage node availability
• 6-way replication across 3 Availability Zones
• Quorum system for read/write; latency tolerant
• Peer-to-peer gossip replication to fill in holes
• Continuous scrubbing of data blocks
• Continuous monitoring of nodes and disks for
repair
• Quorum membership changes do not stall writes
AZ 1 AZ 2 AZ 3
Amazon S3

29. Lose two copies or an Availability Zone failure without read or write availability impact
Lose three copies without read availability impact
Automatic detection, replication, and repair
SQL
Transaction
AZ 1 AZ 2 AZ 3
Caching
SQL
Transaction
AZ 1 AZ 2 AZ 3
Caching
Read and write availabilityRead availability
Self-healing, fault-tolerant

30. Traditional databases
Have to replay logs since the last
checkpoint
Typically 5 minutes between checkpoints
Single-threaded in MySQL; requires a
large number of disk accesses
Amazon Aurora
Underlying storage replays redo records
on demand as part of a disk read
Parallel, distributed, asynchronous
No replay for startup
Checkpointed Data Redo Log
Crash at T0 requires
a re-application of the
SQL in the redo log since
last checkpoint
T0 T0
Crash at T0 will result in redo logs being
applied to each segment on demand, in
parallel, asynchronously
Instant crash recovery

31. Fastest growing service
in AWS history
Aurora customer adoption

32. A m a z o n R e d s h i f t
Fast, simple, cost-effective data warehousing.

33. Relational data warehouse
Massively parallel; petabyte scale
Fully managed
HDD and SSD platforms
$1,000/TB/year; starts at $0.25/hour
Amazon
Redshift
a lot faster
a lot simpler
a lot cheaper

34. Benefit #1: Amazon Redshift is fast
Dramatically less I/O
• Column storage
• Data compression
• Zone maps
• Direct-attached storage
• Large data block sizes
Parallel and distributed
• Query
• Load
• Export
• Backup
• Restore
• Resize
analyze compression listing;
Table | Column | Encoding
---------+----------------+----------
listing | listid | delta
listing | sellerid | delta32k
listing | eventid | delta32k
listing | dateid | bytedict
listing | numtickets | bytedict
listing | priceperticket | delta32k
listing | totalprice | mostly32
listing | listtime | raw

35. Benefit #2: Amazon Redshift is inexpensive
Ds2 (HDD)
Price per hour for
DW1.XL single node
Effective annual
price per TB compressed
On demand $ 0.850 $ 3,725
1-year reservation $ 0.500 $ 2,190
3-year reservation $ 0.228 $ 999
Dc1 (SSD)
Price per hour for
DW2.L single node
Effective annual
price per TB compressed
On demand $ 0.250 $ 13,690
1-year reservation $ 0.161 $ 8,795
3-year reservation $ 0.100 $ 5,500
Pricing is simple
Number of nodes x price/hour
No charge for leader node
No upfront costs
Pay as you go

36. Benefit #3: Amazon Redshift is fully managed
Continuous/incremental backups
• Multiple copies within cluster
• Continuous and incremental backups to Amazon S3
• And across regions (S3 cross-region repl.)
• Streaming restore
Fault tolerance
• Disk failures
• Node failures
• Network failures
• Availability Zone/region level disasters
Amazon S3
Amazon S3
Region 1
Region 2

37. Benefit #4: Security is built in
• Load encrypted from Amazon S3
• SSL to secure data in transit
• ECDHE perfect forward security
• Amazon VPC for network isolation
• Encryption to secure data at rest
• All blocks on disks and in Amazon S3 encrypted
• Block key, cluster key, master key (AES-256)
• On-premises HSM and AWS CloudHSM support
• Audit logging and AWS CloudTrail integration
• SOC 1/2/3, PCI-DSS, FedRAMP, BAA
10 GigE
(HPC)
Ingestion
Backup
Restore
Customer VPC
Internal
VPC
JDBC/ODBC

38. Benefit #5: We innovate quickly
Well over 125 new features added since launch
Release every two weeks
Automatic patching
Service Launch (2/14)
PDX (4/2)
Temp Credentials (4/11)
DUB (4/25)
SOC1/2/3 (5/8)
Unload Encrypted Files
NRT (6/5)
JDBC Fetch Size (6/27)
Unload logs (7/5)
SHA1 Builtin (7/15)
4 byte UTF-8 (7/18)
Sharing snapshots (7/18)
Statement Timeout (7/22)
Timezone, Epoch, Autoformat (7/25)
WLM Timeout/Wildcards (8/1)
CRC32 Builtin, CSV, Restore Progress
(8/9)
Resource Level IAM (8/9)
PCI (8/22)
UTF-8 Substitution (8/29)
JSON, Regex, Cursors (9/10)
Split_part, Audit tables (10/3)
SIN/SYD (10/8)
HSM Support (11/11)
Kinesis EMR/HDFS/SSH copy,
Distributed Tables, Audit
Logging/CloudTrail, Concurrency, Resize
Perf., Approximate Count Distinct, SNS
Alerts, Cross Region Backup (11/13)
Distributed Tables, Single Node Cursor
Support, Maximum Connections to 500
(12/13)
EIP Support for VPC Clusters (12/28)
New query monitoring system tables and
diststyle all (1/13)
Redshift on DW2 (SSD) Nodes (1/23)
Compression for COPY from SSH, Fetch
size support for single node clusters, new
system tables with commit stats,
row_number(), strotol() and query
termination (2/13)
Resize progress indicator & Cluster
Version (3/21)
Regex_Substr, COPY from JSON (3/25)
50 slots, COPY from EMR, ECDHE
ciphers (4/22)
3 new regex features, Unload to single
file, FedRAMP(5/6)
Rename Cluster (6/2)
Copy from multiple regions,
percentile_cont, percentile_disc (6/30)
Free Trial (7/1)
pg_last_unload_count (9/15)
AES-128 S3 encryption (9/29)
UTF-16 support (9/29)

39. Selected Amazon Redshift customers

40. A m a z o n R e k o g n i t i o n
Image Recognition And Analysis
Powered By Deep Learning

41. Easy to use Batch
analysis
Real time
analysis
Low costContinually
improving
Recognize, Search & Understand Images

42. Amazon Rekognition
Deep learning-based image recognition service
Search, verify, and organize millions of images
Object and Scene
Detection
Facial
Analysis
Face
Comparison
Facial
Recognition

43. Amazon Rekognition API
DetectLabels
{
"Confidence": 94.62968444824219,
"Name": "adventure"
},
{
"Confidence": 94.62968444824219,
"Name": "boat"
},
{
"Confidence": 94.62968444824219,
"Name": "rafting"
},
. . .

44. A m a z o n P o l l y
Text To Speech Powered By Deep Learning

45. What is Amazon Polly
Natural Sounding
Voices
Store and
Redistribute
Speech
Fast Response Low CostEasy
Integration

46. Amazon Polly: Quality
Natural sounding speech
A subjective measure of how close Text-To-Speech output is to human speech.
Accurate text processing
Ability of the system to interpret common text formats such as abbreviations, numerical
sequences, homographs etc.
Today in Las Vegas, NV it's 54°F.
"We live for the music", live from the Madison Square Garden.
Highly intelligibile
A measure of how comprehensible speech is.
”Peter Piper picked a peck of pickled peppers.”

47. Demo

48. Adrian Hornsby | Technical Evangelist | Amazon Web Services
Twitter: @adhorn
Thank you!