18. The Fastest Growing Multi-billion Dollar Enterprise IT
Company In The World
AWS
Servicenow
Workday
Salesforce
Adobe
VMware
SAP
Oracle
Microsoft
IBM
Cisco
HPE
-20% -10% 0% 10% 20% 30% 40% 50%
24. *Gartner, Magic Quadrant for Cloud Infrastructure as a Service, Worldwide, Leong, Lydia, Petri, Gregor, Gill, Bob, Dorosh, Mike, August 32016
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available
upon request from AWS : http://www.gartner.com/doc/reprints?id=1-2G2O5FC&ct=150519&st=sb
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings
or other designation. Gartner research publications consist of the opinions of Gartner's research
organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of
merchantability or fitness for a particular purpose.
AWS is positioned highest in execution and
furthest in vision within the Leaders
Quadrant
AWS Positioned as a Leader
in the Gartner Magic Quadrant
for Cloud Infrastructure as
a Service, Worldwide
25. Where Are We In The Cloud’s Evolution?
New Normal
In 2014
26. Where Are We In The Cloud’s Evolution?
New Normal
In 2014
Control Over
Your Own Destiny
In 2015
27. S U P E R
P O W E R S
With AWS, It Can
Feel Like You Have Been Given
31. Most Robust, Fully - Featur ed Technology Infr astr uctur e Platfor m
One-click App
Deployment
DevOps Resource
Management
Application Lifecycle
Management
Containers
Triggers
Resource Templates
Build and Test
Analyze and Debug
DEV/OPS
One-click App
Deployment
DevOps Resource
Management
Application Lifecycle
Management
Containers
Triggers
Resource
Templates
Build and Test
Analyze and Debug
DEV/OPS
32. Continuous Development Today
Jump between multiple different service consoles and manual tools
Tool 1 Command line Tool 2 Command lineTool 3 Tool 4
34. AWS CodeStar
New integrated
AWS console UI for
developers
Start developing
on AWS in minutes
Manage software
delivery in one
place
Work across your
team, securely
39. Compute
Burstable (T2)
General Purpose (M4)
Dense Storage (D2)
Memory Intensive (R4)
Large Memory (X1)
High I/O (I3)
Compute Intensive (C5)
Graphics Intensive (G2)
General Purpose GPU (P2)
FPGAs (F1)
Simple VPS (Lightsail)
RDS For MySQL
RDS For PostgreSQL
RDS For MariaDB
RDS For Oracle
RDS For SQL Server
RDS For Aurora
Heterogeneous migrations
with no downtime
Broad Services With Deep Functionality
Databases Network AvailabilitySecurity & Access
Fully-managed DDoS Protection
WAF with instant threat mitigation
Dedicated HSMs
Graphic Policy Simulator
Identify, Location, and Time Policies
Individual API Call Policies
Key Usage Auditing
Availability Zone architecture for
high operational resiliency
Synchronous data replication
between AZs within a region
Visibility into real-time network
performance
Broad IPv6 support
Multiple NICs per VM
40. Compute
Burstable (T2)
General Purpose (M4)
Dense Storage (D2)
Memory Intensive (R4)
Large Memory (X1)
High I/O (I3)
Compute Intensive (C5)
Graphics Intensive (G2)
General Purpose GPU (P2)
FPGAs (F1)
Simple VPS (Lightsail)
RDS For MySQL
RDS For PostgreSQL
RDS For MariaDB
RDS For Oracle
RDS For SQL Server
RDS For Aurora
Heterogeneous migrations
with no downtime
Broad Services With Deep Functionality
Databases Network AvailabilitySecurity & Access
Fully-managed DDoS Protection
WAF with instant threat mitigation
Dedicated HSMs
Graphic Policy Simulator
Identify, Location, and Time Policies
Individual API Call Policies
Key Usage Auditing
Availability Zone architecture for
high operational resiliency
Synchronous data replication
between AZs within a region
Visibility into real-time network
performance
Broad IPv6 support
Multiple NICs per VM
41. Elastic GPUs On EC2
P2M4 D2 X1 G2T2 R4 I3 C5
General Purpose
GPU
General Purpose
Dense storage Large memory
Graphics intensiveMemory intensive High I/O
Compute intensiveBurstable
Lightsail
Simple VPS
F1
FPGAs
A Broad Spectrum Of Compute Capabilities In The AWS Cloud
42. F1 Instances
New instance family with customizable
field programmable gate arrays
Run your custom logic on EC2
Generally available today
43. Bringing hardware
acceleration to all
F1 Instances
F1 Instance
With your custom logic
running on an FPGA
Develop, simulate, debug,
and compile your code
Package as
FPGA images
FPGA images available in AWS Marketplace
45. Secure financial
services
On-demand,
customized
entertainment
3.2 million
online razor
subscribers
Transforming
oil and gas
Migrated 300
servers to AWS
in 6 months
Unprecedented
scale and speed
Cut development
cycles by >50%
Finding patterns in
vast amounts of
data
Reduce analysis
from four months
to four hours
Financial trading with
strong built-in
security and
compliance
Achieving Supersonic Speed
Migrated 300
servers to AWS
in 6 months
Directly upload
high bit rate video
48. PURCHASING AND
INVOICES GO TO
CLOUD WITH AWS
Ilari Nurmi
Senior Vice President
Purchase-to-Pay Business
Simplify Operations, Spend Smarter.
49. OVER 1M BUSINESSES CONNECTED TO
BASWARE NETWORK, THOUSANDS WITH THE P2P
Receive
Shop
Order
Approve
Invoice
Match
Analyze
Pay
Data quality,
lots of paper,
Inefficient processes
Lack of information,
Uncontrolled spending
Poor cash flow visibility,
supply chain risk
50. GO TO CLOUD WHILE KEEPING BUSINESS GOING
SIMPLIFY
INFRASTRUCTURE
STACK
FOCUS ON
INDUSTRY
DIFFERENTIATION
ENABLE
CORPORATE
GROWTH
52. IMPROVED PERFORMANCE, INNOVATION, SCALE
PRICE PERFORMANCE
AND SERVICE
FOOTPRINT
THE MOST
SCALABLE WITH
PARTNERS
THE MOST
SECURE AND AVAILABLE
CLOUD PLATFORM
56. The Ability to Understand Your Customers And
Business Better Through Analytics
Data
Warehouse
Amazon
Redshift
Business
Intelligence
Amazon
QuickSight
Ad-hoc queries
against S3
Amazon
Athena
57. The Ability to Understand Your Customers And
Business Better Through Analytics
Hadoop, Spark,
HBase, Hive, Presto,
Mahout, Pig, Zeppelin
Amazon
EMR
Elasticsearch
Amazon
Elasticsearch
Real-time
streaming data
Amazon
Kinesis
Data
Warehouse
Amazon
Redshift
Business
Intelligence
Amazon
QuickSight
Ad-hoc queries
against S3
Amazon
Athena
58. The Ability to Understand Your Customers And
Business Better Through Analytics
Machine
Learning
Amazon
Machine Learning
Hadoop, Spark,
HBase, Hive, Presto,
Mahout, Pig, Zeppelin
Amazon
EMR
Elasticsearch
Amazon
Elasticsearch
Real-time
streaming data
Amazon
Kinesis
Data
Warehouse
Amazon
Redshift
Business
Intelligence
Amazon
QuickSight
Ad-hoc queries
against S3
Amazon
Athena
59. Amazon Athena:
Interactive Queries On Data In S3
No need to move
data to Athena
Query S3 directly
& right away
No infrastructure or
clusters to setup &
manage
Fast results
within seconds
Pay for just the
queries you run
60. Query S3 directly and right away
No infrastructure or clusters to setup and manage
Fast results within seconds
Pay for just the queries you run
Amazon Athena:
Interactive Queries On Data In S3
61. Redshift, EMR & Athena:
The Right Tool For The Job
Data
Warehouse
Amazon Redshift
Hadoop, Spark
& Presto
Amazon EMR
Ad-hoc queries
against S3
Amazon Athena
62. Petabyte-scale data warehousing for complex queries and super-fast performance
Highly structured Complex
queries across
very large
databases
Pull together data
from different
sources
20x faster than
ad-hoc query
services
Amazon Redshift
66. Redshift Spectrum: Extend Redshift Queries To Data In Amazon S3
Amazon Redshift
Query S3 directly or join data
across Redshift and S3
Support for CSV, JSON,
ORC,
and Parquet data formats
Scale Redshift compute and
storage separately
Redshift Query
Engine
Redshift Data
Data Lake
Amazon S3
67. Complex query against exabyte dataset
4 tables (1 S3, 3 local), 8 filters,
3 joins, 4 group by columns,
1 order by, 1 limit, 1
aggregation,
1 function and 2 casts
Redshift Spectrum Performance
68. Hive (1000 node clusters):
5 years
Complex query against exabyte dataset
4 tables (1 S3, 3 local), 8 filters,
3 joins, 4 group by columns,
1 order by, 1 limit, 1
aggregation,
1 function and 2 casts
Redshift Spectrum Performance
69. Spectrum:
155 seconds
Hive (1000 node clusters):
5 years
Redshift Spectrum Performance
Complex query against exabyte dataset
4 tables (1 S3, 3 local), 8 filters,
3 joins, 4 group by columns,
1 order by, 1 limit, 1
aggregation,
1 function and 2 casts
73. TOMRA COLLECTION SOLUTIONS (TCS)
Global Leader
• 75.000 reverse vending machines (RVMs)
• 35 billion empties for recycling
• ~2 billion consumer sessions annually.
• Part of the TOMRA Group, founded 1972
• 3.300 employees
• 50+ markets
77
Creates sensor-based solutions for
optimal resource productivity
74.
75. 30.000
Reverse vending machines connected
2.000.000
Daily recycling sessions registered
1.250.000.000
Used beverage containers registered
in April 2017
180
Seconds between RVM heartbeats
76. A BROAD PORTFOLIO FOR MACHINE OWNERS
80
Analytics
Portal
In-store marketing
Consumer engagement
Notify+Assist
77. CONNECTIVITY - CHALLENGE AND OPPORTUNITY
• Early adopter of machine to
machine connectivity.
• Scaling issues in legacy data
collection and processing solutions.
• Rapid connectivity growth from
2015, more real-time services.
• Modern assets and new services
double the amount of data
transmitted.
78. HOW WE USE AWS FOR TOMRA CONNECT
82
Europe / ROW
North America
ON-PREMISE
ON-PREMISE
ON-PREMISE
79. BENEFITS REALIZED
83
• Freedom for system administrators.
• Freedom for developers.
• Availability of services, competence and support.
• Avoiding ‘big-bang’ replacement of legacy services.
80. OUR ROAD AHEAD WITH AWS
EXPAND
MOVE
DATA ANALYSIS
PREDICTIVE
ANALYTICS
COMPLETE
Develop infrastructure to achieve efficiencies with new managed services.
Move more functionality to AWS.
Rethink existing data storage strategies, optimize use cases and cost, making
both structured and unstructured analytics tools available to users.
Introduce predictive- and machine learning solutions.
When appropriate, switch data collection and basic operational data stores to AWS
infrastructure.
85. Train Custom Predictive Models
With Amazon Machine Learning
Data
(S3 and Redshift)
Custom
prediction API
Amazon ML
86. In the cloud
At the edge
Train Custom Deep Learning Models
With Amazon Deep Learning AMI
Data
(S3, EFS, EBS)
Custom deep
learning model
Deep learning AMI
89. “See” Objects, Scenes, And Faces With Amazon Rekognition
City 91,4 %
Downtown 91,4 %
Metropolis 91,4 %
Urban 91,4 %
Building 56,2 %
High Rise 56,2 %
Dock 55,6 %
Dawn 52,4 %
90. “See” Faces and Emotions with Amazon Rekognition
Looks like a face 99,9 %
Appears to be male 99,9 %
Age range 27 - 44 years old
Smiling 99,2 %
Appears to be happy 99,5 %
Not wearing eyeglasses 99,9 %
91. Content Moderation With Amazon Rekognition
Automated scoring of images for inappropriate content
92. Content Moderation With Amazon Rekognition
Suggestive: male swimwear or underwear (80.9%)
Automated scoring of images for inappropriate content
100. Integrated
development in the
AWS Console
Trigger Lambda
functions
Continually improving
ASR and NLU models
Multi-step
conversations
Enterprise
connectors
Fully
managed
Salesforce Microsoft Dynamics
Marketo Zendesk
Quickbooks Hubspot
Amazon Lex
Speech recognition and natural language understanding
105. ENGINES
3 May 2017 Info class Public IUA / Jonas Östergren, AWS Summit 113
TRUCKS BUSES AND COACHES
113
SERVICES
106. 3 May 2017 Info class Public IUA / Jonas Östergren, AWS Summit 114
Connected Digitalisation
1001100101001010
1111010010101001
1010101000101111
1010011001011000
110011001
Data
Solution
and
services
Automation Flexibility Cost Transform
107. 3 May 2017 Info class Public IUA / Jonas Östergren, AWS Summit 115
Our strategic direction – Cloud first
Cloud Adoption
Line organisation
Enabler for the cloud transformation
Driver of cloud questions
Accomplished
Team
Platform
Training
20-30 teams in transformation
Line
organisation
108. 3 May 2017
Info class Public IUA / Jonas Östergren, AWS Summit 116
The benefits of working with AWS
Uptime
Services
Scalability
Mature service portfolio and platform support
Support for innovation and agile development
Innovation
Scalability
Global availability
Support
Experienced support (Pro service), Training, CAF
3 May 2017
109. 3 May 2017 Info class Public IUA / Jonas Östergren, AWS Summit 117
Future plans
Continue our digitalization and transformation journey
Connected
Autonomous
Electrified
Challenge our legacy
Roadmap for lift & shift
Extension of data centers
Adopt over time
Way of working
Organisation, processes, methods
Training
115. Migrating Databases To AWS
22,000+ databases migrated
Migrate between
on-prem and AWS
Migrate between
databases
Automated schema
conversion
Data replication for
zero downtime migrations
116. Amazon Aurora:
Speed And Availability Of Commercial Databases,
With Cost-Effectiveness Of Open Source
Up To 5x
Performance
Of High-end MySQL
Highly
Available and
Durable
MySQL
Compatible
1/10th The Cost Of
Commercial Grade
Databases
Fastest Growing
AWS Service,
Ever
117. Amazon Aurora PostgreSQL-Compatible Edition
Fully PostgreSQL
Compatible
Several times better
performance than
typical PostgreSQL
database
Scalable,
Durable and
Secure
Migrate From
RDS For
PostgreSQL
1/10th The Cost Of
Commercial Grade
Databases
Preview Available Today
118. Lodging Inventory
System
Scale for large
events
Billions of financial
transactions
Achieving Flight With Amazon Aurora
Petabytes of streams
and playback artifacts
>2 billion
rows
<1 millisecond
response time
Millions of
transactions per day
Reduced
operational burden
121. The Rise Of Microservices Has Been Enabled By Containers
Monolithic application Services Microservices
122. Challenges With Running Containers Today
Cluster management Scaling Fault tolerance Securing your environment
123. Amazon EC2 Container Service (ECS)
T h e b e s t w a y t o r u n y o u r c o n t a i n e r s i n p r o d u c t i o n
Container
management
Container
registry
No infrastructure
management
Access to EBS,
ELB, CloudWatch
Integration
with IAM
Batch and long running
task scheduling
Multi-AZ
aware
124. CORE BUILDING BLOCKS
DEVELOPER TOOLS
A W S h a s t h e c o m p l e t e c o n t a i n e r p l a t f o r m t o b u i l d a n d o p e r a t e
m i c r o s e r v i c e s a t s c a l e
Container management
Logs and events DNS
Registry Build and test
Roles Routing rulesSecrets management Coordinate
Integration
EC2 Container
Registry CodeBuild CodePipeline
APPLICATION SERVICES
CloudWatch IAM
Amazon
Route53
Parameter
Store
Application
Load Balancer
Step
Functions
EC2 Container
Service
Autoscaling
Availability
127. What Do Serverless Applications Look Like?
No provisioning or
management
Scales with usage Never pay for idle Fault tolerance built in
128. A W S h a s t h e c o m p l e t e p l a t f o r m t o d e l i v e r a n d o p e r a t e s e r v e r l e s s a p p l i c a t i o n s
Application
modeling
framework
SAM
CI/CD
CodePipeline
Diagnostics
X-Ray
Monitoring
CloudWatch
SDKs and tools
SDKs
IDE Plugins
Third-party
Serverless Framework
Sparta Apex, Loggly, Splunk,
SumoLogic etc.
State management
Step
Functions
Notifications
SNS
Queues
SQS
Streaming analytics
Kinesis
API proxy
API Gateway
Compute
Lambda
Storage
S3
Database
DynamoDB
Networking
VPC
Security
IAM
CodeBuild
CORE BUILDING BLOCKS
DEVELOPER TOOLS
APPLICATION SERVICES
CloudFormation
Build and
test
Templates
129. Run code without
thinking about servers
Serverless compute
AWS Lambda
Pay only for the
compute time you
consume
Integrated with
12 services
Run your code based
on API calls or
triggers from AWS
services
131. Scaling out Keeping state Error handling AuditingOperating
The Pains Of Coordination
132. Select image
converter
RAW to JPEG RAW to PNGRAW to TIFF
Load in Database
Start
End
Unsupported image typeParallel Steps
AWS Step Functions
133. Analyze and debug distributed applications in production
AWS X-Ray
Distributed
tracing
See end-to-end
view of
requests
View service
map
Discover root
causes of
issues
Supports apps
running on EC2,
ECS, and Elastic
Beanstalk
138. Reducing Response Time To Microseconds
Deploy and
operate
caches
Complex
application
logic
Specialized
skills
Scale and
availability
139. Preview available today
Amazon DynamoDB Accelerator (DAX)
A fully managed, in-memory cache delivering 10x faster query
performance
140. Amazon DynamoDB Accelerator (DAX): 10x Faster
Cache
DAX
Amazon
DynamoDB
Microseconds response time
Millions of requests per second
Fully managed, highly available
No need to rewrite your applications
Your
applications
141. Real-time social
experience
Reduced time to
service by 300%
Serverless for app
and website
Assess trending
stories 50% faster
10x revenue
growth
Processes 4,000
requests per second
Retail marketing
application
Increased efficiency
and scalability
Achieving Invisibility
Microservice
architecture manages
usage spikes
144. Viaplay – Nordic Streaming Pioneer
Winner Swedish Quality Index 2015 & 2016 ahead of International Peers
4 Countries & Languages
90% of Consumer Devices
+1 Tbps Peak Delivery
15 000+ Live Events per year
25,000 titles of Movies & Series
130 Linear TV-Channels
Launched in 2007, part of MTG AB
145. MTG platform powers multiple Businesses & Brands
A Subscription, Transactional & Advertising Video on Demand Platform
Ingest Edit IdentifyStore
PC & Mac (HTML5)
iOS & Android
Apple TV, Chromecast
& Android TV
PlayStation 3 & 4
Xbox One, Xbox 360
Samsung, LG TV, Philips & Sony
Discover Personalize Navigate Playback
Monetize Secure Monitor Innovate
146. 100% on premise since 2014
• 15,000 events
• 130 linear channels
• 48 hours catch up
• Ultra HD Support
Launching cloud solution in 2017
• 3,000 titles in 1080p & Dolby
• Scaling towards 30,000
• Ultra HD ready
Infrastructure Strategy for Tbps Delivery
Playout for Live Video Playout for Video on Demand
NEW
100% cloud based since 2012
• Prod, Stage & Test
• +50 micro services
• +2500 instances peak
Applications & API Services
147. Optimized for Scale, Speed & Flexibility
Creating opportunities for Rapid and Distributed Development
Continuous Deployment &
Test Automation
Automated and Rapid Scaling Infrastructure as Code
5x
5x the base capacity
during prime time
10 releases per day &
automated capacity testing
Reproducible, testable &
versioned to support
distributed development
148. Launching VoD Origin on AWS
Packaging & Securing HLS/DASH/SMOOTH Video on the Fly
• Real time packaging & DRM
• Custom resolution, bitrate & audio per device
• 3,000 titles in 1080p & Dolby Digital
• Scaling towards 30,000 titles
• Ultra HD ready
152. Startups Are Breathing New Life Into Virtually Every Industry
Accommodation
Payments CommunicationTradingVisual Search
Healthcare
Teams
Commerce Education Customer Relations
153. SaaS Companies Are Breathing New Life
Into Virtually Every Industry
ERP
Content management Business Applications
Operation Intelligence
Data Integration
CommunicationCRM
Healthcare