Introduction to Cloud Computing DLT Solutions LL DL C T Solutions LL May 2011

Transcription

1 Introduction to Cloud Computing DLT Solutions LLC May 2011

2 Contact Information DLT Cloud Advisory Group CLOUD01 ( ) dl #DLTCloud

3 Your Hosts Van Ristau Chief Technology Officer, DLT Solutions David Blankenhorn Chief Cloud Technologist, DLT Solutions Leads DLT s Cloud Advisory Group 3

4 Introduction Cloud Webcast Series Five weekly webcasts (Thursdays May 12 June 9) Webcast #1 May 12 Introduction to Cloud Computing Webcast #2 May 19 Software as a Service (SaaS) Webcast #3 May 26 Infrastructure as a Service (IaaS) Webcast #4 June 2 Platform as a Service (PaaS) Webcast #5 June 9 Securing the Cloud Series Objectives Provide the audience with A baseline understanding of Cloud Computing service models. Suggested decision criteria for selecting appropriate Cloud services. An overview of vendor Cloud services available Vendor-neutral discussion with Brand vendor examples. 4

5 Agenda - Introduction to Cloud Computing Enterprise IT evolution: 1960 to 2000 Enterprise IT revolution: today Cloud computing drivers Virtualization: a Cloud enabling technology What we should look for in a Cloud offering Use Cases very high level Vendor choices A rapidly expanding market Cloud computing challenges Before you relocate: Cloud cautions 5

6 Evolution 1960s Mainframes Personal Computers Client Server Model Data Centers

7 In the Beginning The Sanctum Santorum 7

8 The Personal Computer IBM PC $$$ Freedom!! Commodore 64 $ 8

9 And then there was Client-Server Model Which in extreme cases evolved into 9

10 10

11 And sometimes to Best Practices Data Centers 11

12 And capital intensive, power hungry, water cooled, bit factories. Tier IV Data Centers 12

13 Revolution 2000 to Present Day Pervasive Broadband Stable, Scalable Virtualization

14 Cloud Computing Drivers Complex, labor intensive data centers Lack of standardization. Unnecessarily high training/maintenance costs. Increasing energy costs. Periodic hardware and software capital costs. Low server and storage utilization. Proliferation of geographically dispersed, small, department-level data centers. IT Project Disappointments 24% fail or are never utilized 44% are late, over budget, or have limited utility. 14

15 Stable, Scalable Virtualization Source: Intel Virtual Machine Monitor = Virtual Machine Manager = Hypervisor 15

16 Virtualization in a Nutshell Virtualization is an evolution of abstraction separation of functions or services from their hardware dependencies. The line of business manager does not care what the app runs on or where the data is stored. He/she cares only about availability, reliability, and performance. Driver: lower total cost of ownership, a CIO concern Maximize utilization of hardware assets One App per Server rule-of-thumb no longer efficient Newer multi-core, high MIPS processors underutilized in single app servers Smaller data center footprint : Fewer machines = lower capital investment: t machines and SF Lower power & hardware maintenance : Fewer machines = less power, less HW maintenance 16

17 The Virtualization Paradox In a services based infrastructure, which is what a dynamic infrastructure strategy is trying to achieve, the platform is less important than the services that are provided. It is not virtualization that makes a network fluid instead of brittle, it is the services and the way in which they adapt to the environment to ensure availability, security, and a highperforming delivery system. Virtualization is a means to an end, it is not the end itself. It is not addressing the operational needs of a highly fluid and volatile environment. Virtualization is not making it any easier to manage the actual components or behavior of the network, it s just making it easier to deploy them. 17 Source: Infrastructure 2.0

18 Cloud Models and Characteristics Deployment Models Private Cloud Hybrid Clouds Community Cloud Public Cloud Service Models Essential Characteristics Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS) On Demand Self Service Broad Network Access Rapid Elasticity Resource Pooling Measured Service MassiveScale Resilient Computing Common Homogeneity Geographic Distribution Characteristics Virtualization Service Orientation Source: NIST Low Cost Software 18 Advanced Security

19 Cloud Service Models Typical Use Cases Source: GSA 19

20 Deployment Models Typical Use Cases Source: GSA 20

21 Notional Cloud Software Stack Source: Intel 21

22 Vendor Choices 22

23 Cloud Computing Challenges Security Interaction with legacy systems not yet migrated Data Privacy Data Loss Unplanned Outages Browser interface limitations Including Network latency Resistance to change IT staff End users 23

24 The Future - Multi-Cloud Environments Source: Red Hat 24

25 Before You Relocate Determine whether or not you can live with the vendor s standard Service Level Agreements. Consider migration costs for your legacy applications. Plan for integration with remaining legacy applications, where required. Evaluate vendor security and implement supplemental security where required. Ensure capacity is sufficient but do not over-provision. Evaluate bandwidth costs for remote access. Consider how you will monitor cloud application performance. Plan for the organizational impact. 25

26 Contact Information DLT Cloud Advisory Group CLOUD01 ( ) #DLTCloud 26