This last November Amazon Web Services held the 6th annual re:Invent conference in Las Vegas. Over 40,000 participants attended, partaking in Keynotes and over 1,000 breakout sessions on topics such as cloud architecture, continuous deployment, monitoring and management, performance, security, migration and more. During the week, AWS announced the launch of dozens of new significant features and services. We thought it would benefit the Israeli Venture Capital community to come together for a review of the announcement highlights, Get informed on new capabilities and best practices that can serve your portfolio companies and get answers for questions around re:Invent 2017 news.

1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Highlights
Noam Kaiser - Venture Capital Business Development Manager
Boaz Ziniman - Technical Evangelist
February 2018 – Tel Aviv

2. W E L C O M E
4 3 , 0 0 0 +
attendees
1 , 3 0 0 +
technical sessions
6 0 , 0 0 0 +
live stream registrations

3. AWS re:Invent
was busy this
year…

4. A Q U I C K U P D A T E O N T H E A W S B U S I N E S S …

5. 4 5 %
Y / Y G R O W T H
(Q4 2017 vs Q4 2016)
$ 2 0 B
R E V E N U E R U N R A T E
(Annualized from Q4 2017)

6. 2012 2013 2015 TODAY2014 20162008 2009 2010 2011
MILLIONS OF ACTIVE CUSTOMERS

7. L A R G E S T N U M B E R O F S T A R T U P C U S T O M E R S

8. L A R G E S T N U M B E R O F E N T E R P R I S E C U S T O M E R S

9. STATE OF THE CLOUD
44.1%
7.7%
3.0%
2.3%
1.0%
1.4%
0.7%
2.2%
0.5%
0.9%

10. Most robust, fully featured technology
infrastructure platform
CORE SERVICES
Integrated Networking
Rules Engine
Device Shadows
Device SDKs
Device Gateway
Registry
Local Compute
Custom Model
Training & Hosting
Conversational Chatbots
Virtual Desktops
App Streaming
Schema Conversion
Image & Scene
Recognition Sharing & Collaboration
Exabyte-Scale
Data Migration
Text to Speech
Corporate Email Application Migration
Database Migration
Regions
Availability Zones
Points of Presence
Data Warehousing
Business Intelligence
Elasticsearch
Hadoop/Spark
Data Pipelines
Streaming Data
Collection
ETL
Streaming Data
Analysis
Interactive SQL
Queries
Queuing & Notifications
Workflow
Email
Transcoding
Deep Learning
(Apache MXNet,
TensorFlow, & others)
Server MigrationCommunications
MARKETPLACE
Business Apps Business Intelligence DevOps Tools Security Networking StorageDatabases
API Gateway
Single Integrated Console
Identity
Sync
Mobile Analytics
Mobile App Testing
Targeted Push
Notifications
One-click App
Deployment
DevOps Resource
Management
Application Lifecycle
Management
Containers
Triggers
Resource Templates
Build & Test
Analyze & Debug
Identity
Management
Key Management
& Storage
Monitoring &
Logs
Configuration
Compliance
Web Application
Firewall
Assessment
& Reporting
Resource & Usage
Auditing
Access Control
Account
Grouping
DDOS
Protection
TECHNICAL & BUSINESS SUPPORT
Support
Professional
Services
Optimization
Guidance
Partner
Ecosystem
Training &
Certification
Solutions Management Account Management Security & Billing Reports
Personalized
Dashboard
Monitoring
Manage
Resources
Data Integration
Integrated Identity &
Access
Integrated Resource &
Deployment Management
Integrated Devices
& Edge Systems
Resource Templates
Configuration
Tracking
Server
Management
Service
Catalogue
Search
MIGRATIONHYBRID ARCHITECTUREENTERPRISE APPSMACHINE LEARNINGIoTMOBILE SERVICESDEV OPSANALYTICS
APP SERVICES
INFRASTRUCTURE SECURITY & COMPLIANCE MANAGEMENT TOOLS
Compute
VMs, Auto-scaling, Load
Balancing, Containers,
Virtual Private Servers,
Batch Computing,
Cloud Functions, Elastic
GPUs, Edge Computing
Storage
Object, Blocks, File,
Archivals, Import/Export,
Exabyte-scale data transfer
CDN
Databases
Relational, NoSQL,
Caching, Migration,
PostgreSQL
compatible
Networking
VPC, DX, DNS
Facial Recognition &
Analysis
Facial Search
Patching
Contact Center

11. 516
24 48 61 82
159
280
722
1,017
LAUNCHES
2008 2009 2010 2011 2012 2013 2014 2015 2016
1,430
2017
P A C E O F
I N N O V A T I O N
New capabilities daily

12. a e
o
q
r
t
j
i
h
p
Paris
u
l
f
First 5 years: 4 regions
2016–2018: 11 regions
Next 5 years: 7 regions
AW S
REGIONAL
EXPANSION
d
m
c
g
b
n
s
v
i

13. Over 100 Global
CloudFront PoPs
ss

14. Amazon Global
Network
• Redundant 100GbE network
• Redundant private capacity
between all Regions except China

15. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Let’s get started

16. INSTANCES
Computing

17. BROADEST SPECTRUM OF
COMPUTE INSTANCES
Burstable
T 2
Big Data
Optimized
H 1
Memory
Optimized
R 4
In-memory
X 1
High
I/O
I 3
Compute
Intensive
C 5
Graphics
Intensive
G 3
General
Purpose
GPU
P 3
Memory
Intensive
X 1 e
General
Purpose
M 5
Virtual
Private
Servers
Bare Metal
High I/O
I 3 m
Dense
Storage
D 2 F 1
FPGA
A m a z o n
L i g h t s a i l
EC2 Elastic GPUs
Graphics acceleration
for EC2 instances
EC2 Spot Instances
• Hibernation
• No Bid Pricing
N E
W !
NEW
!
NEW
!
NEW
!
NEW
!
NEW!

18. Amazon EC2 M5 Instances (GA)
Next generation of EC2 general purpose instances
• Powered by 2.5 GHz Intel Xeon Platinum 8000-
series ”Skylake” Processor
• New larger instance size – m5.24xlarge with 96
vCPUs and 384 GiB of memory
• Improved network and EBS performance on
smaller instance sizes
• Support for Intel AVX-512
• Powered by new lightweight Nitro Hypervisor
14% Price / Performance
Improvement With M5
M4 M5

19. Amazon EC2 H1 Instances (GA)
New dense storage instance family for big data workloads
H1
New Storage-optimized instance
Up to 16TB of locally
attached HDD storage
Up to 25 Gbps network
bandwidth with ENA
Big Data Clusters Kafka Streaming MapReduce

20. I3.metal (Bare Metal)
• Two Intel Xeon E5-2686v4 2.3GHz (72 logical processors)
• 512GiB Memory
• 15.2 TB local SSD NVMe storage
• 25 Gbps ENA-based enhanced networking

21. Spot Enhancements
• Save up to 90% over on-demand costs
• Synchronous launch of spot instances via RunInstances API (immediately get
instance IDs)
• Previously had to deal with: Spot markets, bidding, asynchronous API
• Price changes in spot market happen gradually based on longer-term trends in
supply / demand.
• Instance Hibernation:
• EC2 hibernation agent write in-memory state of instance to root EBS volume
• Amazon Linux, Ubuntu, Windows Server
• Not all instance types supported
• Preserves private IPs across stop/start cycles

22. CONTAINERS
Computing

23. Virtual machine versus Containers
Server (Host)
Host OS
Hypervisor
App 2
Guest OS Guest OS Guest OS
Bins/Libs Bins/Libs Bins/Libs
App 1
App 2
App 3
VM
Server (Host)
Host OS
Docker
Bins/Libs Bins/Libs Bins/Libs
App 1 App 2 App 3
Container

24. Container & Docker Benefits
• Portable application artifact that runs reliably everywhere
• Run different applications or application versions with different
dependencies simultaneously
• Better resource utilization by running multiple lightweight
containers per host

25. Service integrations are at the
container level
Scales to support clusters and
applications of any size
Integration with entire AWS platform
3
ALB, Auto Scaling, Batch, Elastic Beanstalk, CloudFormation,
CloudTrail, CloudWatch Events, CloudWatch Logs, CloudWatch
Metrics, ECR, EC2 Spot, IAM, NLB, Parameter Store, and VPC
The easiest way to
deploy and manage
containers
Amazon Elastic Container Service (ECS)
2
1

26. CUSTOMERS RUNNING CONTAINERS
WITH ECS

27. WHAT ABOUT KUBENETES?
“According to a recent survey, 63% of
users were already hosting Kubernetes on
Amazon EC2. This was up from 44 percent
a year ago.”
https://www.cncf.io/blog/2017/06/28/survey-shows-kubernetes-leading-orchestration-platform/

28. M a n a ge d Kube r nete s on AWS
Available in preview today
Amazon Elastic Container Service for
Kubernetes (EKS)
Hybrid cloud
compatible
Highly available Automated
upgrades and
patches
Integrated with
AWS Services
CloudTrail, CloudWatch,
ELB, IAM, VPC,
PrivateLink
NEW!

29. … B U T W H A T E L S E ?
M A N A G E D C L U S T E R S
A R E G R E A T …

30. R u n c o n t a i n e rs w i t h o u t m a n a g i n g
s e r v e rs o r c l u s t e rs
Available for ECS today
Available for EKS in 2018
AWS Fargate - Serverless Container Service
No clusters
to manage
Manages underlying
infrastructure
Easy to run,
easy to scale
NEW!

31. Computing
SERVERLESS

32. Serverless - The Future of Computing
ALL THE CODE YOU EVER WRITE
IS BUSINESS LOGIC
No server management Flexible scaling High availability No idle capacity

33. AWS LAMBDA IS EVERYWHERE
AWS Lambda Amazon S3 Amazon CloudFormation AWS IoT
Amazon API Gateway Amazon DynamoDB Amazon CloudWatch Logs AWS IoT Button
AWS Step Functions Amazon Kinesis Streams Amazon CloudWatch Events AWS Greengrass
AWS X-Ray Amazon Kinesis Firehose AWS CodeCommit AWS Snowball Edge
Amazon SNS AWS Config AWS Lambda@Edge
Amazon SES Amazon Lex
Amazon Cognito Amazon CloudFront
AWS IoT
AWS
Lambda
Event-driven services Event sources Lambda inside

34. CUSTOMERS LOVE LAMBDA

35. AWS Serverless Application Repository
4 new powerful
features for AWS
Lambda 3GB memory support
Concurrency controlsAPI Gateway VPC integration
.NET Core 2.0 language
support (pre-announce)
…and Go
Discover a
collection of
serverless
applications
Easily deploy
to your AWS
account in a
few clicks
Publish your
own
applications to
share with the
community
D i s c o v e r, d e p l o y, a n d p u b l i s h s e r v e r l e s s a p p s
Available in preview today
NEW!

36. API Gateway Canary Deployments
• When deploying to a stage you can now specify “canarySettings”
• Shift a percentage of API traffic between 0.0 and 100.0
• Stage variables for the canary that can override production
• Continuously shift traffic (start with 10% move to 100%)
• Promote a canary release to a production stage

37. Databases, Analytics,
Storage, App Integration

38. A U R O R A I S T H E F A S T E S T G R O W I N G
S E R V I C E I N T H E H I S T O R Y O F A W S

39. Aurora Multi-Masters
Seamless recovery from read replica failures
Auto-scale new read replicas
Up to 15 read replicas across 3 availability zones
Application
Read Replica
1
Master
Node
Read Replica
2
Shared Distributed Storage Volume
Availability
Zone 1
Availability
Zone 2
Availability
Zone 3
Application
Read/Write
Master 2
Read/Write
Master 1
Shared Distributed Storage Volume
Availability
Zone 1
Availability
Zone 2
Availability
Zone 3
Read/Write
Master 3
Zero application downtime from ANY node failure
Zero application downtime from ANY AZ failure
Multi-region coming in 2018
Faster write performance
NEW!
First relational database service
with scale-out on both read and write, across multiple datacenters

40. UNPREDICTABLE WORKLOADS ARE
CHALLENGING
DA TA BA SE
REQU ESTS
TIM E

41. Sign u p fo r th e p r eview to d a y
Aurora Severless
On-demand, auto-scaling database for applications with
unpredictable or cyclical workloads
Automatically
scales capacity
up and down
Pay per second
and only for
the database
capacity you
use
Starts up on
demand and
shuts down
when not in use
No need to
provision
instances
NEW!

42. AMAZON DYNAMODB: FAST, FLEXIBLE, NOSQL
DATABASE SERVICE

43. Build high performance, globally distributed applications
Low latency reads and writes to locally available tables
Disaster proof with multi-region redundancy
Easy to setup and no application re-writes required
DYNAMODB GLOBAL TABLESNEW!
First fully managed, multi-master, multi-region database
G en er a lly a va ila b le to d a y
DYNAMODB BACKUP & RESTORE
Only cloud database to provide on-demand and continuous backups
On-Demand Backups for long term data
archival and compliance
Point In Time Restore for short term retention
and protection against application errors
Backup hundreds of TB instantaneously with
NO performance impact
On-Demand Backup generally available today
Point In Time Restore coming early 2018

44. EVOLUTION OF DATABASES
Amazon DynamoDB Amazon ElastiCache
KEY VALUE
DOCUMENT
IN-MEMORY STOREAURORA
Amazon RDS
COMMERCIAL COMMUNITY HIGHLY
CONNECTED
DATA
N o n - r e l a t i o n a l
d a t a b a s e s
R e l a t i o n a l
d a t a b a s e s
Social news feed Restaurant recommendations Retail fraud detection

45. CHALLENGES BUILDING APPS WITH
HIGHLY CONNECTED DATA
Difficult to
maintain
high
availability
Difficult to
scale
Relational databases Existing graph databases
Limited
support for
open
standards
Too
expensive
Unnatural for
querying graph
Inefficient
graph
processing
Rigid schema
inflexible for
changing
graphs

46. Available in preview today
F A S T A N D
S C A L A B L E
E A S Y
Build powerful
queries easily with
Gremlin and SPARQL
6 replicas of
your data across
3 AZs with full
backup and
restore
R E L I A B L E
Supports Apache
TinkerPop and
W3C RDF graph
models
OPEN
F u l l y m a n a g e d g ra p h d a t a b a s e
Store billions of
relationships and
query with
milliseconds
latency
Amazon Neptune
NEW!

47. Data Lake on AWS
Most ways to
bring data in
Best security,
compliance, and
audit capabilities
Object-level
controls
Unmatched durability,
availability,
and scalability
Twice as many
partner
integrations
Business insights
into your data
AMAZON S3 IS THE MOST POPULAR CHOICE
FOR DATA LAKES

48. MOST ANALYTICS HAPPEN ON AWS

49. Data Lake on AWS
Amazon Redshift
+ R e d s h i f t S p e c t r u m
Amazon
QuickSight
Amazon EMR
H a d o o p , S p a r k , P r e s t o ,
P i g , H i v e … 1 9 t o t a l
Amazon
Athena
Amazon
Kinesis
Amazon
Elasticsearch Service
AWS Glue
S3 DATA LAKE
Objects in your S3 data lake
v v v v v v v v
v v v v v v v v
BUT, MOST ANALYTICS JOBS
INVOLVE PROCESSING ONLY A
SUBSET OF OBJECT DATA
MAKING PETABYTE-SCALE
ANALYTICS ACCESSIBLE
TO COMPANIES OF ALL SIZES

50. New API to select and retrieve data within objects
Accelerate any application that processes a subset of object data in S3
Improve data access performance by up to 400%
NEW!
v
A va ila b le in p review to d a y
Powerful new S3 capability to pull out only the object data
you need using standard SQL expressionsS3 SELECT
8 seconds
Without S3 Select
1.8 seconds
With S3 Select
4.5x faster3
a g g r e g a t io n s
1
t a b le
4
filte r s
COMPLEX PRESTO QUERY
Against a standard TPC-DS dataset
6 sub-queries with each containing:
Glacier SELECT
G en er a lly a va ila b le to d a y
Run queries directly on data stored in Glacier
Run queries on data stored at rest in Amazon Glacier
Any application can query Glacier data
Retrieve only what you need
Makes Glacier part of your data lake

51. DevOps & Security

52. AWS Systems Manager
• Gain Operational Insights and Take Action on AWS Resources
• New Resource Groups API for grouping tagged resources programatically
• Operate on groups of resources intelligently
• All of the EC2 Systems Manager features

53. AWS PrivateLink (GA)
Share AWS, customer and
partner services privately
between VPCs and
on-premises networks
Secure. Scalable. Reliable.
Customers
and Partners
On Premises
Resources
Service VPC
Network
Load-
Balancer
AWS
Direct
Connect
Client VPC 1
Client VPC 2
Client VPC 3
VPC Endpoint
VPC
Endpoint
VPC
Endpoint

54. Inter-Region VPC Peering
• Traffic is encrypted
• No need for IGW or VPN devices
• Over AWS private backbone
• Does not transit public internet

55. Amazon GuardDuty
Continuous analysis of billions of events
Detections maintained by AWS Security
Uses machine learning and threat intelligence
Strengthens security through automation
One-click deployment with no additional
software or infrastructure to manage
I n t e l l i g e n t t h r e a t d e t e c t i o n f o r A W S a c c o u n t s a n d w o r k l o a d s

56. Developer Tools

57. AWS Cloud9
A c l o u d I D E f o r w r i t i n g , r u n n i n g ,
a n d d e b u g g i n g c o d e
Generally available today Zero to
deploy FAST
Deep
integration
Real-time pair
programming
Broad debugging
support
AWS
CodePipeline
AWS
CodeDeploy
AWS
CodeCommit
AWS
CodeBuild
PUBLISH DIRECTLY INTO CODESTAR TOOLS
Integration with
Serverless App
NEW!

58. BILLIONS OF DEVICES WITH LIMITED
RESOURCES ON BOARD

59. AWS IoT
NEW!
• AWS IoT 1-Click
One-click creation of an AWS Lambda trigger for any device
• AWS IoT Device Management
Securely onboard, organize, monitor and remotely manage IoT
devices at scale
• AWS IoT Device Defender
Define and enforce security policies for fleets of devices
• AWS IoT Analytics
Fully managed analytics service that cleans, processes, stores,
and analyzes IoT device data
• Amazon FreeRTOS
IoT connected operating system for microcontroller-based edge devices

60. Artificial Intelligence

61. Collect and
prepare
training data
Choose and
optimize your
ML algorithm
Set up and
manage
environments
for training
Train and tune
model
(trial and
error)
Deploy model
in production
Scale and
manage the
production
environment
ML IS STILL TOO COMPLICATED FOR
EVERYDAY DEVELOPERS

62. Easily build, train, and deploy machine learning models
Generally available today
Amazon SageMaker
Fully managed
hosting with
auto-scaling
DEPLOY
One-click
deployment
BUILD
Pre-built
notebooks for
common
problems
Built-in, high
performance
algorithms
One-click
training
TRAIN
Hyperparameter
optimization
NEW!

63. T he wor l d’s f i rst wi re l e s s , de e p
l e a r n i n g e n a b l e d vi d e o ca m e ra
for d eve l op e rs
AWS DeepLens
HD video camera
Custom-designed
deep learning
inference engine
Micro-SD
Mini-HDMI
USB
USB
Reset
Audio out
Power
HD video camera with
on-board compute
optimized for deep
learning
Tutorials, examples,
demos,
and pre-built models
From unboxing to first
inference in <10 minutes
Integrates with
Amazon SageMaker
and AWS Lambda
10
MIN
NEW!

64. V I S I O N L A N G U A G E
A P P L I C A T I O N S E R V I C E S
Amazon Rekognition Amazon Polly Amazon Lex
Amazon AI - Democracy on ML

65. R e a l - t i m e a n d b a t c h v i d e o a n a l y t i c s
Generally available today
Amazon Rekognition Video
Video in. People, activities, and details out.
Objects, scenes, and activities
Person detection and
recognition
Person tracking
Celebrity recognition
Inappropriate content
detection
Amazon Kinesis Video Streams
Generally available today
S e c u r e l y i n g e s t a n d s t o r e v i d e o ,
a u d i o , a n d o t h e r t i m e - e n c o d e d d a t a
NEW!

66. A u t o m a t i c s p e e c h r e c o g n i t i o n
Available in
preview
today
Amazon Transcribe
Support for
telephony audio
Timestamp
generation
Intelligent
punctuation and
formatting
Recognize multiple
speakers
Custom
vocabulary
Multiple
languages
Amazon Translate
A u t o m a t i c a l l y t r a n s l a t e s t e x t b e t w e e n l a n g u a g e s
Available in
preview today
Real-time
translation
Batch
analysis
Automatic language
recognition
Low
cost
NEW!

67. F u l l y m a n a g e d n a t u r a l l a n g u a g e p r o c e s s i n g
Generally
available today
Amazon Comprehend
Discover valuable insights from text
Entities
Key Phrases
Language
SentimentAmazon
Comprehend
STORM
WORLD SERIES
STOCK MARKET
WASHINGTON
LIBR A R Y O F
NEW S A RTICLES
Amazon
Comprehend
NEW!

68. Alexa For Business
“Alexa, start the meeting.”
“Alexa, dial 555-8000.”
“Alexa, lower the blinds.”
“Alexa, ask Salesforce which
big deals closed today.”
Your intelligent assistant for work
Provision and
manage shared
devices
Configure
conference rooms
Enroll users
and assign skills
Build custom
skills
NEW!

69. Amazon Sumerian
The fastest and easiest way to create VR, AR, and 3D experiences
Available in preview today
NEW!

70. V I S I O N L A N G U A G E
A P P L I C A T I O N S E R V I C E S
Amazon
Rekognition
Amazon Polly Amazon Lex
Amazon AI - Democracy on ML
Amazon
Rekognition Video
Amazon Transcribe Amazon Translate Amazon Comprehend
Alexa for Business
V R / I R Amazon Sumerian
Amazon Kinesis
Video Streams

71. More New Services & Features…
https://aws.amazon.com/new/reinvent
https://youtube.com/amazonwebservices
https://www.slideshare.net/AmazonWebServices

72. https://aws.amazon.com/summits/summit-tel-aviv/

73. G O B U I L D