Cloud computing Books

Book SynopsisYou know how to build Go programs—now learn how to ship them to your customers efficiently! This practical guide to continuous delivery shows you how to rapidly establish an automated pipeline that will improve your testing, code quality, and final product. In Bootstrapping Go you will learn how to: Develop better software based on feedback from customers Create a development pipeline that turns feedback into features Reduce bugs with pipeline automation that validates code before it is deployed Establish continuous testing for exceptional code quality Serverless, container based, and server based deployments Scale your deployment in a cost-effective way Deliver a culture of continuous improvement Bootstrapping Go is a hands-on guide to shipping Go-based software. Following examples in the powerful Go programming language, you'll learn how to establish pipelines that seamlessly ferry your projects through production and deployment. Put the theory of continuous delivery and continuous integration into action, and discover instantly-useful guidance on automating your team's build and reacting with agility to customer demands. about the technology Development pipelines built to the principles of continuous delivery are the best way for code to flow through your organization. A properly functioning pipeline makes it seamless to modify functionality, enhance code quality, and evolve your deployments to meet your customer's needs. about the book Bootstrapping Go: Automating code development, testing and deployment shows you how to build pipelines that optimize your development process so you can deliver software seamlessly to production. You'll dive right in, learning author Joel Holmes's easy way to establish pipelines. In fact, you'll set up your first working pipeline before you're finished with Chapter three!Table of Contentstable of contents READ IN LIVEBOOK 1DELIVERING VALUE READ IN LIVEBOOK 2INTRODUCTION TO CONTINUOUS INTEGRATION READ IN LIVEBOOK 3INTRODUCTION TO CONTINUOUS TESTING READ IN LIVEBOOK 4INTRODUCTION TO CONTINUOUS DEPLOYMENT 5 CODE QUALITY ENFORCEMENT 6 TESTING FRAMEWORKS, MOCKING, AND DEPENDENCIES 7 DEPLOYING WITH BUILDPACKS 8 BUILD SYSTEMS AND PATTERNS 9 ACCEPTANCE AND INTEGRATION TESTING 10 CREATING YOUR OWN INFRASTRUCTURE 11 AUTOMATED QUALITY ANALYSIS 12 CONCLUSION

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Book SynopsisLearn the hands-on skills you need to ace the Kubernetes exam and boost your career by becoming a Certified Kubernetes Administrator (CKA). For readers who know the basics of containers and Linux admin. No Kubernetes experience is required. Acing the Certified Kubernetes Administrator Exam will provide you with content and practical exercises according to the unique CKA test environment. This practical book takes you hands-on with all the exam objectives, including deploying containerised applications to Kubernetes, accessing an application from an ingress resource, backup and restoring. You will learn how to: Administer an application running on Kubernetes Troubleshoot errors inside a Kubernetes cluster Authenticate users and machines to the Kubernetes API Create persistent storage in Kubernetes Add additional functionality to an existing Kubernetes cluster Plus! Essential exam tips and exercises help you work out your mental muscle memory. Acing the Certified Kubernetes Administrator Exam is your fast track to becoming a Certified Kubernetes Administrator! Your expert exam tutor is Chad Crowell, whose courses have helped thousands of developers to understand Kubernetes and earn the coveted CKA certification. About the technology The Certified Kubernetes Administrator (CKA) exam proves your skills as a Kubernetes administrator and is a serious test of your competency. There are no multiple-choice questions or essays: the whole test is conducted from the command line, with you performing solutions directly in the terminal. Administered by the Linux Foundation, the certification is recognised by employers worldwide as a proof of your ability to configure and manage production-grade Kubernetes clusters.

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Book SynopsisYour organization can save and thrive in the cloud with this first non-technical guide to cloud computing for business leaders In less than a decade Google, Amazon, and Salesforce.com went from unknown ideas to powerhouse fixtures in the economic landscape; in even less time offerings such as Linkedin, Youtube, Facebook, Twitter and many others also carved out important roles; in less than five years Apple''s iTunes became the largest music retailer in North America. They all share one key strategic decision each of these organizations chose to harness the power of cloud computing to power their drives to dominance. With roots in supercomputing and many other technical disciplines, cloud computing is ushering in an entirely new economic reality technology-enabled enterprises built on low cost, flexible, and limitless technical infrastructures. The Executive''s Guide to Cloud Computing reveals how you can apply the power of cloud computing throughout yoTrade Review“A very timely and invaluable resource for CIOs, CTOs, and Enterprise Architects ... extremely relevant information that will serve readers well now and far into the future.” —Bob Flores, President & CEO Applicology Inc., Former CTO of the Central Intelligence Agency “The authors have done a great job in explaining the cloud concepts. They give historical and technical background to show that cloud computing is really an evolution of numerous technologies and business strategies. It is the combination of these that enables cloud and these new business strategies to happen. This makes the fuzziness of the concept come into focus. The “technical” chapters show the CIO and Technical Architect a model for building your own strategy within the business and a path from concept to deployment with governance and business models thrown in. Darn, I keep hoping for ‘the answer’. Now my questions can dig into the real value for our enterprise and a strategy for moving forward. Great book!!!” —Dave Ploch, CIO, Novus International “‘Executive’s Guide’ is not a code-phrase for an introductory text, but a comprehensive guide for the CIO, IT decision-maker, or project leader. The authors, two entrepreneurs and pioneers in the field, speak from substantial real-world project experience. They introduce the topic and related technologies, highlight cloud drivers and strategy, address relationships to existing initiatives such as Service-Oriented Architectures, detail project phases in the implementation of and evolution to cloud-based enterprise architectures, and offer many reasoned insights along the way.” —Joe Weinman, Strategy and Business Development, AT&T Business Solutions “Executive’s Guide to Cloud Computing is a crystal ball into the future of business. Not a technical treatise but an insightful explanation of how cloud computing can quickly deliver real business value. This book is an instruction manual on how to win business in this ‘born on the web’ world.” —Kevin L. Jackson, Vice President, Dataline LLC and author of Cloud Musings, http://kevinljackson.blogspot.comTable of ContentsPreface xi CHAPTER 1 THE SOUND OF INEVITABILITY 1 A Persistent Vision 5 A Little History 6 Three Ages of Computing 6 Broad Enablers 15 Big Contributions 20 Limitations 21 I Want One of Those 22 Back to the Future? 22 Notes 23 CHAPTER 2 CONCEPTS, TERMINOLOGY,AND STANDARDS 25 Basic Concepts: The Big Stuff 27 Major Layers 34 Where They Live (Deployment Models) 36 Geographic Location 39 Datacenter Innovation 39 The Quest for Green 40 Standards 41 Much Sound and Fury . . . 42 Parting Thoughts 42 Notes 43 CHAPTER 3 CLOUD COMPUTING AND EVERYTHING ELSE 45 The Neighborhood 45 Parting Thoughts 66 Notes 67 CHAPTER 4 STRATEGIC IMPLICATIONS OF CLOUD COMPUTING 69 A Survey of Cloud Implications 70 Business Benefits of Cloud Computing 78 Cloud-Based Business Models 82 Cloud-Enabled Business Models 83 Strategic Implications of Cloud Computing 86 Evolving from SOA into the Cloud 91 When to Do SOA versus Cloud? 98 Cloud Computing Adoption Obstacles 107 Parting Thoughts: Things to Do Tomorrow 109 Notes 110 CHAPTER 5 CLOUD ADOPTION LIFECYCLE 111 Cloud Adoption Lifecycle and Cloud Modeling Framework: Two Necessary Tools for Cloud Success 112 Cloud Adoption Lifecycle 114 Cloud Adoption Lifecycle Summary 144 Parting Thoughts 145 CHAPTER 6 CLOUD ARCHITECTURE, MODELING, AND DESIGN 147 Cloud Adoption Lifecycle Model: Role of Cloud Modeling and Architecture 147 Cloud Industry Standards 149 Standards Monitoring Framework 154 A Cloud Computing Reference Model 155 Exploring the Cloud Computing Logical Architecture 157 Developing a Holistic Cloud Computing Reference Model 162 Cloud Deployment Model 170 Cloud Governance and Operations Model 174 Cloud Ecosystem Model (Supporting the Cloud Reference Model) 179 Consumption of Cloud-Enabled and Cloud Enablement Resources 184 Cloud Computing Reference Model Summary 187 Cloud Computing Technical Reference Architecture 188 Parting Thoughts 192 Notes 193 CHAPTER 7 WHERE TO BEGIN WITH CLOUD COMPUTING 195 Cloud Adoption Lifecycle 195 Where to Begin with Cloud: Using the Cloud Adoption Lifecycle 199 Where to Begin with Cloud: Deployment Model Scenarios 200 Cloud Business Adoption Patterns 204 Where to Begin with Cloud: Consumers and Internal Cloud Providers 209 Cloud Patterns Mapped to Common Cloud Use Cases 213 Parting Thoughts 224 CHAPTER 8 ALL THINGS DATA 227 The Status Quo 228 Cracks in the Monolith 230 Cloud Scale 232 The Core Issues 234 Lessons Learned 237 Solutions and Technologies: A Few Examples 239 A Look Below: Need for Combined Computation/Storage 242 Parting Thoughts 243 Notes 243 CHAPTER 9 WHY INEVITABILITY IS INEVITABLE 245 Driving Scale 27 Objections and Concerns 248 Overwhelming Rationality 253 A Natural Evolution 257 Parting Thoughts 259 Notes 260 Appendix The Cloud Computing Vendor Landscape 263 Infrastructure as a Service (IaaS) 264 Platforms as a Service (PaaS) 264 Software as a Service (SaaS) 265 Systems Integrators 265 Analysts and Services Providers 266 Parting Thoughts 266 Note 266 About the Authors 267 Index 269

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Book SynopsisThe fundamentals for building systems are changing, and although many of the principles that underpin security still ring true, their implementation has become unrecognizable. This practical book provides recipes for AWS, Azure, and GCP to help you enhance the security of your own cloud native systems.

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Book SynopsisThis practical book helps you understand and manage OpenShift clusters from minimal deployment to large multicluster installations.

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Book SynopsisThis practical book describes Microsoft Azure's load balancing options and explains how NGINX can contribute to a comprehensive solution. Cloud architects Derek DeJonghe and Arlan Nugara take you through the steps necessary to design a practical solution for your network.

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Book SynopsisSheen Brisals and Luke Hedger outline the serverless adoption requirements for an enterprise, examine the development tools your team needs, and explain in depth the nuances of testing event-driven and distributed serverless services.

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Book SynopsisLearn in-demand cloud computing skills from industry experts Deploying and Managing a Cloud Infrastructure is an excellent resource for IT professionals seeking to tap into the demand for cloud administrators. This book helps prepare candidates for the CompTIA Cloud+ Certification (CV0-001) cloud computing certification exam. Designed for IT professionals with 2-3 years of networking experience, this certification provides validation of your cloud infrastructure knowledge. With over 30 years of combined experience in cloud computing, the author team provides the latest expert perspectives on enterprise-level mobile computing, and covers the most essential topics for building and maintaining cloud-based systems, including: Understanding basic cloud-related computing concepts, terminology, and characteristics Identifying cloud delivery solutions and deploying new infrastructure Managing cloud technologies, services, and networks Table of ContentsIntroduction xxiii Chapter 1 Understanding Cloud Characteristics 1 Basic Terms and Characteristics 2 Elasticity 2 On-Demand Self-service/JIT 3 Templating 4 Pay as You Grow 6 Pay-as-You-Grow Theory vs. Practice 7 Chargeback 8 Ubiquitous Access 9 Metering Resource Pooling 10 Multitenancy 11 Cloud Bursting 13 Rapid Deployment 14 Object Storage Concepts 16 File-Based Data Storage 16 Object Storage 18 Structured vs. Unstructured Data 18 REST APIs 19 Summary 25 Chapter Essentials 26 Chapter 2 To Grasp the Cloud—Fundamental Concepts 27 The True Nature of the Cloud 28 Elastic 29 Massive 29 On Demand 29 Virtualized 30 Secure 30 Always Available 30 Virtualization and Scalability 31 The True Definer of Cloud Computing 32 Serving the Whole World 32 The Cloud Hypervisor 33 Type 1 and Type 2 33 Use Cases and Examples 34 Benefits of Hypervisors 35 Hypervisor Security Concerns 35 Proprietary vs. Open Source 36 Moore’s Law, Increasing Performance, and Decreasing Enterprise Usage 36 Xen Cloud Platform (Open Source) 37 KVM (Open Source) 38 OpenVZ (Open Source) 38 VirtualBox (Open Source) 39 Citrix XenServer (Proprietary) 39 VMware vSphere/ESXi (Proprietary) 39 Microsoft Windows Server 2012 Hyper-V 41 Consumer vs. Enterprise Use 41 Workstation vs. Infrastructure 43 Key Benefits of Implementing Hypervisors 46 Shared Resources 46 Elasticity 46 Network and Application Isolation 47 Foundations of Cloud Computing 48 Infrastructure 48 Platform 49 Applications 50 Enabling Services 50 Summary 50 Chapter Essentials 51 Chapter 3 Within the Cloud: Technical Concepts of Cloud Computing 53 Technical Basics of Cloud and Scalable Computing 54 Defining a Data Center 55 Traditional vs. Cloud Hardware 62 Determining Cloud Data Center Hardware and Infrastructure 65 Optimization and the Bottom Line 70 The Cloud Infrastructure 78 Open Source 79 Proprietary 84 Summary 85 Chapter Essentials 86 Chapter 4 Cloud Management 87 Understanding Cloud Management Platforms 88 What It Means for Service Providers 90 Planning Your Cloud 90 Building Your Cloud 94 Running Your Cloud 95 What This Means for Customers 95 Service-Level Agreements 97 Policies and Procedures 97 Planning the Documentation of the Network and IP 98 Implementing Change Management Best Practices 100 Managing the Configuration 105 Managing Cloud Workloads 111 Managing Workloads Right on the Cloud 111 Managing Risk 112 Securing Data in the Cloud 113 Managing Devices 114 Virtualizing the Desktop 115 Enterprise Cloud Solution 116 Summary 116 Chapter Essentials 119 Chapter 5 Diagnosis and Performance Monitoring 121 Performance Concepts 122 Input/Output Operations per Second (IOPS) 123 Read vs. Write Files 124 File System Performance 125 Metadata Performance 127 Caching 130 Bandwidth 131 Throughput: Bandwidth Aggregation 132 Jumbo Frames 134 Network Latency 135 Hop Counts 136 Quality of Service (QoS) 137 Multipathing 137 Load Balancing 138 Scaling: Vertical vs. Horizontal vs. Diagonal 138 Disk Performance 140 Access Time 140 Data Transfer Rate 142 Disk Tuning 143 Swap Disk Space 144 I/O Tuning 144 Performance Management and Monitoring Tools 146 Hypervisor Configuration Best Practices 149 Impact of Configuration Changes 151 Common Issues 152 Summary 153 Chapter Essentials 154 Chapter 6 Cloud Delivery and Hosting Models 157 Private 158 Full Private Cloud Deployment Model 158 Semi-private Cloud Deployment Model 159 Public 160 Hybrid 160 Community 161 On-Premises vs. Off-Premises Hosting 161 On-Premises Hosting 162 Off-Premises Hosting 162 Miscellaneous Factors to Consider When Choosing between On- or Off-Premises Hosting 163 Comparing Total Cost of Ownership 166 Accountability and Responsibility Based on Delivery Models 168 Private Cloud Accountability 168 Public Cloud Accountability 169 Responsibility for Service Impairments 170 Accountability Categories 170 Security Differences between Models 171 Multitenancy Issues 171 Data Segregation 173 Network Isolation 173 Functionality and Performance Validation 174 On-Premises Performance 174 Off-Premises Performance 174 Types of Testing 175 Orchestration Platforms 175 Summary 177 Chapter Essentials 178 Chapter 7 Practical Cloud Knowledge: Install, Configure, and Manage 181 Setting Up the Cloud 183 Creating, Importing, and Exporting Templates and Virtual Machines 183 Creating Virtual Machine Templates 184 Importing and Exporting Service Templates 186 Installing Guest Tools 188 Snapshots and Cloning 189 Image Backups vs. File Backups 193 Virtual Network Interface Card 195 Virtual Disks 198 Virtual Switches 199 Configuring Virtual Machines for Several VLANs 201 Virtual Storage Area Network 203 Virtual Resource Migration 204 Establishing Migration Requirements 204 Migrating Storage 206 Scheduling Maintenance 208 Reasons for Maintenance 208 Virtual Components of the Cloud 209 Virtual Network Components 209 Shared Memory 210 Virtual CPU 211 Storage Virtualization 211 Summary 214 Chapter Essentials 215 Chapter 8 Hardware Management 221 Cloud Hardware Resources 222 BIOS/Firmware Configurations 222 Minimum Memory Capacity and Configuration 223 Number of CPUs 223 Number of Cores 224 NIC Quantity, Speeds, and Configurations 225 Internal Hardware Compatibility 225 Storage Media 226 Proper Allocation of Hardware Resources (Host) 227 Proper Virtual Resource Allocation (Tenant/Client) 232 Management Differences between Public, Private, and Hybrid Clouds 234 Public Cloud Management 234 Private Cloud Management 235 Hybrid Cloud Management 236 Tiering 236 Performance Levels of Each Tier 237 Policies 238 RAID Levels 238 File Systems 239 Summary 241 Chapter Essentials 242 Chapter 9 Storage Provisioning and Networking 245 Cloud Storage Concepts 246 Object Storage 246 Metadata 247 Data/Blob 248 Extended Metadata 248 Replicas 248 Policies and Access Control 248 Understanding SAN and NAS 249 Cloud vs. SAN Storage 250 Cloud Storage 251 Advantages of Cloud Storage 252 Cloud Provisioning 252 Migrating Software Infrastructure to the Cloud 253 Cloud Provisioning Security Concerns 253 Storage Provisioning 255 Network Configurations 256 Network Optimization 259 Cloud Storage Technology 260 Data Replication 261 Amazon Elastic Block Store (EBS) 262 Amazon Simple Storage Service (S3) 264 OpenStack Swift 266 Hadoop Distributed File System (HDFS) 266 Choosing from among These Technologies 277 Cloud Storage Gateway 278 Cloud Security and Privacy 280 Security, Privacy, and Attack Surface Area 280 Legal Issues (Jurisdiction and Data) 282 Supplier Lifetime (Vendor Lock-In) 283 Summary 284 Chapter Essentials 284 Chapter 10 Testing and Deployment: Quality Is King 287 Overview of Deployment Models 288 Private Cloud 288 Community Cloud 289 Public Cloud 289 Hybrid Cloud 290 Cloud Management Strategies 290 Private Cloud Strategies 291 Community Cloud Strategies 291 Public Cloud Strategies 292 Hybrid Cloud Strategies 292 Management Tools 293 Cloud Architecture 294 The Need for Cloud Architectures 294 Technical Benefits 295 Business Benefits 295 Cloud Deployment Options 296 Environment Provisioning 296 Deploying a Service to the Cloud 298 Deployment Testing and Monitoring 301 Creating and Deploying Cloud Services 304 Creating and Deploying a Cloud Service Using Windows Azure 305 Deploying and Managing a Scalable Web Service with Flume on Amazon EC2 309 Summary 321 Chapter Essentials 322 Chapter 11 Cloud Computing Standards and Security 323 Cloud Computing Standards 324 Why Do Standards Matter? 324 Current Ad Hoc Standards 325 Security Concepts and Tools 326 Security Threats and Attacks 326 Obfuscation 329 Access Control List 329 Virtual Private Network 330 Firewalls 330 Demilitarized Zone 333 Encryption Techniques 334 Public Key Infrastructure 335 Internet Protocol Security 336 Secure Sockets Layer/Transport Layer Security 336 Ciphers 337 Access Control Methods 338 Role-Based Access Control 338 Mandatory Access Control 338 Discretionary Access Control 339 Rule-Based Access Controls 339 Multifactor Authentication 339 Single Sign-On 339 Federation 340 Implementing Guest and Host Hardening Techniques 340 Disabling Unneeded Ports and Services 340 Secure User Credentials 343 Antivirus Software 344 Software Security Patching 344 Summary 345 Chapter Essentials 345 Chapter 12 The Cloud Makes It Rain Money: The Business in Cloud Computing 347 The Nature of Cloud Business 348 The Service Nature of the Cloud 348 Making Money with Open-Source Software 349 White Label Branding 350 Cloud Service Business Models 351 Infrastructure as a Service (IaaS) 351 Platform as a Service (PaaS) 352 Software as a Service (SaaS) 353 Data as a Service (DaaS) 354 Communication as a Service (CaaS) 355 Monitoring as a Service (MaaS) 355 Business Process as a Service (BPaaS) 355 Anything as a Service (XaaS) 356 Service Model Accountability and Responsibility 356 The Enterprise Cloud 359 Enterprise Applications 359 Cloud Collaboration 360 Collaborating with Telepresence 361 Disaster Recovery 364 Preparing for Failure: Disaster Recovery Plan 365 Backup Sites and Geographical Diversity 366 Change-Over Mechanism: Failover and Failback 369 Business Continuity and Cloud Computing 369 Business Continuity in the Cloud 370 Workshifting in the Cloud 371 Bring Your Own Device 371 Summary 372 Chapter Essentials 373 Chapter 13 Planning for Cloud Integration: Pitfalls and Advantages 375 Work Optimization 376 Optimizing Usage, Capacity, and Cost 376 Which Service Model Is Best for You? 379 The Right Cloud Model 381 Private Cloud 381 Public Cloud 383 Hybrid Cloud 384 Adapting Organizational Culture for the Cloud 385 Finding Out the Current Culture 385 Mapping Out an Adaption Plan 386 Culture Adaption, Propagation, and Maintenance 387 Potholes on the Cloud Road 389 Roadblocks to Planning 389 Convincing the Board 391 Summary 394 Chapter Essentials 394 Appendix The CompTIA Cloud+ Certification Exam 397 Preparing for the Exam 398 Taking the Exam 399 Reviewing the Exam Objectives 400 Index 417

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Book SynopsisTable of Contents Introduction xxiii Assessment Test xxxii Chapter 1 Architectural Concepts 1 Cloud Characteristics 3 Business Requirements 5 Understanding the Existing State 6 Cost/Benefit Analysis 7 Intended Impact 10 Cloud Computing Service Categories 11 Software as a Service 11 Infrastructure as a Service 12 Platform as a Service 12 Cloud Deployment Models 13 Private Cloud 13 Public Cloud 13 Hybrid Cloud 13 Multi- Cloud 13 Community Cloud 13 Multitenancy 14 Cloud Computing Roles and Responsibilities 15 Cloud Computing Reference Architecture 16 Virtualization 18 Hypervisors 18 Virtualization Security 19 Cloud Shared Considerations 20 Security and Privacy Considerations 20 Operational Considerations 21 Emerging Technologies 22 Machine Learning and Artificial Intelligence 22 Blockchain 23 Internet of Things 24 Containers 24 Quantum Computing 25 Edge and Fog Computing 26 Confidential Computing 26 DevOps and DevSecOps 27 Summary 28 Exam Essentials 28 Review Questions 30 Chapter 2 Data Classification 35 Data Inventory and Discovery 37 Data Ownership 37 Data Flows 42 Data Discovery Methods 43 Information Rights Management 46 Certificates and IRM 47 IRM in the Cloud 47 IRM Tool Traits 47 Data Control 49 Data Retention 50 Data Audit and Audit Mechanisms 53 Data Destruction/Disposal 55 Summary 57 Exam Essentials 57 Review Questions 59 Chapter 3 Cloud Data Security 63 Cloud Data Lifecycle 65 Create 66 Store 66 Use 67 Share 67 Archive 69 Destroy 70 Cloud Storage Architectures 71 Storage Types 71 Volume Storage: File- Based Storage and Block Storage 72 Object- Based Storage 72 Databases 73 Threats to Cloud Storage 73 Designing and Applying Security Strategies for Storage 74 Encryption 74 Certificate Management 77 Hashing 77 Masking, Obfuscation, Anonymization, and Tokenization 78 Data Loss Prevention 81 Log Capture and Analysis 82 Summary 85 Exam Essentials 85 Review Questions 86 Chapter 4 Security in the Cloud 91 Chapter 5 Shared Cloud Platform Risks and Responsibilities 92 Cloud Computing Risks by Deployment Model 94 Private Cloud 95 Community Cloud 95 Public Cloud 97 Hybrid Cloud 101 Cloud Computing Risks by Service Model 102 Infrastructure as a Service (IaaS) 102 Platform as a Service (PaaS) 102 Software as a Service (SaaS) 103 Virtualization 103 Threats 105 Risk Mitigation Strategies 107 Disaster Recovery (DR) and Business Continuity (BC) 110 Cloud- Specific BIA Concerns 110 Customer/Provider Shared BC/DR Responsibilities 111 Cloud Design Patterns 114 Summary 115 Exam Essentials 115 Review Questions 116 Cloud Platform, Infrastructure, and Operational Security 121 Foundations of Managed Services 123 Cloud Provider Responsibilities 124 Shared Responsibilities by Service Type 125 IaaS 125 PaaS 126 SaaS 126 Securing Communications and Infrastructure 126 Firewalls 127 Intrusion Detection/Intrusion Prevention Systems 128 Honeypots 128 Vulnerability Assessment Tools 128 Bastion Hosts 129 Identity Assurance in Cloud and Virtual Environments 130 Securing Hardware and Compute 130 Securing Software 132 Third- Party Software Management 133 Validating Open- Source Software 134 OS Hardening, Monitoring, and Remediation 134 Managing Virtual Systems 135 Assessing Vulnerabilities 137 Securing the Management Plane 138 Auditing Your Environment and Provider 141 Adapting Processes for the Cloud 142 Planning for Cloud Audits 143 Summary 144 Exam Essentials 145 Review Questions 147 Chapter 6 Cloud Application Security 151 Developing Software for the Cloud 154 Common Cloud Application Deployment Pitfalls 155 Cloud Application Architecture 157 Cryptography 157 Sandboxing 158 Application Virtualization and Orchestration 158 Application Programming Interfaces 159 Multitenancy 162 Supplemental Security Components 162 Cloud- Secure Software Development Lifecycle (SDLC) 164 Software Development Phases 165 Software Development Models 166 Cloud Application Assurance and Validation 172 Threat Modeling 172 Common Threats to Applications 174 Quality Assurance and Testing Techniques 175 Supply Chain Management and Licensing 177 Identity and Access Management 177 Cloud Identity and Access Control 178 Single Sign- On 179 Identity Providers 180 Federated Identity Management 180 Multifactor Authentication 181 Secrets Management 182 Common Threats to Identity and Access Management in the Cloud 183 Zero Trust 183 Summary 183 Exam Essentials 184 Review Questions 186 Chapter 7 Operations Elements 191 Designing a Secure Data Center 193 Build vs. Buy 193 Location 194 Facilities and Redundancy 196 Data Center Tiers 200 Logical Design 201 Virtualization Operations 202 Storage Operations 205 Managing Security Operations 207 Security Operations Center (SOC) 208 Continuous Monitoring 208 Incident Management 209 Summary 209 Exam Essentials 210 Review Questions 211 Chapter 8 Operations Management 215 Monitoring, Capacity, and Maintenance 217 Monitoring 217 Physical and Environmental Protection 218 Maintenance 219 Change and Configuration Management 224 Baselines 224 Roles and Process 226 Release and Deployment Management 228 Problem and Incident Management 229 IT Service Management and Continual Service Improvement 229 Business Continuity and Disaster Recovery 231 Prioritizing Safety 231 Continuity of Operations 232 BC/DR Planning 232 The BC/DR Toolkit 234 Relocation 235 Power 237 Testing 238 Summary 239 Exam Essentials 239 Review Questions 241 Chapter 9 Legal and Compliance Issues 245 Legal Requirements and Unique Risks in the Cloud Environment 247 Constitutional Law 247 Legislation 249 Administrative Law 249 Case Law 250 Common Law 250 Contract Law 250 Analyzing a Law 251 Determining Jurisdiction 251 Scope and Application 252 Legal Liability 253 Torts and Negligence 254 U.S. Privacy and Security Laws 255 Health Insurance Portability and Accountability Act 255 The Health Information Technology for Economic and Clinical Health Act 258 Gramm–Leach–Bliley Act 259 Sarbanes–Oxley Act 261 State Data Breach Notification Laws 261 International Laws 263 European Union General Data Protection Regulation 263 Adequacy Decisions 267 U.S.- EU Safe Harbor and Privacy Shield 267 Laws, Regulations, and Standards 269 Payment Card Industry Data Security Standard 270 Critical Infrastructure Protection Program 270 Conflicting International Legislation 270 Information Security Management Systems 272 Iso/iec 27017:2015 272 Privacy in the Cloud 273 Generally Accepted Privacy Principles 273 Iso 27018 279 Direct and Indirect Identifiers 279 Privacy Impact Assessments 280 Cloud Forensics 281 Forensic Requirements 281 Cloud Forensic Challenges 281 Collection and Acquisition 282 Evidence Preservation and Management 283 e-discovery 283 Audit Processes, Methodologies, and Cloud Adaptations 284 Virtualization 284 Scope 284 Gap Analysis 285 Restrictions of Audit Scope Statements 285 Policies 286 Audit Reports 286 Summary 288 Exam Essentials 288 Review Questions 290 Chapter 10 Cloud Vendor Management 295 The Impact of Diverse Geographical Locations and Legal Jurisdictions 297 Security Policy Framework 298 Policies 298 Standards 300 Procedures 302 Guidelines 303 Exceptions and Compensating Controls 304 Developing Policies 305 Enterprise Risk Management 306 Risk Identification 308 Risk Calculation 308 Risk Assessment 309 Risk Treatment and Response 313 Risk Mitigation 313 Risk Avoidance 314 Risk Transference 314 Risk Acceptance 315 Risk Analysis 316 Risk Reporting 316 Enterprise Risk Management 318 Assessing Provider Risk Management Practices 318 Risk Management Frameworks 319 Cloud Contract Design 320 Business Requirements 321 Vendor Management 321 Data Protection 323 Negotiating Contracts 324 Common Contract Provisions 324 Contracting Documents 326 Government Cloud Standards 327 Common Criteria 327 FedRAMP 327 Fips 140- 2 327 Manage Communication with Relevant Parties 328 Summary 328 Exam Essentials 329 Review Questions 330 Appendix Answers to the Review Questions 335 Chapter 1: Architectural Concepts 336 Chapter 2: Data Classification 337 Chapter 3: Cloud Data Security 339 Chapter 4: Security in the Cloud 341 Chapter 5: Cloud Platform, Infrastructure, and Operational Security 343 Chapter 6: Cloud Application Security 345 Chapter 7: Operations Elements 347 Chapter 8: Operations Management 349 Chapter 9: Legal and Compliance Issues 350 Chapter 10: Cloud Vendor Management 352 Index 355

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Book SynopsisPrinciples of Soft Computing Using Python Programming An accessible guide to the revolutionary techniques of soft computing Soft computing is a computing approach designed to replicate the human mind's unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and

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Book SynopsisAdora Nwodo is a software engineer who develops mixed-reality products at Microsoft. She frequently shares her insights on cloud technology and careers on her blog and popular YouTube channel. She is the founder of NexaScale, a social enterprise aimed at offering and sharing new opportunities for projects and work experiences within the tech sector. She is a sought-after public speaker, thought leader and author. She is based in Cambridge, UK.

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Book SynopsisLearn how to run large-scale, data-intensive workloads with Compute Engine, Google's cloud platform. Written by Google engineers, this tutorial walks you through the details of this Infrastructure as a Service by showing you how to develop a project with it from beginning to end.

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Book SynopsisWelcome to this introductory guide to using Microsoft''s Azure Arc service, a new multi-cloud management platform that belongs in every cloud or DevOps estate. As many IT pros know, servers and Azure Kubernetes Service drive a huge amount of consumption in Azure-so why not extend familiar management tools proven in Azure to on-premises and other cloud networks? This practical guide will get you up to speed quickly, with instruction that treads light on the theory and heavy on the hands-on experience to make setting up Azure Arc servers and Kubernetes across multiple clouds a lot less complex. Azure experts and MVPs Buchanan and Joyner provide just the right amount of context so you can grasp important concepts, and get right to the business of using and gaining value from Azure Arc. If your organization has resources across hybrid cloud, multi-cloud, and edge environments, then this book is for you. You will learn how to configure and use Azure Arc to uniformly manage workloads across all of these environments.What You Will Learn  Introduces the basics of hybrid, multi-cloud, and edge computing and how Azure Arc fits into that IT strategy Teaches the fundamentals of Azure Resource Manager, setting the reader up with the knowledge needed on the technology that underpins Azure Arc Offers insights into Azure native management tooling for managing on-premises servers and extending to other clouds Details an end-to-end hybrid server monitoring scenario leveraging Azure Monitor and/or Azure Sentinel that is seamlessly delivered by Azure Arc Defines a blueprint to achieve regulatory compliance with industry standards using Azure Arc, delivering Azure Policy from Azure Defender for Servers Explores how Git and GitHub integrate with Azure Arc; delves into how GitOps is used with Azure Arc Empowers your DevOps teams to perform tasks that typically fall under IT operations Dives into how to best use Azure CLI with Azure Arc Who This Book Is ForDevOps, system administrators, security professionals, and IT workers responsible for servers both on-premises and in the cloud. Some experience in system administration, DevOps, containers, and use of Git/GitHub is helpful.Table of Contents1. Azure Arc as Extension of the Azure Control Plane 2. Azure Resource Manager Insights 3. Azure Management Insights 4. Azure Arc Servers: Getting Started 5. Azure Arc Servers: Using at Scale 6. Hybrid Server Monitoring Solution 7. Regulatory and Security Compliance for Azure Arc Servers 8. GitOps Insights9. Azure Arc Enabled Kubernetes: Getting Started

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Book SynopsisApply different enterprise integration and processing strategies available with Pulsar, Apache''s multi-tenant, high-performance, cloud-native messaging and streaming platform. This book is a comprehensive guide that examines using Pulsar Java libraries to build distributed applications with message-driven architecture.You''ll begin with an introduction to Apache Pulsar architecture. The first few chapters build a foundation of message-driven architecture. Next, you''ll perform a setup of all the required Pulsar components. The book also covers work with Apache Pulsar client library to build producers and consumers for the discussed patterns. You''ll then explore the transformation, filter, resiliency, and tracing capabilities available with Pulsar. Moving forward, the book will discuss best practices when building message schemas and demonstrate integration patterns using microservices. Security is an important aspect of any applicatiTable of ContentsData Processing with Apache PulsarChapter 1: Introduction to Apache Pulsar Chapter 2: Working with MessagesChapter 3: Working with Pulsar Functions Chapter 4: Schema RegistryChapter 5: Build Microservices using PulsarChapter 6: Pulsar ConnectersChapter 7: Pulsar SecurityChapter 8: Deploy Pulsar on Kubernetes

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Book SynopsisWrite efficient, smart, and optimized code for containerized applications on public and private clouds at a generic level. This book shows you how to set up microservices that are robust, scalable, and capable of running on GKE (Google Kubernetes Service), AKS (Azure Kubernetes Service), ECS (Elastic Container Service), or even on a vanilla K8S cluster.The book covers the nuts and bolts of container orchestration engines (COEs) and explains how to install and configure them. It also covers creation and deployment of a sample application on COEs. You will learn how to integrate different applications such as OAuth and how to test them and secure them using Istio Citadel. You also will be taught how to create HPA rules for microservices and scale only those microservices that require it, making your stack intelligent. In the concluding chapter, the book explains how to build a SaaS solution from scratch, running on the cloud with automated deployments accessed publicly via a secured ingrTable of Contents•Chapter 1, Cloud Computing and KubernetesChapter Goal:o What is cloud computingo What is Kuberneteso Different distributions of Kuberneteso Setting up a K8S cluster- for workshop purposeso Common commands of K8So Place of Kubernetes from an architecture point of view.•Chapter 2, Creating Applications on KubernetesChapter Goal:o Create an Apache http servero Create a Java Tomcat war-based servero Create a gRPC API server o Create a Rest API servero Differences when creating applications on Kubernetes.o How will the application be actually called in a production based cluster.•Chapter 3, Testing of Applications on KubernetesChapter Goal:o Creating a CI system for testing.o Using of Pytest, go test, behave and other best testing tools based on programming language.o Adding a simple CD system stage.o Coverage of code and mock of applications to replicate real time scenarios.•Chapter 4, Security of ApplicationsChapter Goal:o Creating a book inventory application composed of UI, API and DBo Using cloud services instead of reinventing the wheelo Using and understand Istio for TLS Encryption and monitoring.o Understanding authentication/authorization and RBAC systems.o Leverage all the services available rather than developing things to secure all microservices.•Chapter 5, Networking of ApplicationsChapter Goal:o Understanding the basics of networking in Kubernetes.o How containers/pod reach each other via overlay networking.o Different ways networking is configured in Kubernetes cluster.o Using name-based DNS routing in applications rather than IP’so Understanding load balancers and the features provided by it.o Using Istio to create a service mesh of microservices and see the flow of traffic between them.o Configuring Kubernetes objects such as Ingress, Service, Endpoints.•Chapter 6, Scaling of Software SolutionChapter Goal:o Identify which microservice of the solution is becoming a bottlenecko Creating HPA rules in Kubernetes to scale specific microservice.o Use case and real-world problems and solutions to them via scaling. •Chapter 7, Building a SaaS SolutionChapter Goal:o Start with nothing but a simple k8s cluster.o Create microservice with your own hands one by one.o Identify what all services are required for building a sample SaaS e commerce solution.o Creating/Configuring a UI, API, DB, business logic, monitoring software stack.o Architecting the entire solution.o Bring the stack up and testing it against load and autoscaling the solution to support any number of requests.

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Book SynopsisGet introduced to Azure Arc-enabled Data Services and the powerful capabilities to deploy and manage local, on-premises, and hybrid cloud data resources using the same centralized management and tooling you get from the Azure cloud. This book shows how you can deploy and manage databases running on SQL Server and Postgres in your corporate data center or any cloud as if they were part of the Azure platform. This second edition has been updated to the latest codebase, allowing you to use this book as your handbook to get started with Azure Arc-enabled Data Services today. Learn how to benefit from Azure's centralized management, the automated rollout of patches and updates, managed backups, and more.This book is the perfect choice for anyone looking for a hybrid or multi-vendor cloud strategy for their data estate. The authors walk you through the possibilities and requirements to get Azure SQL Managed Instance and PostgresSQL Hyperscale deployed outside of Azure, so the services are accessible to companies that cannot move to the cloud or do not want to use the Microsoft cloud exclusively. The technology described in this book will benefit those required to keep sensitive services, such as medical databases, away from the public cloud equally as those who can't move to a public cloud for other reasons such as infrastructure constraints but still want to benefit from the Azure cloud and the centralized management and tooling that it supports. What You Will LearnUnderstand the fundamentals and architecture of Azure Arc-enabled data servicesBuild a multi-cloud strategy based on Azure Data ServicesDeploy Azure Arc-enabled data services on premises or in any cloudDeploy Azure Arc-enabled SQL Managed Instance on premises or in any cloudDeploy Azure Arc-enabled PostgreSQL Hyperscale on premises or in any cloudBackupand Restore your data that is managed by Azure Arc-enabled data servicesManage Azure-enabled data services running outside of AzureMonitor Azure-enabled data services through Grafana and KibanaMonitor Azure-enabled data services running outside of Azure through Azure MonitorWho This Book Is ForDatabase administrators and architects who want to manage on-premises or hybrid cloud data resources from the Microsoft Azure cloud. Especially for those wishing to take advantage of cloud technologies while keeping sensitive data on premises and under physical control.Table of Contents1. A Kubernetes Primer2. Azure Arc-Enabled Data Services3. Getting Ready for Deployment4. Installing Kubernetes5. Deploying a Data Controller in Indirect Mode 6. Deploying a Data Controller in Direct Mode 7. Deploying an Azure Arc-Enabled SQL Managed Instance8. Deploying Azure Arc-Enabled PostgreSQL Hyperscale 9. Monitoring and Management

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Book SynopsisDesign and implement a modern data lakehouse on the Azure Data Platform using Delta Lake, Apache Spark, Azure Databricks, Azure Synapse Analytics, and Snowflake. This book teaches you the intricate details of the Data Lakehouse Paradigm and how to efficiently design a cloud-based data lakehouse using highly performant and cutting-edge Apache Spark capabilities using Azure Databricks, Azure Synapse Analytics, and Snowflake. You will learn to write efficient PySpark code for batch and streaming ELT jobs on Azure. And you will follow along with practical, scenario-based examples showing how to apply the capabilities of Delta Lake and Apache Spark to optimize performance, and secure, share, and manage a high volume, high velocity, and high variety of data in your lakehouse with ease. The patterns of success that you acquire from reading this book will help you hone your skills to build high-performing and scalable ACID-compliant lakehouses using flexible and cost-efficient decoupled storTable of ContentsIntroductionPart I. Getting Started1. The Lakehouse Paradigm2. Mount Lakes to DatabricksPart II. Lakehouse Platforms3. Snowflake Data Warehouse4. Synapse Analytics Serverless Pools5. Databricks SQL AnalyticsPart III. Apache Spark6. PySpark7. Extract, Load, Transform JobsPart IV. Delta Lake8. Delta Schema Evolution9. Delta Change Feed10. Delta Clones11. Delta Live Tables12. Delta SharingPart V. Optimizing Performance13. Dynamic Partition Pruning for Querying Star Schemas14. Z-Ordering and Data Skipping15. Adaptive Query Execution16. Bloom Filter Index17. HyperspacePart VI. Lakehouse Capabilities18. Auto Loader Resource Management19. Advanced Schema Evolution with Auto Loader 20. Python Wheels21. Security and Controls22. Unity Catalog

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Book SynopsisThis book provides Kafka administrators, site reliability engineers, and DataOps and DevOps practitioners with a list of real production issues that can occur in Kafka clusters and how to solve them. The production issues covered are assembled into a comprehensive troubleshooting guide for those engineers who are responsible for the stability and performance of Kafka clusters in production, whether those clusters are deployed in the cloud or on-premises. This book teaches you how to detect and troubleshoot the issues, and eventually how to prevent them. Kafka stability is hard to achieve, especially in high throughput environments, and the purpose of this book is not only to make troubleshooting easier, but also to prevent production issues from occurring in the first place. The guidance in this book is drawn from the author's years of experience in helping clients and internal customers diagnose and resolve knotty production problems and stabilize their Kafka environments. The book Table of Contents

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Book SynopsisSalesforce Field Service (formerly Field Service Lightning) connects customers, workforce, and products on a single platform to deliver exceptional on-site services. This book guides Field Service enthusiasts in creating, managing, and automating support with use cases and real-time examples. You will learn Salesforce Field Service which will help you better manage your customers, internal users, and field technicians. As you advance, you'll learn the whole end-to-end life cycle of creating work orders, associating service appointments to work orders, scheduling and dispatching service appointments to field technicians, and completing the work orders. By the end of this book, you'll be able to implement, test and deploy Salesforce Field Service for both Desktop and Mobile apps. What you'll learn Basics of Field Service Field Service objects and data model Field Service schedulingand optimization Configuring Salesforce Field Service Managing Salesforce Field ServiceTable of ContentsChapter 1: Intro to Salesforce Field Service · Basics of Field Service and Field Service Life Cycle · Field Service Personas, Objects and Data Model · Common Field Service Terminology · How Salesforce can help build Field Service and understanding Salesforce Licenses Chapter 2: Step by Step Field Service Implementation · Installing Field Service Managed App Exchange Package · Using Field Service Guided Setup · Using Dispatcher Console for dispatching Service Appointments Chapter 3: Extending Field Service to Mobile · Configuring Field Service Mobile App · How Field Technicians use Mobile App Chapter 4: Reporting in Field Service · Configure Reports and Dashboards to understand Field Service performance Chapter 5: Cracking Salesforce Field Service Lightning Certification · Understanding exam outline, key tips and strategies

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Book SynopsisDiscover the power of SAP Integration Suite's capabilities with this hands-on guide. Learn how this integration platform (iPaaS) can help you connect and automate your business processes with integrations, connectors, APIs, and best practices for a faster ROI. Over the course of this book, you will explore the powerful capabilities of SAP Integration Suite, including API Management, Open Connectors, Integration Advisor, Trading Partner Management, Migration Assessment, and Integration Assessment. With detailed explanations and real-world examples, this book is the perfect resource for anyone looking to unlock the full potential of SAP Integration Suite. With each chapter, you'll gain a greater understanding of why SAP Integration Suite can be the proverbial swiss army knife in your toolkit to design and develop enterprise integration scenarios, offering simplified integration, security, and governance for your applications. Author Jaspreet Bagga demonstrates howto create, publish, and Table of ContentsChapter 1: Introduction to APIs.- Chapter 2: Introduction to SAP Integration Suite.- Chapter 3: SAP Integration Advisor.- Chapter 4: SAP API Management.- Chapter 5: SAP Trading Partner Management.- Chapter 6: SAP Integration Assessment.- Chapter 7: SAP Open Connectors.- Chapter 8: Migration Assesments.

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Book SynopsisExplore the world of Kubernetes and learn the concepts needed to develop, deploy, and manage applications on this container orchestrator. This step-by-step development guide is designed for application developers and support members aiming to learn Kubernetes and/or prepare for interviews. All the concepts in the book are presented in Q&A format,with questions framed exactly the way they are asked in an interview, giving you a distinctive edge in interviews. You'll start by understanding how application development and deployment have evolved over the decades leading up to containerization. You'll then dive deep into core Kubernetes concepts, learning Kubernetes architecture, Kubernetes objects and workload resources, and how to exploit them to their full potential. You'll also learn Kubernetes deployment strategies and concepts related to rollout and rollback. Moving on, you'll look at two very important aspects of any computing ecosystem: networking and storage. You will gain an Table of ContentsChapter 1: Welcome to the World of Containers.- Chapter 2: Kubernetes- Deep Dive Begins.- Chapter 3: Essential Objects in Kubernetes Cluster.- CHAPTER 4: Objects Important for Secure Kubernetes Cluster.- CHAPTER 5: Networking in Kubernetes.- CHAPTER 6: Kubernetes Storage System.- CHAPTER 7: Manage Your Kubernetes Cluster Efficiently.- CHAPTER 8: Best Practices – Kubernetes and Docker.- CHAPTER 9: kubectl – The Command Line Tool

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Book SynopsisThis hands-on guide provides the knowledge and tools you need to measure, deploy, and manage your web application infrastructure before you experience explosive growth. In this thoroughly updated edition, authors Arun Kejariwal (MZ) and John Allspaw provide a systematic, robust, and practical approach to capacity planning.

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Book SynopsisGet valuable tips and techniques for automating your cloud deployments with Azure PowerShell cmdlets, and learn how to provision Azure services on the fly. In this hands-on guide, Microsoft cloud technology expert Michael Washam shows you how to automate various management tasks and deploy solutions that are both complex and at scale.

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Book SynopsisFor many organizations, a big part of DevOps' appeal is software automation using infrastructure-as-code techniques. This book presents developers, architects, and infra-ops engineers with a more practical option.

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Book SynopsisWith cloud providers running servers and managing machine resources, companies now can focus solely on the application's business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure.

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Book SynopsisThis practical book shows data scientists, data engineers, and platform architects how to plan and execute a Kubeflow project to make their Kubernetes workflows portable and scalable.

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Book SynopsisWant to run your Kubernetes workloads safely and securely? This practical book provides a threat-based guide to Kubernetes security. Authors Andrew Martin and Michael Hausenblas share best-practice configuration to help you harden clusters from possible angles of attack.

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Book SynopsisWith this practical book, new and experienced developers and operators will learn specific techniques and examples for operationalizing OpenShift and Kubernetes in the enterprise.

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Book SynopsisThis practical book shows you how to build a true cloud native infrastructure on Microsoft Azure, following guidelines from the Cloud Native Computing Foundation (CNCF).

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Book SynopsisWith this practical, developer-oriented book, DevOps engineers, developers, IT architects, and SREs will learn the most useful recipes and examples for following GitOps practices.

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Book SynopsisWith this practical guide, author Sev Leonard provides a holistic approach to designing scalable data pipelines in the cloud. Intermediate data engineers, software developers, and architects will learn how to navigate cost/performance trade-offs and how to choose and configure compute and storage.

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Book SynopsisUsing a multi-disciplinary and comparative approach, this study examines emerging and innovative attempts to tackle privacy and legal issues in cloud computing such as personal data privacy, security and intellectual property protection.An international team of legal scholars, computer science researchers, regulators and practitioners present original and critical responses to the growing challenges posed by cloud computing. They analyze the specific legal implications pertaining to jurisdiction, biomedical practice and information ownership, as well as issues of regulatory control, competition and cross-border regulation.Law academics, practitioners and regulators will find this book to be a valuable, practical and accessible resource, as will computer science scholars interested in cloud computing issues.Contributors: H. Chang, A.S.Y. Cheung, A. Chiu, K.P. Chow, E.S. Dove, X. Fan, Y. Joly, T.S.-H. Kaan, B.M. Knoppers, J. Kong, G. Master, J.-P. Moiny, C. Reed, D.N. Staiger, G.Y. Tian, R.H. Weber, P.K. YuTrade Review'Experts from various countries have managed to create a handbook on the legal aspects of cloud computing, including problems of intellectual property laws, contractual issues, privacy and private international law. In addition, the book deals with the highly sensitive and controversial problems of biomedical and health data stored in and transferred via cloud systems. The chapters are comprehensive and written with a masterful hand by lawyers who are known throughout the world as leading information law experts.' --Thomas Hoeren, University of Muenster, Germany'Cloud computing provides the foundation for the myriad of network services that millions of Internet users rely upon every day. The cloud offers economic benefits to providers and convenience to users, but it also generates challenging new privacy and legal concerns that until now have been largely under-explored. Anne Cheung and Rolf Weber's exceptional book on cloud computing issues fills an important void, featuring a comprehensive, timely and engaging collection of works assessing the cloud from many legal perspectives. From privacy to copyright to jurisdiction, the book is a must-read for anyone exploring the intersection of law and cutting-edge technologies.' --Michael A. Geist, University of Ottawa, CanadaTable of ContentsContents: Preface Introduction: A Walk in the Clouds Anne S.Y. Cheung and Rolf H. Weber 1. Introduction to Cloud Computing and Security Issues Joe Kong, Xiaoxi Fan and K.P. Chow 2. Data Protection Regulation and Cloud Computing Henry Chang 3. Legal Safeguards for Cloud Computing Rolf H. Weber 4. Re-personalizing Personal Data in the Cloud Anne S.Y. Cheung 5. Cross-border Data Flow in the Cloud Between the EU and the US Dominic N. Staiger 6. Cloud and Jurisdiction: Mind the Borders Jean-Philippe Moiny 7. Information in the Cloud: Ownership, Control and Accountability Chris Reed 8. Cloud Computing and Copyright George Yijun Tian 9. Towards the Seamless Global Distribution of Cloud Content Peter K. Yu 10. Lost in Translation: Transforming Healthcare Information for the Digital and Cloud Domains Terry Sheung-Hung Kaan 11. International Genomic Cloud Computing: ‘Mining’ the Terms of Service Edward S. Dove, Yann Joly and Bartha M. Knoppers 12. Practical Aspects of Licensing in the Cloud Alan Chiu and Geofrey Master Index

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Book SynopsisSoftware defined networking (SDN) is one of the most promising recent developing in the networking. Together with network function virtualization (NFV) it has the potential to automate the networking tasks in a seamless manner.This book introduces the reader to this burgeoning field and explains the basic concepts within a historical context. It should be useful to senior undergraduates, beginning graduate students, and also to anyone curious about this topic.

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Book SynopsisThis book covers not only information protection in cloud computing, architecture and fundamentals, but also the plan design and in-depth implementation details needed to migrate existing applications to the cloud. Cloud computing has already been adopted by many organizations and people because of its advantages of economy, reliability, scalability and guaranteed quality of service amongst others. Readers will learn specifics about software as a service (Saas), platform as a service (Paas), infrastructure as a service (IaaS), server and desktop virtualization, and much more. Readers will have a greater comprehension of cloud engineering and the actions required to rapidly reap its benefits while at the same time lowering IT implementation risk. The book's content is ideal for users wanting to migrate to the cloud, IT professionals seeking an overview on cloud fundamentals, and computer science students who will build cloud solutions for testing purposes.

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Book SynopsisThis book covers not only information protection in cloud computing, architecture and fundamentals, but also the plan design and in-depth implementation details needed to migrate existing applications to the cloud. Cloud computing has already been adopted by many organizations and people because of its advantages of economy, reliability, scalability and guaranteed quality of service amongst others. Readers will learn specifics about software as a service (Saas), platform as a service (Paas), infrastructure as a service (IaaS), server and desktop virtualization, and much more. Readers will have a greater comprehension of cloud engineering and the actions required to rapidly reap its benefits while at the same time lowering IT implementation risk. The book's content is ideal for users wanting to migrate to the cloud, IT professionals seeking an overview on cloud fundamentals, and computer science students who will build cloud solutions for testing purposes.

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Book SynopsisThis open access book provides an overview of the work developed within the SODALITE project, which aims at facilitating the deployment and operation of distributed software on top of heterogeneous infrastructures, including cloud, HPC and edge resources. The experts participating in the project describe how SODALITE works and how it can be exploited by end users. While multiple languages and tools are available in the literature to support DevOps teams in the automation of deployment and operation steps, still these activities require specific know-how and skills that cannot be found in average teams. The SODALITE framework tackles this problem by offering modelling and smart editing features to allow those we call Application Ops Experts to work without knowing low level details about the adopted, potentially heterogeneous, infrastructures. The framework offers also mechanisms to verify the quality of the defined models, generate the corresponding executable infrastructural code, automatically wrap application components within proper execution containers, orchestrate all activities concerned with deployment and operation of all system components, and support on-the-fly self-adaptation and refactoring.Table of ContentsOrchestrating Heterogeneous Applications: Motivation and State of the Art.- The SODALITE Approach: an Overview.- The SODALITE Model-driven Approach.- Quality Assurance and Design-time Optimization.- The SODALITE Runtime Environment.- SODALITE in Context.- SODALITE Use Cases.- Toward Impact Generation and Future Research.

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Book SynopsisNumerous advancements are being brought in and incorporated into the cloud domain with the aim of realizing a trove of deeper and decisive automations.Rather than discussing the cloud paradigm in isolation, this fully updated text examines how cloud computing can work collaboratively with other computing models to meet the needs of evolving trends.This multi-dimensional approach encompasses the challenges of fulfilling the storage requirements of big data, the use of the cloud as a remote server for Internet of Things and sensor networks, and an investigation of how cloud computing is interlinked with other established computing phenomenon such as edge computing. New chapters illustrate the distinct ideals of the cloud-native computing, proclaimed as the next-generation cloud computing paradigm.Topics and features: Includes learning objectives, motivating questions, and self-test exercises Introduces the underlying concepts, fundamental features, and key technological foundations of cloud computing Examines how enterprise networking and cloud networking can work together to achieve business goals Reviews the different types of cloud storage available to address the evolution of data and the need for digitization Discusses the challenges and approaches to implementing cloud governance, security, and the hot topic of cloud management Describes the details of cloud migration, the crucial role of monitoring in optimizing the cloud, and the basics of disaster recovery using cloud infrastructure This technically rigorous, yet simple-to-follow textbook is an ideal resource for graduate courses on cloud computing. Professional software developers and cloud architects will also find the work to be an invaluable reference.Table of Contents1. Introduction to Cloud Computing.- 2. Fundamentals of Cloud Computing.- 3. Technological Foundations of Cloud Computing.- 4. Cloud Networking.- 5. Storage Fundamentals and Cloud Storage.- 6. Cloud Security.- 7. Cloud Migration.- 8. Cloud Monitoring.- 9. Basics of Cloud Management.- 10. Cloud Service Brokerage.- 11. Cloud Orchestration.- 12. Disaster Recovery.

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Book SynopsisNumerous advancements are being brought in and incorporated into the cloud domain with the aim of realizing a trove of deeper and decisive automations. Rather than discussing the cloud paradigm in isolation, this fully updated text examines how cloud computing can work collaboratively with other computing models to meet the needs of evolving trends.This multi-dimensional approach encompasses the challenges of fulfilling the storage requirements of big data, the use of the cloud as a remote server for Internet of Things and sensor networks, and an investigation of how cloud computing is interlinked with other established computing phenomenon such as edge computing.New chaptersillustrate the distinct ideals of the cloud-native computing, proclaimed as the next-generation cloud computing paradigm. Topics and features:Includes learning objectives, motivating questions, and self-test exercisesIntroduces the underlying concepts, fundamental features, and key technological foundations of cloud computingExamines how enterprise networking and cloud networking can work together to achieve business goalsReviews the different types of cloud storage available to address the evolution of data and the need for digitizationDiscusses the challenges and approaches to implementing cloud governance, security, and the hot topic of cloud managementDescribes the details of cloud migration, the crucial role of monitoring in optimizing the cloud, and the basics of disaster recovery using cloud infrastructureThis technically rigorous, yet simple-to-follow textbook is an ideal resource for graduate courses on cloud computing. Professional software developers and cloud architects will also find the work to be an invaluable reference.

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Book SynopsisThis book constitutes revised selected papers from the refereed proceedings of the 7th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2022, which took place in Potsdam, Germany, on September 6, 2022.The 6 full papers included in this book were carefully reviewed and selected from 16 submissions. They were organized in topical sections as follows: Cloud-Based Urban Mobility Services; New Results in Priority-Based Bin Packing; More Sparking Soundex-based Privacy-Preserving Record Linkage and Privacy Preserving Queries of Shortest Path Distances.Table of ContentsCloud-Based Urban Mobility Services.- SQL Query Optimization in Distributed NoSQL Databases for Cloud-based Applications.- MAGMA: Proposing a Massive Historical Graph Management System.- New Results in Priority-Based Bin Packing.- More Sparking Soundex-based Privacy-Preserving Record Linkage.- Privacy Preserving Queries of Shortest Path Distances.

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Book SynopsisThis textbook provides a thorough yet compact review of cloud technologies. It offers easy to understand explanations of the technical concepts underlying cloud services, platforms, and applications offered by Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform (GCP). It presents cloud concepts at a depth that can be understood and applied by both technical and non-technical readers. Once that is accomplished the learner can then easily move toward more advanced topics. Or, they can use the knowledge gained from this book to obtain industry certifications and be competitive in this exciting industry. Reader learning is enhanced with quizzes and exam questions and hands-on labs throughout the book with PowerPoint slides, instructor guide and additional labs online. All the tools needed for advancement to the level of cloud architect are found in this book. The author has verified the success of this approach in his own academic environment with much success. He teaches Cloud Engineering and Advanced Cloud Engineering at Southern Methodist University. Both courses were developed in partnership with the AWS Academy, the education arm of the Amazon Web Services cloud platform. Using this methodology his students routinely take and pass cloud certification exams and obtain lucrative employment positions in the rapidly expanding cloud industry.Table of ContentsPart 1: Introduction to Cloud Computing Chapter 1: Cloud Computing Concepts Part 2: Cloud Networking Chapter 2: Basic Networking Chapter 3: Network Addressing and Protocols Chapter 4: Bringing It All Together Part 3: Public Cloud Providers Chapter 5: Well-Architected Framework Chapter 6: Amazon Web Services (AWS) Chapter 7: Microsoft Azure Chapter 8: Google Cloud Platform (GCP) Part 4: AWS, AZURE and GCP Labs Chapter 9: Amazon Web Services (AWS) Lab Chapter 10: Microsoft Azure Lab Chapter 11: Google Cloud Platform (GCP) Part 5: Conclusion Chapter 12: Comparing AWS, Azure, and GCP Chapter 13: Cloud Certifications Chapter 14: Cloud Trends

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Book SynopsisThis book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.Table of ContentsChapter 1: Energy-aware resource scheduling in FoG environment for IoT-based applicationsRajeev Tiwari, Mamta Mittal, Shelly, Sumit KumarChapter2: DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-oriented IoT Applications in Fog-Cloud Computing EnvironmentsMeeniga Sriraghavendra, Priyanka Chawla, Huaming Wu, Sukhpal Singh Gill, and Rajkumar BuyyaChapter 3: Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment Parmeet Kaur and Shikha MehtaChapter 4: A Sustainable Energy Efficient IoT-Based Solution for Real Time Traffic Assistance using Fog ComputingBhawna Suri, Shweta Taneja, Sunny Kumar, SumitChapter 5: Analysis on Application of Fog Computing in Industry 4.0 and Smart CitiesSuja Cherukullapurath Mana , B.Keerthi Samhitha ,Deepa D, Vignesh RChapter 6: Fog-Computing: A Novel Approach For Cloud-based devices Using Perceptual Cloning Manifestation-PERCOLNIF Taxonomy by Energy Optimization.Rupa Kesavan, Vijayaraja Loganathan, Shankar T and Periasamy J KChapter 7: Performance Evaluation and Energy Efficient VM Placement for Fog assisted IoT EnvironmentSudhansu Shekhar Patra, ,Mamta Mittal, D Jude Hemantha, Mahmoud AL Ahmad and Rabindra Kumar BarikChapter 8: Load Balancing in Fog Computing using QoS Shilpi Harnal, Gaurav Sharma, Nidhi Seth, Ravi Dutt MishraChapter 9: Fog Computing in Industry 4.0: Applications and Challenges – A Research Roadmap Sita Rani, Aman Kataria and Meetali ChauhanChapter 10: Fog Computing based Architecture for Smart City Projects and Applications Naishadh Mehta, Anand Ruparelia, and Jai Prakash Verma Chapter 11: Integration of Fog Computing and IoT Based Energy Harvesting (EHIoT) Model for Wireless Sensor NetworkH.M.K.K.M.B. Herath , R.D.D. Prematilake , B.G.D.A. MadhusankaChapter 12: Design and Development of Efficient Secure Routing Mechanism For Wireless Sensor NetworkTaranath N L, Roopashree H R, Yogeesh A C, Darshan L M, C K SubbarayaChapter 13: Futuristic Communication Systems using Mobile Edge ComputingManinder Jeet Kaur, Piyush Maheshwari, Sadia Riaz, Arif MushtaqChapter 14: Methodology to ensure the continuity of the information systems service, based on the monitoring of electrical energy, using IOT technologyWilver Auccahuasi, Kitty Urbano, Edward Flores, Luis Romero, Monica Diaz, Edwin Felix, Nicanor Benites, Fernando Sernaque, Denny Lovera, Orlando Pacheco and Mario Ruiz

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