Introduction to Cloud Computing with Amazon Web Services

1. Introduction to Cloud Computing with Amazon Web Services Steve Shirkey Solutions Architect ASEAN Amazon Web Services

2. Steve Shirkey Solutions Architect ASEAN Amazon Web Services

3. « Invention requires two things: the ability to try a lot of experiments, and not having to live with the collateral damage of failed experiments » Andy Jassy CEO, Amazon Web Services

4. A broad and deep platform that helps customers build sophisticated, resilient and scalable applications

5. Web Services Core Services Compute Storage Database Networking Infrastructure RegionsAvailability Zones Edge Locations Platform Services Analytics & AI IoT Gaming Mobile Desktop & App Streaming Business Productivity Developer Tools Business Intelligence Access Control Auditing Monitoring EncryptionSecurity Applications A P I & S D K s

6. On-Demand Model: Pay as you go Analogy: Electricity services • Pay only for what you use • Virtually unlimited capacity (no capacity planning) • Get charged per compute hour, GB of storage used, transactions etc. • Turn it off anytime (and stop paying for it)

7. Why are companies flocking to the cloud so quickly?

8. Move from capital expense to variable expense $ Why Are Companies Flocking To The Cloud So Quickly?

9. No Upfront Cost Align Revenue Model with Infrastructure Cost Revenue Infra Cost Margin Rate Time $

10. Move from capital expense to variable expense Lower variable expense than they could achieve on their own $ Why Are Companies Flocking To The Cloud So Quickly?

11. AWS Pricing Philosophy Ecosystem Global Footprint New Features New Services More AWS Usage More Infrastructure Reduced Prices More CustomersInfrastructure Innovation 59 price reductions since 2006 Lower Infrastructure Costs Economies of Scale

12. Move from capital expense to variable expense Lower variable expense than they could achieve on their own Stop guessing capacity $ Why Are Companies Flocking To The Cloud So Quickly?

13. Auto-Scalable Infrastructure • AWS allows auto-scaling • Services and virtual servers dynamically provisioned based on demand • Fully managed services for specific use cases charged only per consumption Load Capacity Amazon Elastic Compute Cloud Instance

14. 500,000 writes / second to their managed AWS database 200 additional servers during Superbowl 0 additional servers right after

15. Move from capital expense to variable expense Lower variable expense than they could achieve on their own Stop guessing capacity Increased agility $ Why Are Companies Flocking To The Cloud So Quickly?

16. AWS’ History of Innovation 2011 Amazon ElastiCache Amazon SES CloudFormation Direct Connect AWS Elastic Beanstalk GovCloud 2013 Amazon CloudTrail Amazon CloudHSM Amazon WorkSpaces Amazon Kinesis Amazon Elastic Transcoder Amazon AppStream AWS OpsWorks 2015 Amazon EFS Amazon API Gateway Amazon WorkMail Amazon Machine Learning AWS Device Farm AWS WAF Amazon Elasticsearch Service Amazon QuickSight AWS Snowball AWS Kinesis Firehose AWS RDS for MariaDB Amazon Inspector AWS Database Migration Service AWS IoT Amazon EC2 Container Registry AWS Kinesis Analytics AWS Mobile Hub Amazon CloudWatch 2009 Amazon RDS Amazon VPC AWS Auto Scaling AWS Elastic Load Balancing AWS EMR Amazon FPS 2010 Amazon SNS AWS Identity & Access Management Amazon Route 53 AWS Import/Export 2012 Amazon SWF AWS Redshift Amazon Glacier Dynamo DB Amazon CloudSearch Storage Gateway AWS Data Pipeline Trusted Advisor 2014 AWS KMS Amazon Config Amazon Cognito Amazon Mobile Analytics Amazon EC2 Container Service RDS for Aurora Amazon Lambda Amazon WorkDocs Directory Service AWS CodeCommit AWS CodePipeline AWS Service Catalog AWS CodeDeploy CloudWatch Logs 2016 AWS Organizations Amazon Quicksight AWS step functions Amazon Lex Amazon Polly Amazon Rekognition AWS Greengrass Amazon EC2 elastic GPU Amazon EC2 FPGA (F1) Amazon EC2 P2 AWS Batch Amazon Lightsail Lambda@Edge Blox Aurora with PostgreSQL compability AWS codeBuild AWS X-ray AWS Snowball Edge Amazon Pinpoint AWS Shield Cloudwatch Events AWS Glue Amazon Pinpoint 48 61 82 159 280 516 722 1,017 New Services and Major New Feature Announcements

17. Move from capital expense to variable expense Lower variable expense than they could achieve on their own Stop guessing capacity Increased agility Remove undifferentiated heavy lifting $ Why Are Companies Flocking To The Cloud So Quickly?

18. Enterprises Can’t Afford to be Slow Add New Dev Environment Add New Prod Environment Add New Environment in Japan Add 1,000 Servers Remove 1,000 Servers Deploy 1 PB Data Warehouse Shut down 1 PB Data Warehouse Infrastructure in Minutes!Infrastructure in Weeks?

19. Move from capital expense to variable expense Lower variable expense than they could achieve on their own Stop guessing capacity Increased agility Remove undifferentiated heavy lifting Go global in minutes $ Why Are Companies Flocking To The Cloud So Quickly?

20. 16 Regions 42 Availability Zones 70 Edge Locations AWS Global Infrastructure Millions of monthly active customers across the world

21. Global Enterprise Customers General Electric Johnson & Johnson Merck Nordstrom “There is no public cloud infrastructure provider that has more robust enterprise capabilities.” Marc Benioff, Chairman & CEO, Salesforce

22. ” “ Capital One Will Reduce Datacenter Footprint from 8 to 3 by 2018 Capital One is one of the largest banks in the US and offers credit cards, checking and savings accounts, auto loans, rewards, and online banking services for consumers and businesses. The financial service industry attracts some of the worst cyber criminals. We work closely with AWS to develop a security model that we believe enables us to operate more securely in the public cloud than we can in our own data centers. Rob Alexander CIO, Capital One ” “ • Capital One recognized that its customers are adopting mobile and digital platforms rapidly • It is using AWS to develop, test, build, and run its most critical workloads, including its new flagship mobile-banking application • As part of this strategy, Capital One looks to reduce its datacenter footprint from eight to three by 2018 • Capital One selected AWS for: o Its security model and pace of innovation o Elasticity to handle purchasing demands at peak times and high availability

23. ” “ MLBAM Uses AWS for Big Data Analysis Behind Statcast Product • Sought a platform capable of scaling up and down quickly to handle data on game plays • Chose AWS to ingest, analyze, and store 17+ petabytes of baseball data per season • Takes less than 12 seconds to capture, analyze, and deliver data to broadcasters for on-air analysis • Scales to handle up to 13 games per day, or just one or two daily, and shuts down in off season • Helps MLBAM deliver new data in new ways to attract more fans By using AWS to power Statcast… we’re ensuring that our sport is relevant, important, and the center of life for the next generation of fans. Joe Inzerillo Executive Vice President and CTO MLB Advanced Media ” “ MLBAM is the interactive media and Internet company of Major League Baseball.

24. ” “ Netflix Delivers Billions of Hours of Content per Month Using AWS. Netflix is one of the world’s leading Internet television network with over 57 million members in nearly 50 countries. Our success with AWS can be attributed to the scalability, elasticity, and global availability of AWS services. Eva Tse Director, Big Data Platform , Netflix ” “ • Needed flexible IT infrastructure to experiment, analyze, and grow its business worldwide. • Using AWS to measure its users’ streaming experiences through its analytics platform. • Reports a reduction from weeks to seconds in testing time for new features. • Netflix operates a 10 PB data ‘warehouse’ on Amazon S3 comprised of hundreds of millions of objects. • Designed to deliver billions of hours of content monthly using tens of thousands of instances across three regions.

25. Hospitality Trading Insurance Grocery This is something “born in the cloud” companies have already discovered. Devices Disruption is much easier today

26. What are some of the use case customers are using AWS for?

27. Customer Facing Applications External Apps on AWS Scalability and Elasticity Auto-Scaling infrastructure to required capacity and match spending to actual utilization High Availability Application deployments that span across multiple facilities with adequate load balancing Global Reach Highly available global services on edge locations across the world Maintainability Fully managed service portfolio for most common application components DNS CDN Load B. Load B.Front App Backend Database Storage

28. ” “ Adroll Uses AWS to Grow by More Than 15,000% in a Year AdRoll, an online advertising platform, serves 50 billion impressions a day worldwide with its global retargeting platforms. We spend more on snacks than we do on Amazon DynamoDB. • Needed high-performance, flexible platform to swiftly sync data for worldwide audience • Processes 50 TB of data a day • Serves 50 billion impressions a day • Stores 1.5 PB of data • Worldwide deployment minimizes latency Valentino Volonghi CTO, Adroll ” “

29. Mobile Applications Identity & Sync Analytics Notifications Data Logic Marketing Phone Tablet Innovation & Agility 0-tier architectures allow simple and quick iterations High Availability Designed and build for scale and availability across multiple facilities Cost Effectiveness No underutilized servers, completely usage based billing Maintainability Version management and cross-device synchronization and testing TestingTester

30. Some of the best Mobile Apps run on AWS

31. ” “ • Supercell needed an infrastructure that allows its developers to deliver the best games • It uses Amazon Web Services to manage the growth of its popular tablet and mobile titles • Scalable cloud allows million-player growth, including expanding into new markets • High-powered analytics give Supercell insights to develop games as a service • Faster server instances provide compute power for new features Supercell Delivers World-Class Mobile Games with AWS Supercell is a Finnish game company known for the hit games Clash of Clans, Hay Day, and Boom Beach. The world of gaming never sleeps ... We owe every player a great experience, and AWS is our platform to make that happen. Sami Yliharju Services Lead, Supercell ” “

32. Corporate Network App A App B App C Container DevOps TemplateVDI Innovation & Agility Automated builds and deployment of code Consistent Regression Testing Numerous disposable environments that can be (re)built within a click allowing regression tests in identical setups Cost Effective Environments can be disposed or stopped when unused Scalability Conduct performance and stress tests with potentially thousands of simulation nodes Development and Test

33. ” “ iZettle Boosts System Performance by 100% Using AWS iZettle provides payments solutions for individuals and small businesses. Queries that took six seconds now take three seconds in our AWS infrastructure. • Needed an infrastructure that could support fast growth • Moved its mission-critical payments platforms to AWS • Boosted system performance by 100% • Ensured support for global expansion ambitions • Accelerated setup of dev environments from one month to 90 minutes Johannes Löfgren Head of DevOps and Infrastructure, iZettle ” “

34. Application Server Virtual Server File Server Database Server Backup System Backup to Cloud Storage • Eliminate tape, hardware, off-site storage • Reduce capital expense for backup infrastructure • Never worry about backup durability • Never run out of backup capacity • Data stored off-site, with high durability, in multiple locations Backup and Archive Amazon S3

35. Application Server Virtual Server File Server Database Server Amazon S3 Solutions supporting backup to S3 Veeam Backup & Replication Symantec Net Backup Oracle RMAN and Secure Backup Module CommVault Simpana AltaVault (SteelStore) Backup System Backup and Archive

36. High Performance Computing Corporate Network Elasticity & Cost Dynamic scalability when compute jobs are required with utility or spot pricing Manageability Managed services to facilitate aggregation and storage Scale Scale to virtually unlimited amount of cores Separation of concerns Decouple storage and compute – utility model with on-demand compute Storage Grid Reporting Streams

37. • Actuarial calculations with 5 million policies over 30-50 year simulation periods • Taps onto Amazon’s GPU-optimized compute capacity to build large calculation clusters to perform Monte Carlo simulations • Using AWS helped them to reduce 10- day process to 10 minutes Transformative HPC Perform thousands of simulations GPU optimized compute cluster Calculate customer’s market risk exposure

38. ” “ National Instruments Saves $1 Million in Hardware Costs National Instruments is a global company that provides advanced technology to engineers and scientists. With Amazon EC2 Spot instances, we save 85–90% in costs. That, in turn, allows us to experiment with less risk. Joe Gardner Principal Cloud Architect, National Instruments ” “ • National Instruments (NI) wanted to lower costs and improve development times as it tested new products • With Amazon EC2 Spot instances, NI can run internal workloads at a fraction of the price of on-demand processing • NI has been saving 85–90% in compute costs as it tests new product features. • NI has saved more than $1 million in on-premises infrastructure costs • NI is also shaving months off of the software development cycle

39. Big Data Analytics Ecosystem Leverage existing open-source and commercial frameworks at utility pricing Manageability Managed compute cluster and machine learning environments Corporate Network Storage Reporting Data Warehouse Elasticity & Cost Dynamic scalability when compute jobs are required with utility or spot pricing Separation of concerns Decouple storage and compute – utility model with on-demand compute Streams Machine Learning Compute

40. ” “ • Wanted a platform to provide greater speed and scalability for analyzing petabyte-scale data • Migrating mission-critical operations to AWS • Can provide analysts with real-time access to 75 billion records collected daily • Can move faster, more efficiently in serving core business processes FINRA Performs Daily Petabyte-Scale Analysis on Trading Data Using AWS The Financial Industry Regulatory Authority (FINRA) is the largest independent regulatory authority in the United States. It is based in Washington, D.C. We chose AWS to deliver innovation at a much larger scale and much faster to our core business. Saman Michael Far Sr. Vice President of Technology ” “

41. • Market surveillance platform ingests 30 billion market events every day and regulates financial trading practices • Leverages Amazon’s virtually unlimited storage to store events and allow analysts to interactively query market dynamics using fully managed map- reduce (Hadoop/Hive) and Hbase clusters Re-Architecting Compliance Unlimited Storage Distributed Computing Interactive Market Queries Ensure compliance 30 billion market events

42. Cost-Aware Architectures • Decouple Compute and Storage and grow them independently Storage • Build workflows that are aligned with your business model by creating cost-aware architectures that only scale to serve your customer to the accepted SLA Compute

43. Amazon S3 Raw Video Amazon S3 Transcoded Video Amazon SQS Amazon SQS Free User Premium User EC2 instance EC2 instance EC2 instance EC2 instance Auto Scaling group Users

44. How about Security & Compliance?

45. OR Move Fast Stay Secure

46. AND Move Fast Stay Secure

47. Gain access to constantly improving security baselines Build on a constantly improving security baseline, every customer benefits from the tough scrutiny of other AWS customers! ISO 27001 ISO 27017 ISO 27018

48. Example: Data Sanitization at AWS

49. • AWS makes no secondary use of customer content • Manage your privacy objectives any way you want • Keep data in your chosen format and move it, or delete it any time • There is no automatic replication of data outside of your chosen AWS Region • Customers can encrypt their content any way they choose You always have full ownership and control

50. Achieve and Verify Compliance Log & store all activity Audit Create inventory React on change Verify compliance Analyze App Security Pick from Service Catalog AWS CloudTrail AWS Config Amazon Inspector AWS Service Catalog AWS Config Rules Security and compliance becomes visible and automated!

51. Many Worry Cloud Adoption is Binary Build a “Private” Cloud Rip everything out and move to the cloud 0 1

52. The Good News is it isn’t an ‘All or Nothing’ Choice Corporate Data Centers On-Premises Resources Cloud Resources Integration

53. Trend: Virtual Private Cloud Your Data Center Virtual Private Cloud (VPC)

54. Extending your DC to your Cloud Provider Your Data Center AWS VPC

55. Beyond Virtual Servers • AWS Managed Services are designed to be highly- available, resilient, secure, elastic and cost-effective • Maintenance becomes the responsibility of AWS • But more importantly: Charged by consumption! Amazon Machine Learning Amazon S3 Amazon DynamoDB AWS Mobile Hub Amazon QuickSight Amazon Workspaces AWS Elastic Beanstalk Amazon CloudFront Machine Learning Storage CDN Database Mobile Analytics VDI App Container

56. Let us handle Software Licensing • AWS Marketplace offers production- ready cluster deployments for various software solutions • Launch applications with 1-Click • Pay software licenses completely on-demand or bring your own license (BYOL)

57. Q&A

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