Werden Sie ein Teil von Internet der Dinge auf AWS. AWS Enterprise Summit 2015 Dr. Markus Schmidberger -

Transcription

1 Werden Sie ein Teil von Internet der Dinge auf AWS AWS Enterprise Summit 2015 Dr. Markus Schmidberger - schmidbe@amazon.de

2 Internet of Things is the network of physical objects or "things" embedded with electronics, software, sensors and connectivity to enable it to achieve greater value and service by exchanging data with the manufacturer, operator and/or other connected devices.

3 Forecasts call for Billions and Billions of Connected Devices In 2020, over 30 Bilion connected devices will be in use - Gartner There will be 212 Billion devices or things connected by IDC Driven by reducing price per connection and the consequent rapid growth in the number of machine-to-machine (M2M) connections, we expect the number of connected objects to reach 50bn by 2020 (2.7% of things in the world).

4 Top 5 IoT Use Cases for 2020

5 Kärcher uses AWS to scale globally

6 IoT Data Flow Authorize device & Collect data Store data Process & analyse data Make decisions & Send messages / notifications

7 AWS for Internet of Things

8 AWS Service Breadth & Depth Support Professional Services Training Certification Technology Partners Consulting Partners Ecosystem AWS Marketplace Elastic Beanstalk for Java, Node.js, Containers & Deployment (PaaS) Python, Ruby, PHP and.net OpsWorks CloudFormation IAM CloudTrail Cloud HSM Analytics CloudWatch Management & Administration Management Console Application Services APIs and SDKs Command Line Interface WorkDocs WorkSpaces Mobile Services EMR Redshift Kinesis Data Pipeline CloudFront SQS SES SWF AppStream CloudSearch Cognito Mobile Analytics SNS Networking VPC Direct Connect Route 53 EC2 Compute Elastic Load Balancer Auto Scaling Region s Storage MySQL, PostgreSQL Oracle, SQL Server S3 EBS Glacier Storage Gateway Import/Export RDS DynamoDB ElastiCache Availability Zones Content Delivery POPs Databases

9 IoT Data Flow & AWS Amazon Kinesis Authorize device & Collect data Amazon Cognito DynamoDB Store data Amazon S3 Amazon Kinesis Amazon SNS Kinesis-enabled app Process & analyse data Make decisions & Send messages / notifications Amazon EMR

10 Using AWS, Dash Streams More Than 1 TB of Real-Time Data Per Day As a startup, using AWS has allowed us to scale nicely and use resources without spending a lot of capital. Brian Langel CTO, Dash Needed scale IT resources to create an app that would offer real-time information to drivers Developed and deployed the Dash application on the AWS Cloud Streams more than 1 TB of real-time data per day using Amazon Kinesis and processes billions of entries using Amazon DynamoDB Scaled up to support large traffic spikes several thousand updates per second in app usage Dash connects your smartphone to your car with a simple, low-cost device which provides real-time road safety information to drivers. Reduced operating costs by $200,000 per year

11 AWS Global Footprint enables IoT 11 regions 28 availability zones 53 edge locations

12 AWS Partner Network & AWS Professional Services Professional Services Select the best architecture & accelerate your IoT journey

13 AWS Streaming Service: Amazon Kinesis

14 Amazon Kinesis Aggregate and archive to S3 Millions of sources producing 100s of terabytes per hour Front End Authentication Authorization AZ AZ AZ Durable, highly consistent storage replicates data across three data centers (availability zones) Ordered stream of events supports multiple readers Real-time dashboards and alarms Amazon Web Services Inexpensive: $0.028 per million puts Machine learning algorithms or sliding window analytics Managed Service for streaming data ingestion, and processing Aggregate analysis in Hadoop or a data warehouse

15 Knowlarity Scales to Handle Two Million Business Calls Each Day with 99.99% Service Uptime on AWS Using AWS improved service time to 99.99% and helps Knowlarity balance its daily load of two million business calls volume efficiently. Bipul Parua CTO and Co-Founder, Knowlarity Knowlarity is a business telephony service provider based Gurgaon, India Wanted to offer a new VoIP telephony service to its enterprise customers and scale with ease Uses AWS to handle up two million business calls per day generated by its VoIP services Designed to scale and handle peak call traffic that can reach over one million business calls per hour Offers its customers percent availability Building its internal data mining and analytics platform using Amazon Kinesis, Amazon Redshift, and Amazon Elastic MapReduce

16 Internet of Things Demo

17 IoT Example Architecture Streaming Service Amazon Kinesis Sensors

18 IoT Example Architecture - Details Authentication Useridentification Amazon Cognito Application Management Elastic Beanstalk Storage Amazon S3 Streaming Service Amazon Kinesis Sensors Streaming Dashboard Kinesis Application

19 IoT Sensor Data Demo Development time: 40 h Skills required: AWS, JavaScript, R Identify your IoT Use Cases Create an AWS account IoT Workshop with Experts Proof of Concept Run in Production

20 Q & A Markus Schmidberger - schmidbe@amazon.de

21 Appendix

22 Example Architecture - Global Amazon Route 53 Geo Routing Regional Websites Region Ireland Analyses Amazon EMR Region Virginia Global Storage Amazon S3

23 Delay Wifi 1-2 s Kinesis 200 ms Dashboard 300 ms

24 Rstats & Shiny R ( is a programming language and software environment for statistical computing and graphics. Shiny (shiny.rstudio.com) is a web application framework for R. It turns your analyses into interactive web applications without HTML, CSS, or JavaScript knowledge required. Shiny-Server is designed to serve up multiple applications on the same server.