Enterprise Cloud Computing

Transcription

1 Enterprise Cloud Computing Leon Chen, 陳逸嘉 Sr. Sales Consultant Oracle 2009 Oracle 1

2 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle s products remain at the sole discretion of Oracle Oracle 2

3 Agenda Cloud Computing What and Why Market Status Oracle Cloud Strategy Summary 2009 Oracle 3

4 Cloud Computing What and Why 2009 Oracle 4

5 Everyone Is Talking About Cloud 2009 Oracle 5

6 Cloud Is at the Peak of the Hype Curve Source: Gartner "Hype Cycle for Cloud Computing, 2009" Research Note G Oracle 6

7 NIST Definition of Cloud Computing Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction Oracle 7

8 ON Demand 2009 Oracle 8

9 Resource Pooling 2009 Oracle 9

10 Rapid Elasticity 2009 Oracle 10

11 Measured Service 2009 Oracle 11

12 Broad Network Access 2009 Oracle 12

13 Component View of Cloud Architecture SaaS Application PaaS IaaS Middleware Database OS Virtualization Management H/W 2009 Oracle 13

14 Public Clouds and Private Clouds Public Clouds Private Cloud Used by multiple tenants on a shared basis Hosted and managed by cloud service provider Limited variety of offerings SaaS PaaS IaaS Public Clouds: Lower upfront costs Economies of scale Simpler to manage OpEx I N T E R N E T Both offer: High efficiency High availability Elastic capacity I N T R A N E T Users SaaS PaaS IaaS Exclusively used by a single organization Controlled and managed by in-house IT Large number of applications Private Cloud: Lower total costs Greater control over security, compliance & quality of service Easier integration CapEx & OpEx 2009 Oracle 14

15 Evolving From Silos to Enterprise Cloud From Physical to Virtual Physical, dedicated silos Sized for peak load Difficult to scale Expensive to manage Virtualized, shared resources Improved utilization Scale as needed Efficient to manage 2009 Oracle 15

16 Sharing and Consolidation with Enterprise Cloud Workload Application A Application B Application C Application D Application E Avg Utilization <20% Take advantage of complementary workload peaks Server A Server B Server C Server D Server E Virtualization and clustering enable consolidation Oracle Shared Instance Higher utilization rates and efficiency Lower CapEx & OpEx Applications A, B, C, D, E Net Workload Avg Utilization 70% Green footprint Freed capacity to deploy elsewhere Server A Server B Server C Server D Server E 2009 Oracle 16

17 Elastic Scalability with Enterprise Cloud Applications A, B, C, D, E Net Workload Oracle Shared Instance If utilization too high, increase capacity Pay-as-you-go scale-out - Lower upfront CapEx and ongoing OpEx - Green footprint Server A Server B Server C Server D Scale-out on-demand World-class clustering at all levels: database, middleware, storage Add/Remove nodes on-demand Scale out as workload increases Rightsized capacity planning - Smaller, standard machines running at higher utilization Defer equipment procurement - Exploit advances in hardware price-performance and energy efficiency 2009 Oracle 17

18 Quality of Service with Enterprise Cloud Applications A, B, C, D, E Net Workload Oracle Shared Instance Systematic high Quality of Service Reliability through redundancy Server A Server B Server C Server D Server E High performance and availability Load balancing Disaster recovery Failover Rolling upgrades Active-Active operation Predictable performance at any scale High availability every application gets HA 2009 Oracle 18

19 Current Status 2009 Oracle 19

20 GO? 2009 Oracle 20

21 44% of Large Enterprises Are Interested In Building An Internal Cloud 44% Source: Cloud Computing, Compute-As-A-Service: Interest And Adoption By Company Size, Forrester Research, Inc., February 27, Oracle 21

22 Awareness/Adoption of Cloud is Growing Implementing 48% 30% Planning 32% 30% 25% 20% 18% 17% 15% 19% 15% 10% 5% 0% Yrs 1-3 <1 <1 1-3 No plan Source: Oracle Private Cloud Computing for Executives Survey, Oracle 22

23 Why Are Enterprises Interested in Cloud? Benefits of Cloud Computing Speed Cost Source: IDC exchange, "IT Cloud Services User Survey, pt. 2: Top Benefits & Challenges," ( October 2, Oracle 23

24 Public or Private 2009 Oracle 24

25 What Are the Challenges Enterprises Face? Challenges of Cloud Computing Security QoS Fit Source: IDC exchange, "IT Cloud Services User Survey, pt. 2: Top Benefits & Challenges," ( October 2, Oracle 25

26 Your Peers PoV: Private or Public 40% 35% 30% 37% 33% 28% 25% 20% 15% 10% 5% 2% 0% 0% 0% Private On-Premise by Central IT Hybrid Public Private On-Premise by LOB IT Private Off-Premise Other Source: Oracle Private Cloud Computing for Executives Survey, Oracle 26

27 Your Peers PoV: Reasons to Select Private over Public Source: Oracle Private Cloud Computing for Executives Survey, Oracle 27

28 IaaS, PaaS or SaaS 2009 Oracle 28

29 Situation at a F50 Financial Services Firm PaaS: Scope for Bigger Impact Impact of Virtualization (IaaS) Economics: Part 1 Impact of Platform-as-a-Service (PaaS) Economics: Part Oracle 29

30 Situation at a F50 Financial Services Firm IaaS: Impact on Hardware/Energy/Space (CAPEX) Impact on physical server growth Impact on Load vs Server Utilization Impact on power consumption 6,000 3,000 2,500 Servers 4,000 2,000 Power Consumption (kw) 2,000 1,500 1, Year Physical Servers Virtual Servers 2,800 of 5000 servers deployed globally suitable for virtualization Expected consolidation ratio for virtual hosts is 1:15 (physical/virtual) at 80% adoption by 2013 Virtualization prevents 44% increase of power consumption in four years, while doubling the capacity 5X improvement in server utilization over 4 years - Year Total servers w/o Platform Total servers with Platform 2009 Oracle 30

31 Situation at a F50 Financial Services Firm PaaS: Impact on Design-Build-Run Costs (OPEX) 30% Reduction in Design-Build Costs 35% Reduction in Running Costs 30% 70% 100% BFD IID custom 10% 80% BFD IID on PaaS 63% 6% 69% 60% 30% 10% 100% AL IL 1&2 custom 8% 66% 100% AL IL on PaaS 55% 10% 65% Savings on One time Costs Business Functionality Development (BFD) Infrastructure Integration & Deployment (IID) Savings on Recurring Costs Maintenance Costs at Application Level (AL) Maintenance Costs at Infrastructure Level (IL) 1 st and 2 nd Level Support (1&2) 2009 Oracle 31

32 Oracle Cloud Strategy 2009 Oracle 32

33 Oracle Cloud Computing Strategy Our objectives: Ensure that cloud computing is fully enterprise grade Support both public and private cloud computing give customers choice Offer Applications deployed in private shared services environment or via public SaaS Offer Technology to build private clouds or run in public clouds Public Clouds SaaS PaaS IaaS I N T E R N E T I N T R A N E T Private Cloud SaaS PaaS IaaS Users 2009 Oracle 33

34 Oracle Platform for Cloud Application 1 Application 2 Application 3 Platform-as-a-Service (PaaS) Cloud Management Shared Services Oracle Enterprise Manager Integration: SOA Suite Process Mgmt: BPM Suite Security: Identity Mgmt Usr Interaction: WebCenter Appliance Builder Application Grid (WebLogic Suite & Tuxedo) Database Grid (Oracle Database & RAC) Self Service Provisioning Dynamic Scaling & Metering Infrastructure-as-a-Service (IaaS) Operating Systems: Oracle Enterprise Linux Virtualization: Oracle VM Servers Visibility, Diagnostics & Dynamic Workload Testing, Patch & Federation Mgmt. Storage 2009 Oracle 34

35 Private PaaS Lifecycle 3. Use App 2. Build App Assemble app using shared components Deploy through self-service 1. Set Up Cloud App Users App Developer App Shared Components 4. Scale up/down Adjust capacity based on policies Monitor via selfservice Self-Service Interface App Owner 5. Chargeback Meter usage and charge back to app owners or departments IT Set up PaaS Set up shared components Set up selfservice portal Oracle Fusion Middleware Oracle Database Oracle Enterprise Linux Oracle VM Oracle Enterprise Manager 2009 Oracle 35

36 Private Cloud PaaS Architecture Built by each department Dept 1 App Dept 2 App Dept 3 App Shared Components Self-Service Interface Built by IT Provided by Central IT SOA BPM UI Application Server OS, Virtualization Identity Mgt Platform as a Service System Mgt Middleware DB Integration Legacy 2009 Oracle 36

37 Traditional JEE Architecture Solid Foundation for PaaS Implementation Sessions HTTP/JSP EJB JDBC WebLogic Server HTTP/JSP Sessions EJB JDBC RDBMS Load Balancer WebLogic Server HTTP/JSP Sessions EJB JDBC WebLogic Server Challenge: How to make truly elastic for PaaS? 2009 Oracle 37

38 PaaS on Application Grid Leveraging a Java Grid Approach for Elasticity Servlet EJB JDBC WebLogic Server Sessions and Cache Coherence Sessions and Cache Coherence RDBMS Load Balancer Servlet EJB JDBC WebLogic Server Sessions and Cache Coherence Sessions and Cache Coherence Engine Tier GridTier 2009 Oracle 38

39 WebLogic Server Clustering Core Mechanism to Enable Application Grid Dynamic Adjustment Online addition/removal of nodes Automatic rebalancing of cluster workload Automatic accommodation of node failure Enables both horizontal scaleout and high availability Can be engaged by external management Node Mgr Node Mgr Node 1 Node 2 Node 0 (Admin) Node Mgr Node 3 Node Mgr 2009 Oracle 39

40 Coherence In-Memory Data Grid Distributed, Shared, Dynamically Scalable Memory Memory spans multiple machines (nodes) Online addition/removal of nodes Automatically partition and exploit all memory Reliability through redundancy Performance through parallelization Scale linearly to thousands of nodes WebLogic Server Coherence Coherence 2009 Oracle 40

41 Database Grid and Storage Grid Elastic Scalability for Private PaaS Database and Storage In-Memory Database (IMDB) Cache - Cache grid enables online addition and removal of nodes - Automatically two-way synchronization with Oracle Database Real Application Clusters (RAC) - Online addition/removal of nodes - High availability, performance and scalability Automatic Storage Management (ASM) - Online addition and migration of storage - Online rebalancing whenever storage configuration changes - Stores all data (11gR2) IMDB Cache RAC ASM 2009 Oracle 41

42 Application Grid and Database Grid: Dynamic Capacity Adjustment Sense demand spike Dept App 1 App 1 Dept App 2 Sense demand spike Sense demand spike Shared Service Shared Shared Service Service Oracle Enterprise Manager WebLogic Server cluster nodes Coherence Data Grid nodes Oracle Database RAC nodes WebLogic Suite-based Application Grid Oracle Database Grid: RAC, ASM, IMDB Cache Adjust capacity 2009 Oracle 42

43 Oracle Cloud Management Capabilities Capacity & Consolidation Planner Out-of-the-Box Cloud Solutions Policy-based Workload Management Self-Service Application Cloud Setup Metering & Chargeback Assembly Packaging Foundation Capabilities Lifecycle Management Configuration and Compliance Application Performance Management Application Quality Management Dynamic Resource Management Compliance Dashboards Real User Monitoring Functional/Load Testing Patching Application Configuration Management SOA, Java, JVM Real Application Testing Provisioning Collection, Tracking, History Diagnostics, Tuning Data Masking Key: Existing Capability Planned Capability Major Enhancement 2009 Oracle 43

44 Self Service Application On Demand Deployment of Complete Application Coming Soon Allows users to deploy complete application stack Cuts down resource requisition and deployment window for important projects Enforces controls through retirement, quota and chargeback policies 2009 Oracle 44

45 Metering and Chargeback Coming Soon Track/meter resource consumption (available today) - CPU - Memory - Storage - Network Bandwidth - Service - Application - And more Chargeback business users based on administrator defined charge plan Multi-level chargeback rollup using LDAP Enterprise hierarchy Rich reporting - Current and historical IT Users 2009 Oracle 45

46 Oracle VM Templates Rapid Application Deployment for Clouds Siebel CRM File E-Delivery Download from Oracle Pre-built, pre-configured VM Complete app, middleware, DB installation Complete Siebel CRM, Database 11g, Enterprise Manager Enterprise Manager Import via Oracle VM Manager Start-Up in Oracle VM Pool Save days or weeks in installation and configuration time Siebel CRM VM 1 Siebel CRM VM 2 VM Oracle VM Server Pool Oracle VM Servers NAS, SAN, iscsi VM VM VM Customize & Save as Golden Images 2009 Oracle 46

47 Oracle Assembly Builder Package Multi-Tier Applications Coming Soon Oracle SOA Suite Oracle BPM Suite Oracle WebCenter Oracle Identity Mgt Oracle Application Grid Oracle Database Grid Introspection & Assembly Oracle VM Template Builder Assembly Builder OVF Packaging Deployment Oracle Enterprise Manager Virtualized Software Appliances Application A Application B Assembly A Assembly B Oracle VM Server 2009 Oracle 47

48 Most Complete Cloud Stack in the Industry Grid Computing in All Tiers Middleware Application Grid - WebLogic Server - Coherence In-Memory Data Grid - JRockit Real Time - Tuxedo Database Real Application Clusters In-Memory Database Cache Sun Oracle Database Machine Storage Automatic Storage Management Exadata Storage Server Infrastructure Oracle VM Oracle Enterprise Linux Management Oracle Enterprise Manager 2009 Oracle 48

49 How: Enterprise Evolution To Cloud Public Clouds Hybrid Public Cloud Evolution SaaS PaaS IaaS SaaS PaaS IaaS Private Cloud Evolution Virtual Private Cloud App1 App2 App3 App1 App2 App3 App1 App2 App3 App1 App2 App3 Private PaaS Private PaaS Private PaaS Private IaaS Private IaaS Private IaaS Silo d Physical Dedicated Static Heterogeneous Grid Virtual Shared services Dynamic Standardized appliances Private Cloud Self-service Policy-based resource mgmt Chargeback Capacity planning Hybrid Federation with public clouds Interoperability Cloud bursting 2009 Oracle 49

50 Case Study 2009 Oracle 50

51 IT Functions at Oracle DEVELOPMENT 80,000 Internal Users 4 Million External Users 7,000 Network Devices 10,000 TB Storage 10,000 Servers 2009 Oracle 51

52 Oracle IT: Oracle Development Self-Service Private Cloud Job Mgmt Virtualization Developer Submit Notifications Self-Service Application Priority Resource Mgmt Match Making Enterprise Manager Grid Control Metadata / Label Servers Hosts Results 2009 Oracle 52

53 Oracle IT: Oracle Development Self-Service Private Cloud Implementation Overview: - Scope/Scale - Over 2600 physical servers with over 6000 Virtual Servers used by over 3500 developers - Activations Processing over 70K hours per day, this translates into over 45,000 jobs processed supporting production and test requirements. - Utilization Rates on these servers averages 80% 7 days a week and can reach 90% during peak times. Results/Benefits: - Increase in development productivity - Self-Service system for creation of development environments - Cleaner code lines as environments are created quickly for more thorough testing/validation. - Physical Server/Environmental Reduction by 75% 2009 Oracle 53

54 Oracle IT: Oracle University Dynamic Provisioning with Grid Computing Education Services 2,300 environments automatically provisioned weekly 1/10 th the hardware CPU utilization increased from 7% to 73% Floor space reduced 50% Power consumption reduced 40% Servers: Administrator ratio increased 10X Revenue/Server increased 10X 2009 Oracle 54

55 Summary 2009 Oracle 55

56 Summary WHAT? Virtualization Cloud Computing Enterprise Private Cloud = PaaS + IaaS WHY? PaaS + IaaS Improves IT cost structure PaaS Delivers Maximum Efficiency HOW? It is Evolutionary NOT Revolutionary Cloud offers lot more than the commodity OS enabling feature Build, Integrate, Secure, Run & Manage Custom and COTS applications as a shared IT utility IaaS impact on 20-30% of Costs PaaS impact on 70-80% of Costs With Standardized, Pre-defined Choices, Extensible for unique requirements and innovations Stakeholder Management, Measurements & Incentives for Adoption are key Best, Complete, Integrated Solution Reduce IT Operating Costs, Improve Service Level and Pace of Innovation Oracle 2009 Oracle 56

57 You can learn PaaS Competency Center Pragmatic information for real-world solutions Best Practices Customer Case Studies Solution Blueprints Lower operational costs using PaaS techniques with Fusion Middleware Oracle 57

58 2009 Oracle 58

59 250+ Leading SaaS Providers Use Oracle PaaS 8 out of 10 SaaS vendors delivering business-critical applications run on Oracle. Nucleus Research 2009 Oracle 59

60 2009 Oracle 60

61 2009 Oracle Proprietary and Confidential 61

62 Other Cloud Computing Fields 2009 Oracle 62

63 Oracle Cloud Computing Strategy Oracle Applications On Demand Public Clouds Private Cloud Oracle Applications SaaS PaaS IaaS I N T E R N E T I N T R A N E T SaaS PaaS IaaS Oracle Technology in public clouds Users Oracle Private PaaS 2009 Oracle 63

64 Oracle in Public Clouds Oracle Database, Fusion Middleware & Enterprise Manager supported on EC2 Amazon Machine Images (AMIs) Oracle Database Secure Backup to S3 Self-service Public PaaS based on Oracle VM, Oracle Enterprise Linux, Oracle Database RAC and Oracle WebLogic Server 2009 Oracle 64

65 Oracle Applications Deployed on Shared Services Private PaaS Industry Applications Shared Components Private PaaS Oracle Fusion Middleware Oracle Database Oracle Enterprise Linux Oracle VM Oracle Enterprise Manager 2009 Oracle 65

66 Oracle On Demand Flexible Deployment Options Multi-Tenant SaaS Single-Tenant SaaS Hosted & Managed Remote Management On-Premise Public Private Pay-per-use OpEx Off-premise Licensed CapEx & OpEx On-premise Managed by vendor Managed by Customer Vendor scheduled maintenance Customer scheduled maintenance 2009 Oracle 66

67 Private PaaS: Maximum Value from Cloud Balancing flexibility with efficiency Operational Efficiency SaaS PaaS Total Value Obtained IaaS User Flexibility 2009 Oracle 69

68 Improved Java Performance and Efficiency in Virtual Environments VM with Standard Guest OS Workload JRockit JVM XOS Oracle VM VM with JRockit VE Workload JRockit VE JRockit JVM Oracle VM 500x smaller footprint Improved performance Simplified configuration Increased security Only on Oracle VM J R o c k i t V i r t u a l E d i t i o n Customized to run single Java process Requires only file system & network protocol rest provided by JVM No shell access allowed 2009 Oracle 70

69 Reduce Management Costs With WLS-VE Dept App Dept App WebLogic WebLogic JVM JVM OS OS Dept App Dept App Dept App Dept App WLS VE WLS VE WLS VE WLS VE WLS VE WebLogic Dept App Dept App OVM OVM OVM OVM JRockit VE WebLogic WebLogic JVM JVM OS OS Management Simplicity with Performance and increased Utilization 2009 Oracle 71