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Intro to Cloud Computing 1. Who am I? Sergejus Barinovas Software Architect at Adform Blog:

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Presentation on theme: "Intro to Cloud Computing 1. Who am I? Sergejus Barinovas Software Architect at Adform Blog:"— Presentation transcript:

1 Intro to Cloud Computing 1

2 Who am I? Sergejus Barinovas Software Architect at Adform Email: sergejus.barinovas@[adform|gmail].com Blog: http://sergejus.blogas.lt Twitter: @sergejusb 2

3 Disclaimer We do use Cloud Computing internally and we want to share our experience with you! 3

4 4

5 “The global cloud computing market to reach $241B in 2020 compared to $40.7B in 2010” Forrester Research 5

6 Gartner top 10 strategic technologies for 2012: Media Tablets and Beyond, Mobile-Centric Applications and Interfaces, Contextual and Social User Experience, Internet of Things, App Stores and Marketplaces, Next-Generation Analytics, Big Data, In-Memory Computing, Extreme Low-Energy Servers, Cloud Computing 6

7 7 “Cloud computing is the provision of dynamically scalable and often virtualized resources as a service over the Internet on a utility basis”

8 Cloud is scalable, elastic ( dynamic resources ), available as-a-service, based on utility billing ( pay for what you use ) 8

9 So, basically Cloud is … … elastic scalable compute resources on demand 9

10 But more important … … Cloud is not a technology, it is a way of THINKING 10

11 Cloud as a way of thinking Existing technologies adopted in a new way ex. virtualization Utility model is welcomed by everyone startups and enterprises DevOps are everywhere developers spin 100’s of servers in minutes IT operations write automation scripts 11

12 Cloud types Public publicly available Private built for / available inside enterprise only Hybrid on-premise with extension to public Cloud 12

13 Cloud offerings Infrastructure-as-a-Service or IaaS host applications Platform-as-a-Service or PaaS build applications Software-as-a-Service or SaaS consume applications 13

14 Infrastructure-as-a-Service Virtual machines and infrastructure on demand OS, CPU / RAM, storage, load balancer, VPN Web portal for controlling and managing servers Remote desktop / shell 14

15 IaaS players Amazon Microsoft RackSpace Google Terremark others 15

16 Platform-as-a-Service Working not with the virtual machines per se, but with the abstraction Rich set of APIs and client libraries / frameworks Automatic high-availability and load balancing Hardware and / or OS agnostic 16

17 PaaS players Microsoft Google Amazon SalesForce others 17

18 Software-as-a-Service Available for more than 10 years Hotmail, Yahoo! Mail Usually implemented as a Web application with optional on-premises extensions You don’t need to use Cloud to run SaaS 18

19 IT-as-a-Service 19

20 Sounds cool? In real-world this not always a case… 20

21 Infrastructure-as-a-Service No or limited options to choose hardware from HDD speed, network throughput Variant performance due to resource sharing Limited options to configure TCP ports Limited options for load balancing 21

22 Platform-as-a-Service No or limited options to choose hardware from HDD speed, network throughput No or very limited access to the OS internals Very restrictive firewalls / load balancers Dynamic IP addresses 22

23 Want to migrate to the Cloud? First change you DC oriented mindset… 23

24 Changes in mindset #1 Before: we have enough hardware resources powerful servers, fast hard drives, 10 Gb network After: only mid-range hardware is available no topnotch servers, little chance to get SSD 24

25 Changes in mindset #2 Before: number of servers is more or less fixed failures are very unlike, all maintenance and new hardware is planned in advance After: number of servers is dynamic (unknown) failures are OK, no hardware maintenance implies scale-out resilient architecture 25

26 Changes in mindset #3 Before: We have reliable network connection connection time-out is a BUG, not a FEATURE After: Network connection can always FAIL every operation should have retries 26

27 So, is Cloud cheaper? NO, unless you’ve applied one of the Cloud usage patterns 27

28 On and off On and off workloads (e.g. batch job) Over provisioned capacity is wasted 28 Usage Compute Time Average Inactivity Period

29 Growing fast Successful services needs to grow/scale Keeping up with growth is big IT challenge 29 Average Usage Compute Time

30 Unpredictable bursting Unexpected/unplanned peak in demand Sudden spike impacts performance 30 Compute Time Average Usage

31 Predictable bursting Peaks due to periodic increased demand IT complexity and wasted capacity 31 Compute Time Average Usage

32 To the Cloud! 32

33 AWS / Azure feature comparison 33 FeatureAmazonWindows Azure ComputeElastic Compute Cloud (EC2)Compute Load balancingElastic Load Balancing (ELB)Compute Auto scalingAuto Scalingn/a Attachable disksElastic Block Store (EBS)Drive Blob storageSimple Storage Service (S3)Blob Storage Scheme-less storageSimpleDBTable Storage Content deliveryCloudFrontCDN Distributed cacheElastiCacheCaching DatabaseRelational DB Service (RDS)SQL Azure Reportingn/aSQL Azure Reporting

34 AWS / Azure feature comparison 34 FeatureAmazonWindows Azure QueueSimple Queue Service (SQS)Queue Storage EmailSimple Email Service (SES)n/a VPNVirtual Private Cloud (VPC)VPN, Connect DNSRoute 53Traffic Manager (Geo) Service busn/aService Bus IdentityIdentity & Access Management (IAM) Access Control Big DataElastic MapReduce MonitoringCloudWatchn/a

35 That’s a lot! 35

36 Cloud @ Adform Amazon EC2 used for test campaigns, stress testing and research Amazon S3 storage used for raw data 300+ GB of uncompressed raw transactions daily 36

37 Cloud @ Adform Amazon S3 storage used for RTB logs 1+ TB of uncompressed logs daily Amazon Elastic MapReduce used by RTB Research team 2+ TB of data on 30+ EC2 instances daily 37

38 Cloud Computing is elastic scalable compute resources on demand offered as public or private IaaS, PaaS or SaaS requires to change mindset and adapt patterns available from Amazon, Microsoft, Google, etc. 38

39 Don’t forget: Cloud is not for everyone, but it makes impossible possible! 39

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