Preface

15

Objective of This Book

15

Target Audience

16

Structure of This Book

16

Acknowledgments

19

1 Cloud Providers and Business Requirements

23

1.1 What Are Cloud Providers?

23

1.1.1 Beyond Data Centers

24

1.1.2 Economies of Scale

26

1.1.3 Automation

26

1.2 Translating Business Use Cases into Cloud Solutions

27

1.2.1 Reliability

28

1.2.2 Performance

31

1.2.3 Automation Capabilities

33

1.2.4 Compliance and Security

36

1.2.5 Cost

38

1.2.6 Innovation

41

1.2.7 Integration

43

1.2.8 Sustainability

44

1.2.9 Migration

45

1.3 Summary

47

2 AWS Service Offerings for SAP

49

2.1 Deployment Models

49

2.1.1 Infrastructure as a Service

50

2.1.2 Software as a Service

51

2.1.3 Platform as a Service

51

2.1.4 RISE with SAP and SAP Business Technology Platform

52

2.2 Connecting On-Premise Infrastructures to AWS

55

2.2.1 AWS Direct Connect

55

2.2.2 Virtual Private Networks

56

2.2.3 AWS Transit Gateway

57

2.3 AWS Services for SAP

57

2.3.1 Overview

58

2.3.2 AWS Global Infrastructure

60

2.3.3 Designing Regions and Availability Zones

61

2.3.4 Compute

62

2.3.5 Storage

70

2.3.6 Networking

78

2.3.7 Databases

83

2.3.8 Key Management Services

84

2.3.9 Identity, Security, and Compliance

85

2.3.10 Management, Governance, and Operations

92

2.4 Summary

101

3 Framework for Designing Solutions on AWS

103

3.1 AWS Well-Architected Framework

103

3.1.1 General Design Principles

104

3.1.2 Reliability

106

3.1.3 Security

108

3.1.4 Performance Efficiency

109

3.1.5 Operational Excellence

110

3.1.6 Cost Optimization

112

3.1.7 Sustainability

113

3.2 SAP Lens

115

3.3 Cloud Service Level Agreement

118

3.3.1 Understanding AWS Service Level Agreements

119

3.3.2 Workload Service Level Agreements

122

3.3.3 Business Uptime and Infrastructure Service Level Agreements

123

3.3.4 Summary

124

4 AWS Landing Zones

127

4.1 AWS Landing Zone Architecture

128

4.2 AWS Organizations

134

4.2.1 Capabilities and Benefits

134

4.2.2 Key Concepts

136

4.2.3 Implementation

141

4.3 AWS Control Tower

143

4.4 AWS Service Catalog

151

4.5 Resilient Architecture Patterns

154

4.5.1 High Availability

155

4.5.2 Disaster Recovery

161

4.5.3 Single Region

163

4.5.4 Multi-Region

166

4.6 Summary

173

5 Reference Architecture

175

5.1 Support for SAP and Related Products

176

5.2 SAP Architecture

181

5.2.1 Three-Tier Architecture

182

5.2.2 Distributed versus Standard Deployment

182

5.2.3 SAP Application and Technology Stacks

185

5.3 Application- and Database-Specific Architecture

186

5.3.1 SAP Application Server Architecture

187

5.3.2 Common Architectural Patterns for High Availability and Disaster Recovery for Databases

199

5.3.3 SAP HANA

205

5.3.4 RISE with SAP Architecture

218

5.3.5 Microsoft SQL Server

222

5.3.6 Oracle

227

5.3.7 SAP ASE Service

234

5.3.8 SAP MaxDB

239

5.3.9 IBM Db2

244

5.4 Trade-Offs

248

5.4.1 Cost Based

248

5.4.2 Availability Based

250

5.4.3 Performance Based

252

5.5 Summary

254

6 Migrations

255

6.1 Migration Frameworks

256

6.1.1 6 Rs Strategy

256

6.1.2 Cloud Adoption Framework: People, Processes, Technologies

258

6.2 AWS Migration Methodology

263

6.3 Current State Discovery

266

6.3.1 Application Discovery and Sizing

266

6.3.2 Application Dependencies and Priorities

273

6.4 Migration Tools and Services

284

6.4.1 SAP Tools

284

6.4.2 AWS Tools and Services

292

6.4.3 Partner Tools and Services

301

6.5 SAP Migration Approaches

303

6.5.1 Rehost (Homogenous Migrations)

303

6.5.2 Replatform (Heterogenous Migrations)

305

6.5.3 Refactor (New Implementation)

308

6.5.4 Migrating Large Databases

309

6.5.5 Migrations with RISE with SAP

314

6.6 Project and Portfolio Management

315

6.6.1 Cloud Centers of Expertise

316

6.6.2 Cloud Financial Management

317

6.7 Summary

319

7 Operations

321

7.1 Operating SAP in the Cloud

321

7.1.1 AWS Support Model for SAP Workloads

323

7.1.2 SAProuter Deployment Options on AWS

325

7.1.3 AWS Data Provider for SAP

330

7.2 Common Operational Aspects

331

7.2.1 Tagging and Resource Groups

333

7.2.2 AWS Systems Manager-Managed Nodes

337

7.2.3 Observability

339

7.2.4 Security and Compliance

357

7.2.5 Systems Administration

370

7.2.6 Systems Change Governance

378

7.2.7 Respond and Recover

381

7.3 Cost Optimization

386

7.3.1 Cost Visualization

387

7.3.2 Continuous Optimization Opportunities

389

7.4 Summary

391

8 Automation Tools and Technologies

393

8.1 Getting Started

394

8.2 AWS-Native Tool Set for Automation

394

8.2.1 AWS Launch Wizard for SAP

395

8.2.2 AWS Migration Hub Orchestrator for SAP Migrations

396

8.2.3 AWS SDK for ABAP

399

8.2.4 DIY Automation Tool Set from AWS

400

8.2.5 Third-Party Automation Tools

419

8.3 DevOps for SAP on AWS

419

8.3.1 Continuous Integration/Continuous Deployment Pipeline

420

8.3.2 AWS Service Catalog

421

8.3.3 AWS EC2 Image Builder

422

8.3.4 Authorization Management

423

8.4 SAP on AWS Automation Code Examples

423

8.4.1 AWS Config: Conformance Pack

424

8.4.2 AWS Systems Manager: State Management

425

8.4.3 AWS Systems Manager: Custom Inventory

425

8.5 Summary

426

9 Multicloud Considerations

429

9.1 How Do SAP Customers End Up with Multiple Clouds?

430

9.2 Multicloud Planning Aspects

432

9.2.1 Governance and Management

432

9.2.2 Identity and Security

434

9.2.3 Operations

435

9.2.4 Observability

436

9.2.5 Data and Analytics

438

9.2.6 Costs

439

9.3 Skilling and Challenges

441

9.4 Vendor Lock-In and Open-Source Tools

442

9.5 Multicloud Strategy Recommendations

444

9.6 When Multicloud Doesn’t Work

445

9.7 Summary

446

10 Transformation

447

10.1 Event-Driven Architectures

449

10.1.1 Event-Based Triggers

450

10.1.2 Rule-Based Orchestration

453

10.1.3 Publisher-Subscriber Notifications

456

10.1.4 Loosely Coupled Architectures

458

10.2 Serverless Application Design

459

10.2.1 Advantages and Disadvantages

459

10.2.2 AWS Serverless Services

460

10.2.3 Cloud Application Gateways

461

10.2.4 Scale on Consumption Model

463

10.2.5 Building without Infrastructures

465

10.3 Application Extensibility with Cloud-Native Services Integration

466

10.3.1 Building SAP Service Extensions as Microservices

466

10.3.2 SAP Extension Strategy and Governance

467

10.3.3 Scaling with Container Technology

468

10.4 Modern Data Architectures for SAP

471

10.4.1 Building Cloud Data Lakes to Improve Business Insights

471

10.4.2 Leveraging Cloud-Native Data Integration Patterns

474

10.4.3 Leveraging Cloud Database Models

477

10.5 Multi-Cloud Integration Patterns

482

10.6 Summary

484

11 What’s Next?

485

11.1 SAP Modernization

485

11.1.1 Integrate Everything

486

11.1.2 Consume Data from Everywhere

488

11.1.3 The Future Big Picture of SAP

489

11.2 Self-Service IT

490

11.3 Artificial Intelligence/Machine Learning-Powered SAP Value Chains

492

11.3.1 Overview

492

11.3.2 SAP Process Automation

493

11.3.3 Business Process Extensions for SAP

495

11.3.4 Generative Artificial Intelligence

497

11.4 Autonomous Operations and Autonomous Security

498

11.4.1 Automating Incident Response

499

11.4.2 Self-Healing Architecture

499

11.4.3 AIOps

501

11.5 Model-Driven Architectures

502

11.6 No-Code Development

503

11.7 Summary

504