Cloud 101

Introduction to the cloud. A session conducted to the Computer Science students at the University of Sri Jayawardanapura

Transcript

1. Cloud 101 Rumesh Hapuarachchi 08/May/2018
3. What is Cloud? Storing and accessing Data and Programs over the Internet instead of your computer’s hard drive.
4. Cloud Benefits •Cost Effectiveness (Pay As You Go) •Accessibility •Dynamic Scaling •Disaster Recovery •Measured Services
6. Cloud Misconceptions
7. Myth 1 Cloud providers can spy on my activities and data. Why? Cloud providers have built in security mechanisms(i.e. Multi tenancy) and data compliance standards (i.e. GDPR) to ensure your privacy.
8. Myth 2 When a web based system is hosted in the cloud the web based system becomes a cloud system. Why? When a web based system does not consist of delivery models such as SaaS or PaaS it is not a cloud based system.
9. Myth 3 Moving to the cloud completely cuts down the operational cost. Why? As the application grows and scales out and as the workload increase the operational cost can go up.
10. Myth 4 Cloud systems are unreliable and if the service fails the data can be lost. Why? Cloud providers provide reliable storage mechanisms and backup feature to keep the data secure.
11. Myth 5 The cloud is too complex for the developers. Why? Cloud providers provide user friendly features to develop, deploy and monitor the system hosted in the cloud. There’s always a big community to support you.
13. Service models
14. Service models
15. Service models
17. Question •Office 365 •Google Docs •AWS EC2 •Google Compute Engine •Amazon RDS
22. Common Services
23. Storage
25. Simple Storage Service •Storage for the internet. Natively online. •Store and retrieve any amount of data, any time, anywhere •Highly scalable, reliable, fast and durable (99.999999999%)
26. Elastic Block Store •Persistent block level storage •Used with VM •Instance independent storage •Snapshots •General Purpose (SSD) •Provisioned IOPS (SSD)
27. Compute
29. Elastic Compute Cloud • Resizable compute capacity • Complete control of resources • Pay as you go • Scale according to your needs • Different Classes for different purposes
30. Auto Scaling • Scale EC2 capacity automatically • Well suited for applications with variable usage • No additional cost
31. Elastic Load Balancing • Classic, Application • Support different protocols including HTTP, HTTPS and TCP traffic • ELB health checks • Integrate with Auto-scaling • No IP, single CNAME
32. Databases
34. DynamoDB • Fully managed NoSQL database • Store any amount of data • Fast, predictable performance • WCU, RCU • MapReduce integration • Auto Scaling
35. Relational Database Service • Cost efficient and resizable capacity • MySql, MS-SQL, Oracle, PostgreSQL • Aurora • Multi AZ • Managed software updates and backups
36. ElastiCache • Memcached complient • Managed pathing, node failure detection and recovery • Simple API calls to grow and shrink Cluster • Seamlessly caches in front of RDS and DynamoDB • Integrate with CloudWatch, SNS
37. Networking and Content Distribution
38. VPC • Private network • Isolate by default • Private/ Public • NAT
39. Route 53 • Route end users to internet applications • Answer DNS queries with low latency by using global network of DNS servers
40. CloudFront • Web Service for content delivery • Cache static content • Act as a Proxy • Distribute content to end users with low latency, high speed.
41. Application Services
42. •Simple Workflow Service •CloudSearch •Simple Notification Service •Simple Queue Service •Simple Email Service
44. Deployment Management
46. Elastic Beanstalk • Automatically handles the deployment details of capacity provisioning, load balancing, auto scaling and health monitoring • Retain Full control over AWS resources
47. CloudFormation • Infrastructure as Code • Template of stacks • Deploy with runtime parameters • Generate templates from running environments
48. CloudWatch • Monitor utilization and overall demand patterns • CPU utilization • Disk reads and writes • Network Traffic • Custom metrics
49. IAM • Users and Groups • Credential Management • Integration between directory services
50. Reference Architectures https://aws.amazon.com/architecture/
56. Serverless?
57. •Thomson Reuters processes 4000 request per second •FINRA processes half a trillion validations of stock trades daily •Hearst reduced the time to ingest and process data for its analytics pipeline by 97% •Vevo can handle spikes of 80x normal traffic •Expedia triggers 1.2 billion Lambda requests each month •Alternative Australian Bureau of Statistics Census website.
58. Scenario: 1600 request/day @200ms avg = 3,200,000 ms/day 2x c3.large 1yr up-front reserved No multi AZ No burst handling 1024 mb memory Handles HA & bursts $0.0000016/100m s $2.97/day $0.05/day Pricing example credits: AWS re:Invent 2015 | (DVO209) JAWS: The Monstrously Scalable Serverless
59. Amazo n S3 Amazon DynamoDB Amazon RDS Amazon API Gateway Amazon SQS Amazon SNS Amazo n Kinesis AWS Step Functions AWS X-Ray AWS Lambda Toolbox
64. rehrumesh rumeshh@99x.lk