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Darren Mowry
Head of AWS Nordics
W E L C O M E
© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Stockholm Region 2018
Mikael Damberg
Swedish Minister of Enterprise and Innovation
Mikael Damberg
Minister for Enterprise and Innovation
Ministry of Enterprise and Innovation 6
Photo:HansStrand/Folio
Innovative growth
Ministry of Enterprise and Innovation 7
Foto:VolvoCars
Global societal challenges
Näringsdepartementet 8
Foto:PetrusOlsson/Folio
Foto:TorbjörnPerson/Folio
Foto:LoveLannér/Folio
Innovation partnership programmes
Ministry of Enterprise and Innovation 9
Foto: AstraZeneca, Chalmers, MKB Fastighets AB, Skogsindustrierna, Anna Nildén/Folio
Smart Industry
Näringsdepartementet 10
Foto:Boliden
Foto:Boliden
Mikael Damberg
Minister for Enterprise and Innovation
Ministry of Enterprise and Innovation 11
Photo:HansStrand/Folio
Adrian Cockcroft
VP of Cloud Architecture Strategy, AWS
ADRIAN COCKCROFT
VP Cloud Architecture Strategy, AWS
Capacity For Our Customers To Grow
A Quick Update On The AWS Business…
~$14B Revenue Run Rate
(trailing 12 months , as of Q4 2016)
47% YoY Growth
( Q 4 2015 v s Q 4 2016)
Millions Of Active Customers Per Month
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%
Largest Number Of Startup Customers
Largest Number Of Enterprise Customers
Largest Number Of Public Sector Customers
Broadest Ecosystem of System Integrators:
Premier Consulting Partners
Broadest Ecosystem of ISVs
*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
Where Are We In The Cloud’s Evolution?
New Normal
In 2014
Where Are We In The Cloud’s Evolution?
New Normal
In 2014
Control Over
Your Own Destiny
In 2015
S U P E R
P O W E R S
With AWS, It Can
Feel Like You Have Been Given
S U P E R S O N I C
S P E E D
Pace Of Innovation:
New Capabilities Daily
Most Robust, Fully - Featur ed Technology Infr astr uctur e Platfor m
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
Continuous Development Today
Jump between multiple different service consoles and manual tools
Tool 1 Command line Tool 2 Command lineTool 3 Tool 4
AWS CodeStar
Quickly develop, build, and deploy applications on AWS
Generally available today
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
Start projects quickly
with templates
Connect your IDE &
Start Coding
Most Robust, Fully - Featur ed Technology Infr astr uctur e Platfor m
Most Robust, Fully - Featur ed Technology Infr astr uctur e Platfor m
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
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
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
F1 Instances
New instance family with customizable
field programmable gate arrays
Run your custom logic on EC2
Generally available today
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
Genomics
research
Example Use Cases For F1 Instances
Financial
analytics
Real time
video processing
Big data search
and analytics
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
Supersonic Speed In Action
Ilari Nurmi
SVP Purchase-to-Pay at Basware
PURCHASING AND
INVOICES GO TO
CLOUD WITH AWS
Ilari Nurmi
Senior Vice President
Purchase-to-Pay Business
Simplify Operations, Spend Smarter.
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
GO TO CLOUD WHILE KEEPING BUSINESS GOING
SIMPLIFY
INFRASTRUCTURE
STACK
FOCUS ON
INDUSTRY
DIFFERENTIATION
ENABLE
CORPORATE
GROWTH
Amazon
S3
TAKING A LEAP TO THE CLOUD
Amazon
EC2
Amazon
ECS
Amazon EBS
Amazon
VPC
Auto
Scaling
AWS
CloudFormation
AWS
CloudTrail
AWS
Config
Amazon
SES
Amazon
SNS
Amazon API
Gateway
AWS Shield
AWS
Lambda
AWS KMS
Amazon
RDS
Amazon
DynamoDB
Amazon
ElastiCache
AWS Step
Functions
Amazon ECR
Amazon
CloudWatchElastic Load
Balancing
RabbitMQ
Redis
Amazon
CloudSearch
Amazon
Glacier
Amazon
SQS
IMPROVED PERFORMANCE, INNOVATION, SCALE
PRICE PERFORMANCE
AND SERVICE
FOOTPRINT
THE MOST
SCALABLE WITH
PARTNERS
THE MOST
SECURE AND AVAILABLE
CLOUD PLATFORM
FUTURE: BIG DATA, MACHINE LEARNING, AI
X - R A Y V I S I O N
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
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
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
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
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
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
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
Customers Love Redshift
But Customers Are Storing Even More Data In Amazon S3
Data Lake
Amazon Redshift
Redshift Query Engine
Redshift Data
Amazon S3
Petabytes Exabytes
Generally available today
Redshift Spectrum
Run queries directly on exabytes of data in Amazon S3
Introducing
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
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
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
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
Customers Already Using Redshift Spectrum
Leading the resource revolution
Aleksander Mortensen
SVP Collection Solutions, Head of TCS Digital at Tomra
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
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
A BROAD PORTFOLIO FOR MACHINE OWNERS
80
Analytics
Portal
In-store marketing
Consumer engagement
Notify+Assist
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.
HOW WE USE AWS FOR TOMRA CONNECT
82
Europe / ROW
North America
ON-PREMISE
ON-PREMISE
ON-PREMISE
BENEFITS REALIZED
83
• Freedom for system administrators.
• Freedom for developers.
• Availability of services, competence and support.
• Avoiding ‘big-bang’ replacement of legacy services.
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.
P R E C O G N I T I O N
See Speak UnderstandHearPredict
Building Smarter Applications
Amazon
ML
Deep
learning AMI
Building Smarter Applications
See Speak UnderstandHearPredict
Train Custom Predictive Models
With Amazon Machine Learning
Data
(S3 and Redshift)
Custom
prediction API
Amazon ML
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
Building Smarter Applications
Speak UnderstandHearSee
Amazon
ML
Deep
learning AMI
Predict
Amazon
Rekognition
See
Amazon
ML
Deep
learning AMI
Predict Speak UnderstandHear
Building Smarter Applications
“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 %
“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 %
Content Moderation With Amazon Rekognition
Automated scoring of images for inappropriate content
Content Moderation With Amazon Rekognition
Suggestive: male swimwear or underwear (80.9%)
Automated scoring of images for inappropriate content
Building Smarter Applications
Speak UnderstandHear
Amazon
Rekognition
See
Amazon
ML
Deep
learning AMI
Predict
Amazon
Polly
Speak UnderstandHear
Building Smarter Applications
Amazon
Rekognition
See
Amazon
ML
Deep
learning AMI
Predict
Generate Lifelike Speech With Amazon Polly
Customize how
it’s said
Customize what
is said
Whispering
voices
Customize how
it’s said
Customize what
is said
Generate Lifelike Speech With Amazon Polly
Whispering
voices
Customize what
is said
Customize how
it’s said
Speech
marks
Generate Lifelike Speech With Amazon Polly
UnderstandHear
Amazon
Polly
Speak
Amazon
Rekognition
See
Amazon
ML
Deep
learning AMI
Predict
Building Smarter Applications
Natural language
understanding
Automatic
speech recognition
Amazon
Lex
Amazon
Lex
Amazon
Polly
Speak
Amazon
Rekognition
See
Amazon
ML
Deep
learning AMI
Predict
Building Smarter Applications
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
Amazon Lex
Generally available today
Some Of The Customers Using Amazon AI In Production Today
Driving the shift towards a sustainable
transport system
Jonas Östergren
Senior Manager Infrastructure Delivery Scania IT
ENGINES
3 May 2017 Info class Public IUA / Jonas Östergren, AWS Summit 113
TRUCKS BUSES AND COACHES
113
SERVICES
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
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
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
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
F L I G H T
Old World Databases
Very Expensive Proprietary Lock-In Punitive
Licensing
Old World Databases
AUDIT
Very Expensive Proprietary Lock-In Punitive
Licensing
You’ve Got
Mail!
It’s Why Customers Are Moving
To Open Database Engines
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
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
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
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
I N V I S I B I L I T Y
Independent
scaling
Independent security
and permissions
Microservices: Small, Independent Building Blocks
Independent
deployments
Improved
fault isolation
The Rise Of Microservices Has Been Enabled By Containers
Monolithic application Services Microservices
Challenges With Running Containers Today
Cluster management Scaling Fault tolerance Securing your environment
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
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
Customer Success Examples With ECS
What Do Serverless Applications Look Like?
No provisioning or
management
Scales with usage Never pay for idle Fault tolerance built in
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
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
Customer Success With AWS Lambda
Scaling out Keeping state Error handling AuditingOperating
The Pains Of Coordination
Select image
converter
RAW to JPEG RAW to PNGRAW to TIFF
Load in Database
Start
End
Unsupported image typeParallel Steps
AWS Step Functions
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
fanout-00002
hello-1.mbfzqxzcpe.us-east-..
hello-2.mbfzqxzcpe.us-east-..
fanout-00005
fanout-00003
throttle
DynamoDB
index
DynamoDB
fanout-00004
400 traces/min
avg - 0.30 ms
600 traces / min
avg - 0.19 ms
1000 traces /min
avg - 0.13 ms
400 traces / min
avg - 0.30 ms
1000 traces / min
avg - 0.28 ms
400 traces / min
avg - 0.30 ms
850 traces / min
avg - 0.16 ms
850 traces / min
avg - 0.17 ms
Client
Client
800 traces / min
avg - 0.19 ms
fanout-00001
560 traces / min
avg - 0.19 ms
fanout-00006
AWS X-Ray
Highly available Consistent performance Proven scale
AZ1
AZ3
AZ2
Amazon DynamoDB: A Database For Your Serverless Applications
VPC endpointsHighly available Consistent performance Proven scale
AZ1
AZ3
AZ2
Amazon DynamoDB: A Database For Your Serverless Applications
High-Velocity Use Cases
Web IoTGaming Ad TechMobile
Reducing Response Time To Microseconds
Deploy and
operate
caches
Complex
application
logic
Specialized
skills
Scale and
availability
Preview available today
Amazon DynamoDB Accelerator (DAX)
A fully managed, in-memory cache delivering 10x faster query
performance
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
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
Scale, Speed & Flexibility in Action
Kaj af Kleen
CTO at Viaplay
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
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
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
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
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
In Conclusion…
I M M O R T A L I T Y
Startups Are Breathing New Life Into Virtually Every Industry
Accommodation
Payments CommunicationTradingVisual Search
Healthcare
Teams
Commerce Education Customer Relations
SaaS Companies Are Breathing New Life
Into Virtually Every Industry
ERP
Content management Business Applications
Operation Intelligence
Data Integration
CommunicationCRM
Healthcare
Enterprise Transformation
T H A N K Y O U

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Welcome Keynote - AWS Summit Stockholm

  • 1. Darren Mowry Head of AWS Nordics
  • 2. W E L C O M E
  • 3.
  • 4. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Stockholm Region 2018
  • 5. Mikael Damberg Swedish Minister of Enterprise and Innovation
  • 6. Mikael Damberg Minister for Enterprise and Innovation Ministry of Enterprise and Innovation 6 Photo:HansStrand/Folio
  • 7. Innovative growth Ministry of Enterprise and Innovation 7 Foto:VolvoCars
  • 8. Global societal challenges Näringsdepartementet 8 Foto:PetrusOlsson/Folio Foto:TorbjörnPerson/Folio Foto:LoveLannér/Folio
  • 9. Innovation partnership programmes Ministry of Enterprise and Innovation 9 Foto: AstraZeneca, Chalmers, MKB Fastighets AB, Skogsindustrierna, Anna Nildén/Folio
  • 11. Mikael Damberg Minister for Enterprise and Innovation Ministry of Enterprise and Innovation 11 Photo:HansStrand/Folio
  • 12.
  • 13. Adrian Cockcroft VP of Cloud Architecture Strategy, AWS
  • 14. ADRIAN COCKCROFT VP Cloud Architecture Strategy, AWS
  • 15. Capacity For Our Customers To Grow A Quick Update On The AWS Business…
  • 16. ~$14B Revenue Run Rate (trailing 12 months , as of Q4 2016) 47% YoY Growth ( Q 4 2015 v s Q 4 2016)
  • 17. Millions Of Active Customers Per Month
  • 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%
  • 19. Largest Number Of Startup Customers
  • 20. Largest Number Of Enterprise Customers
  • 21. Largest Number Of Public Sector Customers
  • 22. Broadest Ecosystem of System Integrators: Premier Consulting Partners
  • 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
  • 28. S U P E R S O N I C S P E E D
  • 29. Pace Of Innovation: New Capabilities Daily
  • 30. Most Robust, Fully - Featur ed Technology Infr astr uctur e Platfor m
  • 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
  • 33. AWS CodeStar Quickly develop, build, and deploy applications on AWS Generally available today
  • 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
  • 36. Connect your IDE & Start Coding
  • 37. Most Robust, Fully - Featur ed Technology Infr astr uctur e Platfor m
  • 38. Most Robust, Fully - Featur ed Technology Infr astr uctur e Platfor m
  • 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
  • 44. Genomics research Example Use Cases For F1 Instances Financial analytics Real time video processing Big data search and analytics
  • 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
  • 51. Amazon S3 TAKING A LEAP TO THE CLOUD Amazon EC2 Amazon ECS Amazon EBS Amazon VPC Auto Scaling AWS CloudFormation AWS CloudTrail AWS Config Amazon SES Amazon SNS Amazon API Gateway AWS Shield AWS Lambda AWS KMS Amazon RDS Amazon DynamoDB Amazon ElastiCache AWS Step Functions Amazon ECR Amazon CloudWatchElastic Load Balancing RabbitMQ Redis Amazon CloudSearch Amazon Glacier Amazon SQS
  • 52. IMPROVED PERFORMANCE, INNOVATION, SCALE PRICE PERFORMANCE AND SERVICE FOOTPRINT THE MOST SCALABLE WITH PARTNERS THE MOST SECURE AND AVAILABLE CLOUD PLATFORM
  • 53. FUTURE: BIG DATA, MACHINE LEARNING, AI
  • 54.
  • 55. X - R A Y V I S I O N
  • 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
  • 64. But Customers Are Storing Even More Data In Amazon S3 Data Lake Amazon Redshift Redshift Query Engine Redshift Data Amazon S3 Petabytes Exabytes
  • 65. Generally available today Redshift Spectrum Run queries directly on exabytes of data in Amazon S3 Introducing
  • 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
  • 70. Customers Already Using Redshift Spectrum
  • 71. Leading the resource revolution
  • 72. Aleksander Mortensen SVP Collection Solutions, Head of TCS Digital at Tomra
  • 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.
  • 81.
  • 82. P R E C O G N I T I O N
  • 84. Amazon ML Deep learning AMI Building Smarter Applications See Speak UnderstandHearPredict
  • 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
  • 87. Building Smarter Applications Speak UnderstandHearSee Amazon ML Deep learning AMI Predict
  • 88. Amazon Rekognition See Amazon ML Deep learning AMI Predict Speak UnderstandHear Building Smarter Applications
  • 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
  • 93. Building Smarter Applications Speak UnderstandHear Amazon Rekognition See Amazon ML Deep learning AMI Predict
  • 94. Amazon Polly Speak UnderstandHear Building Smarter Applications Amazon Rekognition See Amazon ML Deep learning AMI Predict
  • 95. Generate Lifelike Speech With Amazon Polly Customize how it’s said Customize what is said
  • 96. Whispering voices Customize how it’s said Customize what is said Generate Lifelike Speech With Amazon Polly
  • 97. Whispering voices Customize what is said Customize how it’s said Speech marks Generate Lifelike Speech With Amazon Polly
  • 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
  • 102. Some Of The Customers Using Amazon AI In Production Today
  • 103. Driving the shift towards a sustainable transport system
  • 104. Jonas Östergren Senior Manager Infrastructure Delivery Scania IT
  • 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
  • 110.
  • 111. F L I G H T
  • 112. Old World Databases Very Expensive Proprietary Lock-In Punitive Licensing
  • 113. Old World Databases AUDIT Very Expensive Proprietary Lock-In Punitive Licensing You’ve Got Mail!
  • 114. It’s Why Customers Are Moving To Open Database Engines
  • 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
  • 119. I N V I S I B I L I T Y
  • 120. Independent scaling Independent security and permissions Microservices: Small, Independent Building Blocks Independent deployments Improved fault isolation
  • 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
  • 126.
  • 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
  • 130. Customer Success With AWS Lambda
  • 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
  • 134. fanout-00002 hello-1.mbfzqxzcpe.us-east-.. hello-2.mbfzqxzcpe.us-east-.. fanout-00005 fanout-00003 throttle DynamoDB index DynamoDB fanout-00004 400 traces/min avg - 0.30 ms 600 traces / min avg - 0.19 ms 1000 traces /min avg - 0.13 ms 400 traces / min avg - 0.30 ms 1000 traces / min avg - 0.28 ms 400 traces / min avg - 0.30 ms 850 traces / min avg - 0.16 ms 850 traces / min avg - 0.17 ms Client Client 800 traces / min avg - 0.19 ms fanout-00001 560 traces / min avg - 0.19 ms fanout-00006 AWS X-Ray
  • 135. Highly available Consistent performance Proven scale AZ1 AZ3 AZ2 Amazon DynamoDB: A Database For Your Serverless Applications
  • 136. VPC endpointsHighly available Consistent performance Proven scale AZ1 AZ3 AZ2 Amazon DynamoDB: A Database For Your Serverless Applications
  • 137. High-Velocity Use Cases Web IoTGaming Ad TechMobile
  • 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
  • 142. Scale, Speed & Flexibility in Action
  • 143. Kaj af Kleen CTO at Viaplay
  • 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
  • 149.
  • 151. I M M O R T A L I T Y
  • 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
  • 155. T H A N K Y O U