Cloud Computing and SOA Convergence / Senior Vice President / September, 2013
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1 Cloud Computing and SOA Convergence / Senior Vice President / September,
2 Cloud Computing and Sons of Anarchy (SOA) Convergence 2
3 3
4 The Book 4
5 So, what is cloud computing? Architecture? Technology? Use cases? What will it be soon? 5
6 From Hype to Growth 6
7 Data is the Killer App for Cloud 7
8 Touchpoints of a Conversation Around Big Data 8
9 Delivery Models Morphing Software as a Service (SaaS) Applications as a Service Utilities as a Service Connected and Disconnected Platform as a Service (PaaS) Design as a Service Process as a Service Testing as a Service Infrastructure as a Service (IaaS) Database as a Service Management as a Service Middleware as a Service Integration as a Service Information as a Service And more. 9
10 New Stack Emerging Testing-as-a-Service Management/Governance-as-a-Service Security-as-a-Service Integration-as-a-Service Application-as-a-Service Process-as-a-Service Information-as-a-Service Database-as-a-Service Storage-as-a-Service Infrastructure-as-a-Service Platform-as-a-Service 10
11 What Works in the Cloud The ability to expand storage quickly, and at a lower cost. DevOps, around the use of PaaS. Large and highly expandable data systems. SaaS-delivered enterprise applications. New or small business support. High performance computing on-demand. Office automation applications. 11
12 What Does Not Work in the Cloud Most legacy system migrations. Systems that require a high degree of security. Systems that are subject to a lot of regulatory control. Systems that need to be tightly integrated with local systems and data. Enterprises that have made a significant investment in hardware and software. Enterprises with substandard network infrastructure. 12
13 Cloud Computing is Becoming Systemic 13
14 Evolution of Cloud Computing Buzzword cloud computing is absorbed into computing. Focus on fit and function, and not the hype. Security moves to centralized trust models. Centralized data becomes a key strategic advantage. Mobile devices become more powerful, but thin. The rise of the composite cloud. 14
15 The Operational Benefits Are Obvious 15
16 Business Agility is the Objective 16
17 Most Cloud-Based Systems Are Lacking Architecture 17
18 18
19 The Results Inefficient utilization of resources. Resource saturation. Lack of elasticity and scalability. Lack of security and governance. Frequent outages. Bad or no tenant management. Other very bad things. 19
20 Common Mistakes Not understanding how to make architectures scale. Not dealing with tenant management issues. Not understanding that security is systemic, and impacts performance. Not understanding the proper use of services (Yes, that means SOA). Tossing technology at the problem. Listening to the wrong people. 20
21 Can SOA Help? 21
22 Types of Cloud Architecture Patterns Emerging Migration to a Cloud Business Systems Infrastructure Building on a Cloud (PaaS) Building a Hybrid Cloud Building a Cloud IaaS SaaS PaaS Complexity 22
23 Types of Cloud Architecture Patterns Emerging Migration to a Cloud Business Systems Infrastructure Building on a Cloud (PaaS) Building a Hybrid Cloud Building a Cloud IaaS SaaS PaaS We ll focus here Complexity 23
24 General Architecture Patterns to Follow 24
25 Architecture Roadmap General Guidance Build a solid foundation: Determine business drivers Understand: data, services, business processes and system integration points Design a cloud-friendly enterprise architecture roadmap that leverages Services Oriented Architecture (SOA) Determine an integration strategy for internal and external systems Outline a migration path for legacy systems to the new architecture 25
26 as-is 26
27 to be 27
28 Deploy 28
29 General Rules & Guidelines Focus on the primitives. The best clouds are sets of low level services that can be configured. Data services Transaction services Utility services Leverage distributed components that are centrally controlled. Build for tenants, not users. Don t lean too much on virtualization. Security and governance are systemic. 29
30 Use Case: General Business System Migration to the Cloud 30
31 The General Idea Break the system down to it s component parts, understanding each part. Rethink the database, it s typically a mess. Rethink the system as sets of services/api, watch the granularity. Data services, transaction services, utility services Create a security and governance plan. Consider the user interfaces. Consider device interfaces. Migrate only the components to the cloud that will provide the best value. 31
32 Good News / Bad News Good News: Most cloud platforms provide the tenant management features for you. Most cloud platforms manage the resources for you. The cloud platforms are getting better. Bad News: Security is still your problem. Application and service design is still your problem. Testing can be a hassle. Watch out for immaturity if standards. 32
33 Reference Architecture Monitoring and Management Security & Identity Management & Service Governance Process Management (BPMS) Rules Management Transactional Services Data Services/Abstraction Composites/Portals Data 33
34 Create the Information Model Ontologies Legacy Metadata Understand Ontologies External Metadata (B2B) Understand the Data Data Dictionary & Metadata Data Catalog Catalog the Data Information Model Build Information Model 34
35 Data Services/Abstraction Data 35
36 Create a Service Model Data Catalog Understand Services Candidate Services Information Model Information to Services Services And Information Build Service Model Service Model 36
37 Transactional Services Data Services/Abstraction Data 37
38 Source: Microsoft 38
39 Source: Microsoft 39
40 Create a Process Model Data Catalog Understand Processes Candidate Processes Information Model Services to Processes Services to Processes Service Model Build Process Model Process Model 40
41 Monitoring and Management Process Management (BPMS) Rules Management Composites/Portals Transactional Services Data Services/Abstraction Data 41
42 Source: Activevos 42
43 Create a Governance Model Process Model Define Policies Defined Policies Information Model Design Policies Policy Designs Service Model Implement Policies Governance Model 43
44 Monitoring and Management Security & Identity Management & Service Governance Process Management (BPMS) Rules Management Transactional Services Data Services/Abstraction Composites/Portals Data 44
45 45
46 Select Platforms and Deploy Processes, Services, and Data to Platforms. Process Assignments List Candidate Platforms Candidate Platforms Service Assignments Analyze and Test Candidate Platforms Test Results Data Assignments Select Target Platforms Target Platforms Deploy to Target Platforms 46
47 Thanks! 47
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