Getting Started with Amazon EC2 and Compute Services

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Matt Pitchford – Solutions Architect, AWS
François de Bodinat - Zerolight
July 2016
Getting Started with
Amazon EC2 and Compute Services

2. AWS Compute offerings
AWS Lambda
Serverless compute
platform for stateless
code execution in
response to triggers
Amazon ECS
Container management
service for running
Docker on a managed
cluster of EC2
instances
Amazon EC2
Virtual servers in
the cloud

3. EC2 Overview: Instance Families and Generations
General-purpose: M1, M3 , T2, M4
Compute-optimized: C1, CC2, C3, C4
Memory-optimized: M2, CR1, R3 {X1}
Dense-storage: HS1, D2
I/O-optimized: HI1, I2
GPU: CG1, G2
Micro: T1, T2

4. EC2 instances: Types and Sizes
c4.large
Instance family
Instance generation
Instance size

5. http://aws.amazon.com/ec2/instance-types/

6. 1 2 4 8 16 32
1
2
4
8
16
32
64
128
256
Memory(GB)
vCPU
Compute
EC2 Instance Types
g2.2xlarge
8 vCPU, 15 GB
1 x 60 SSD
NVIDIA GPU (1,536
CUDA cores, 4GB
Mem)
4 vCPU, 30.5 GB
i2.xlarge (High IO) - 1 x 800 SSD
d2.xlarge (Dense) - 3 x 2000
HDD
8 vCPU, 61 GB
i2.xlarge (High IO) - 2 x 800 SSD
d2.xlarge (Dense) - 6 x 2000
HDD
16 vCPU, 122 GB
i2.xlarge (High IO) - 4 x 800 SSD
d2.xlarge (Dense) - 12 x 2000
HDD
32 vCPU, 244 GB
i2.xlarge (High IO) - 8 x 800 SSD
36 vCPU, 244 GB
d2.xlarge (Dense) - 24 x 2000
HDD
m3.xlarge
4 vCPU, 15
GB
2 x 40 SSD
m3.2xlarge
8 vCPU, 30
GB
2 x 80 SSD
m3.large
2 vCPU, 7.5
GB
1 x 32 SSDm3.medium
1 vCPU, 3.75
GB,
1 x 4 SSD
t2.micro
1 vCPU,
1GB
EBS Only
t2.small
1 vCPU,
2GB
EBS Only
t2.medium
2 vCPU,
4GB
EBS Only
r3.large
2 vCPU, 15.25
GB
1 x 32 SSD
r3.xlarge
4 vCPU, 30.5 GB
1 x 80 SSD
r3.2xlarge
8 vCPU, 61 GB
1 x 160 SSD
r3.4xlarge
16 vCPU, 122 GB
1 x 320 SSD
r3.8xlarge3
2 vCPU, 244 GB
2 x 320 SSD
2 vCPU, 3.75 GB
c4.large - EBS Only
c3.large - 2 x 16 SSD
4 vCPU, 7.5 GB
c4.xlarge - EBS Only
c3.xlarge - 2 x 40
SSD
8 vCPU, 15 GB
c4.2xlarge - EBS
Only
c3.2xlarge - 2 x 80
SSD
16 vCPU, 30 GB
c4.4xlarge - EBS Only
c3.4xlarge - 2 x 160
SSD
32 vCPU, 60 GB
c4.8xlarge - EBS Only
c3.8xlarge - 2 x 320
SSD
m4.large
2 vCPU, 8 GB
EBS Only
m4.xlarge
4 vCPU, 16
GB
EBS Only
m4.2xlarge
8 vCPU, 32
GB
EBS Only
m4.4xlarge
16 vCPU, 64
GB
EBS Only
m4.10xlarge
40 vCPU, 160GB
EBS Only
m4.large
2 vCPU, 8 GB
EBS Only
Storage Optimized
GPU Instances
General Purpose
Memory Optimized
Compute Optimized
New M4’s/T2 Large
t2.nano
1 vCPU, 512MB
EBS Only

7. Burstable EC2 Instance Types
Micro Instances (T1)
• Small amount of consistent CPU resources
• Well suited for lower throughput applications and web
sites
Micro Instances (T2)
• The newest low-cost instance, designed to provide
moderate baseline performance with ability to burst
CPU performance

8. Storage Options
Locally attached or “instance storage”
Network attached:
Amazon EBS General Purpose (SSD) volumes
Amazon EBS Provisioned IOPS (SSD) volumes
Amazon EBS Magnetic volumes
Amazon EFS
Amazon S3 and Amazon Glacier for object storage

9. Benefits of Scalability

10. AWS global infrastructure
Over 1 million active
customers across 190 countries
900+ government agencies
3,400+ educational institutions
11,200+ nonprofits
13 regions
35 Availability Zones
*9 more Availability Zones and 4
more regions coming online
throughout the year

11. Elastic cloud-based resources
Actual demand
Resources scaled to demand
Benefits of Agility
Waste Customer
dissatisfaction
Actual demand
Predicted demand
Rigid on-premises resources

12. Example: 3-tier web application architecture

13. On-Demand
Pay for compute
capacity by the
hour with no long-
term commitments
For spiky
workloads, or to
define needs
Reserved
Make a low, one-
time payment and
receive a
significant discount
on the hourly
charge
For committed
utilization
Spot
Bid for unused
capacity, charged at
a Spot Price which
fluctuates based on
supply and demand
For time-insensitive
or transient
workloads
Dedicated
Launch instances
within Amazon VPC
that run on hardware
dedicated to a single
customer
For highly sensitive
or compliance-related
workloads
TCO Considerations
Purchase options to fit many workloads

14. Use Spot Instances for even greater savings
Best Spot use-cases include any batch-oriented, fault-tolerant application

15. Amazon EC2 Container Service
(Amazon ECS)

16. Easily Manage Clusters for Any Scale
Nothing to run
Complete state
Control and monitoring
Scale

17. High performance at any scale;
Cost-effective and efficient
No Infrastructure to manage
Pay only for what you use: Lambda
automatically matches capacity to
your request rate. Purchase
compute in 100ms increments.
Bring Your Own Code
Lambda functions: Stateless, trigger-based code execution
Run code in a choice of standard
languages. Use threads, processes,
files, and shell scripts normally.
Focus on business logic, not
infrastructure. You upload code;
Lambda handles everything else.
AWS Lambda Overview

18. Zerolight use case

19. Please remember to rate this
session under My Agenda on
awssummit.london

21. François de Bodinat, CMO
July 7th 2016
FLIPPING CARS
FASTER THAN BURGERS

22. OMNICHANNEL VISUALIZATION PLATFORM FOR AUTOMOTIVE
BE EMPOWERED BY VISUALIZATION

25. Trends
1
re:Invent
2
Challenge
3
Soon
4

26. dealerships go digital the journey is online customers expect more

27. *McKinsey, reported in the Economist
5.0x
1.6x
dealerships go digital the journey is online customers expect more
dealership visits personalization digital stores

28. 96%
Conduct online
research
3/4 of journey Is online
14h researching
18websites
75%(Global)
92%(China)
5%
25%
dealerships go digital the journey is online customers expect more
*JD Power, Analog Folk, Accenture, Financial Times
online search online car saleswillingness to buy online

29. dealerships go digital the journey is online customers expect more
*Inc.com, Auto News
visualisation is a given …and yet, basic experienceexperience is key
Give your
customers an
Experience,
not just a Product.
“
”

30. Trends
1
re:Invent
2
Challenge
3
Soon
4

31. FROM:
CONFIGURING
TO:
CONFIGURING &
EXPLORING
re:Invent
 static images
 limited views
 single background
 limited options
 customer is driven
 animated car
 freedom of view
 variety of backgrounds
 all cars, all options
 customer drives

35. Trends
1
re:Invent
2
Challenge
3
Soon
4

36. Typical VE performances for ZL
Its great, but with Cloud, there is another challenge….

39. We looked at Burgers…

40. Yes…burgers !

41. and for that, we follow the leaders….

42. McDonald’s “MADE FOR YOU”
Meeting Customer
Demand
Minimizing Waste
&
JIT Operating System is about

44. Minimizing Waste

45. Meeting Customer
Demand

47. But our Burgers are a bit different…

52. So in short, if we were to sell burgers, we would deliver them in less than 5s,
to people all over the world, with only a few PoS. We would minimize waste
by predicting demand and also re-using left-overs.
weird indeed….
“
”

53. Trends
1
re:Invent
2
Challenge
3
Soon
4

54. Motion car driving
Personalize with Big Data
Home immersive experiences
4K streams to dealerships
New HMI Experiences

56. Thank you
François de Bodinat, CMO
francois.debodinat@zerolight.com
zerolight.com/careers
@zerolight