Nguồn ngoài

Introduction to Cloud Computing

Engineering

Tác giả: Felix Amoruwa
Nhà xuất bản: De Anza College
Nguồn: LibreTexts
Ngôn ngữ: EN

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Mục lục· 321 mục

01: The Business Case for Cloud Computing
1.01: Introduction to Cloud Computing in a Business Context
1.02: Key Drivers and Motivations for Adopting Cloud Computing
1.03: Everything-as-a-Service Models- IaaS PaaS SaaS and Beyond
1.04: Platform as a Service (PaaS)
1.05: Infrastructure as a Service (IaaS)
1.06: Software as a Service (SaaS)
1.07: Beyond IaaS PaaS and SaaS - The XaaS Ecosystem
1.08: Foundations of Cloud Governance Security and Compliance
1.09: Real-World Case Studies and Use Cases
1.10: Detailed Captions - Chapter 1
1.10.01: Chapter 1
1.11: Key Terms
1.12: Assessments
1.12.01: Review Questions
1.12.02: Critical Thinking Questions
1.12.03: Hands On Lab Exercises
1.12.04: Case Study Analysis
1.13: References
02: Core Concepts of Distributed Systems
2.01: Cloud Computing- Technical Definition and Key Characteristics
2.02: Historical Evolution- From Early Distributed Systems to Modern Cloud
2.03: Cluster as a Single Computer- The Datacenter is the Computer
2.04: Workload Management and Resource Alignment in Data Centers
2.05: Real-World Technologies Architectures and Case Studies
2.06: Summary
2.07: Detailed Captions - Chapter 2
2.7.01: Chapter 2
2.08: Key Terms
2.09: Assessments
2.9.01: Review Questions
2.9.02: Critical Thinking Questions
2.9.03: Hands On Lab Exercise
2.9.04: Case Study Analysis
2.10: References
03: Technical Foundations of the Cloud
3.01: Introduction and Definition of Cloud Computing
3.02: Cloud Service Models- IaaS PaaS SaaS
3.03: AWS and GCP - Leading Cloud Platforms in Perspective
3.04: OpenStack - Open Source Cloud Infrastructure
3.05: Core Technologies Underpinning Cloud Platforms
3.06: Networking in the Cloud (Software-Defined Networking and Virtual Networks)
3.07: Virtualization - Hypervisors and Virtual Machines
3.08: Cloud-Native Architecture- Containers and Microservices
3.09: Bridging Distributed Systems Theory and Cloud Practice
3.10: Real-World Use Cases and Case Studies
3.11: Detailed Captions - Chapter 3
3.11.01: Chapter 3
3.12: Chapter Summary
3.13: Key Terms
3.14: Assessments
3.14.01: Review Questions
3.14.02: Critical Thinking Questions
3.14.03: Hands On Lab Exercises
3.14.04: Case Study Analysis
3.15: References
04: Cloud Administration vs Traditional IT
4.01: Traditional IT Administration Overview
4.02: Cloud Administration Overview
4.03: Changing Administrative Responsibilities in the Cloud Era
4.04: Conclusion
4.05: Detailed Captions - Chapter 4
4.5.01: Chapter 4
4.06: Key Terms
4.07: Assessments
4.7.01: Review Questions
4.7.02: Critical Thinking Questions
4.7.03: Hands On Lab Exercises
4.7.04: Case Study Analysis
4.08: References
05: Designing an Enterprise Cloud Strategy
5.01: Introduction
5.02: Cloud Computing Ecosystem and Stakeholders
5.03: Key Principles of Enterprise Cloud Strategy
5.3.01: Integrated Ecosystem Management for Cloud
5.3.02: Virtualization of Cloud Infrastructure
5.3.03: Service Orientation for Reusable Services (Microservices)
5.3.04: Extensible Provisioning and Subscription for Cloud
5.3.05: Configurable Enablement for Cloud Offerings
5.3.06: Unified Information Representation and Exchange Framework
5.3.07: Cloud Quality and Governance
5.04: Software Architecture and Design Consideration for Cloud
5.05: Real-World Examples and Case Studies
5.06: Detailed Captions - Chapter 5
5.6.01: Chapter 5
5.07: Summary
5.08: Key Terms
5.09: Assessments
5.9.01: Review Questions
5.9.02: Critical Thinking Questions
5.9.03: Hands On Lab Exercises
5.9.04: Case Study Analysis
5.10: References
06: Cloud Architecture and Service Layers
6.01: Introduction
6.02: Layered Cloud Architecture- Concept and Benefits
6.03: Core Cloud Service Models- IaaS PaaS and SaaS
6.04: Extended Cloud Service Models (FaaS CaaS DBaaS BPaaS etc.)
6.05: Mapping Cloud Building Blocks to Architecture Layers
6.06: Cloud Networking Layers and the OSI Model
6.07: Microservices and Serverless Architectures in a Layered Model
6.08: Design Patterns and Reference Architectures for Enterprise Workloads
6.09: Single-Cloud Multi-Cloud and Hybrid Cloud Deployment Models
6.10: Case Studies - Cloud Architecture in Practice
6.11: Detailed Captions - Chapter 6
6.11.01: Chapter 6
6.12: Conclusion
6.13: Assessments
6.13.01: Key Terms
6.13.02: Review Questions
6.13.03: Critical Thinking Questions
6.13.04: Hands On Lab Exercises
6.13.05: Case Study Analysis
6.14: References
07: Distributed Objects and Web Services
7.01: Distributed Objects in Distributed Computing
7.1.01: Remote Procedure Call (RPC)
7.1.02: Remote Method Invocation (RMI)
7.1.03: Common Object Request Broker Architecture (CORBA)
7.1.04: Other Distributed Object Technologies
7.02: Web Services- Principles and Key Technologies
7.2.01: SOAP Web Services (SOAP and WSDL)
7.2.02: RESTful Web Services (REST and JSON)
7.2.03: Beyond REST- Web Services in Modern Cloud Applications
7.03: Cloud Communication- Heterogeneous Systems and Interoperability
7.04: Service Discovery Load Balancing and Reliability in Web Services
7.4.01: Service Discovery
7.4.02: Load Balancing
7.4.03: Reliability and Fault Tolerance
7.05: Real-World Case Studies- APIs in Action
7.5.01: Amazon- From Service-Oriented Architecture to Cloud APIs
7.5.02: Google- API-Centric Architecture and gRPC
7.5.03: Twilio- Communication Platform via Web Services
7.5.04: Summary of Case Studies
7.06: Detailed Captions - Chapter 7
7.6.01: Chapter 7
7.07: Conclusion
7.08: Key Terms
7.09: Assessments
7.9.01: Review Questions
7.9.02: Critical Thinking Questions
7.9.03: Hands On Lab Exercises
7.9.04: Case Study Analysis
7.10: References
08: Building Cloud-Native Applications
8.01: From Monolithic to Cloud-Native- A Paradigm Shift
8.02: Core Principles of Cloud-Native Development
8.2.01: Microservices Architecture
8.2.02: Continuous Integration and Continuous Delivery (CI CD)
8.2.03: Automation and DevOps Culture
8.2.04: Immutable Infrastructure
8.03: Loosely Coupled Systems- APIs Events and Service Meshes
8.3.01: The Role of APIs in Microservices
8.3.02: Event-Driven Architecture and Messaging
8.3.03: Service Meshes for Inter-Service Communication
8.04: Cloud-Native Deployment- Platforms and Container Orchestration
8.4.01: Kubernetes and Container Orchestration
8.4.02: Managed Container Services- AWS and GCP
8.4.03: Reference Architecture Examples (AWS and GCP)
8.05: Cross-Cutting Concerns- Security and Observability in Cloud-Native Design
8.5.01: Security in Cloud-Native Applications
8.5.02: Observability - Monitoring Logging and Tracing
8.06: Scalability and Resilience Patterns in Cloud-Native Design
8.6.01: Scalability Patterns
8.6.02: Resilience and Fault Tolerance Patterns
8.07: Cloud-Native in the Real World- Examples and Outcomes
8.08: Detailed Captions - Chapter 8
8.8.01: Chapter 8
8.09: Summary
8.10: Key Terms
8.11: Assessments
8.11.01: Review Questions
8.11.02: Critical Thinking Questions
8.11.03: Hands On Lab Exercises
8.11.04: Case Study Analysis
8.12: References
09: Workload Strategy Meets Implementation
9.01: Bridging Strategy and Technical Implementation
9.02: Aligning Workloads with Cloud Infrastructure
9.03: Cloud Scalability - Horizontal vs. Vertical Scaling
9.04: Cloud Networking Fundamentals - VPCs Subnets and Connectivity
9.05: Transition Approaches- From Servers to Services
9.06: Phased Migration and Adoption Strategies
9.07: Workload Assessment Monitoring and Optimization Cycles
9.08: Mapping Workload Requirements to Cloud Solutions
9.09: Enterprise Case Studies and Tooling Examples
9.10: Detailed Captions - Chapter 9
9.10.01: Chapter 9
9.11: Assessments
9.11.01: Review Questions
9.11.02: Critical Thinking Questions
9.11.03: Hands On Lab Exercises
9.11.04: Case Study Analysis
9.12: References
10: Infrastructure Design and Resource Management
10.01: Principles of Cloud Infrastructure Design
10.02: Key Design Models
10.2.01: Multi-Tier Architectures (e.g. Three-Tier)
10.2.02: Microservices Architectures
10.2.03: Hybrid and Multi-Cloud Models
10.03: Cloud Resource Types
10.04: Tools for Infrastructure Management
10.4.01: Infrastructure as Code (Provisioning Tools)
10.4.02: Configuration Management Tools
10.05: Cost-Aware Design and Resource Optimization
10.06: Governance and Policy Enforcement
10.07: Monitoring and Resource Utilization
10.7.01: Cloud-Native Monitoring Tools
10.7.02: Alerts and Auto-Scaling Triggers
10.08: Case Examples- AWS Google Cloud and Azure
10.8.01: AWS Example- Scalable Web Application in Multiple AZs
10.8.02: Google Cloud Example- Containerized Microservices with Global Load Balancing
10.8.03: Azure Example- Enterprise Hybrid Cloud with Governance Controls
10.09: Detailed Captions - Chapter 10
10.9.01: Chapter 10
10.10: Assessments
10.10.01: Review Questions
10.10.02: Critical Thinking Questions
10.10.03: Hands On Lab Exercises
10.10.04: Case Study Analysis
10.11: References
11: Data Management in the Cloud
11.01: Cloud Data Management Principles
11.02: Cloud Storage Modes and Distributed File Systems
11.2.01: Object Storage
11.2.02: File Storage
11.2.03: Block Storage
11.2.04: Comparing Storage Models and Cloud Provider Examples
11.2.05: Distributed File Systems
11.03: SQL NoSQL and NewSQL Databases - Definitions Use Cases and Comparisons
11.3.01: SQL Databases (Relational Databases)
11.3.02: NoSQL Databases
11.3.03: NewSQL Databases
11.04: Data Replication Strategies and Consistency Models
11.4.01: Data Replication Strategies
11.4.02: Consistency Models
11.05: Backup and Recovery Strategies in the Cloud
11.06: Name Services and Metadata Management in Distributed Environments
11.6.01: Name Services in Distributed Systems
11.6.02: Metadata Management in Distributed Storage
11.07: Conclusion and Key Takeaways
11.08: Detailed Captions - Chapter 11
11.8.01: Chapter 11
11.09: Assessments
11.9.01: Review Questions
11.9.02: Critical Thinking Questions
11.9.03: Hands On Lab Exercises
11.9.04: Case Study Analysis
11.10: References
12: Security and Compliance at Scale
12.01: Threat Models In Cloud Computing
12.02: Identity and Access Management (IAM) in the Cloud
12.03: Encryption in Transit and at Rest Cloud Key Management
12.04: Secure APIs and Authentication Mechanisms
12.05: Audit Logging Monitoring and Compliance Tooling
12.06: Industry Standards and Regulatory Frameworks
12.07: Detailed Captions - Chapter 12
12.7.01: Chapter 12
12.08: Summary and Key Takeaways
12.09: Assessments
12.9.01: Review Questions
12.9.02: Critical Thinking Questions
12.9.03: Hands On Lab Exercises
12.9.04: Case Study Analysis
12.10: References
13: Managing Connected Devices and Edge Systems
13.01: Device Management in the Cloud
13.02: IoT and Cloud Integration
13.03: Edge Computing- Extending Cloud to the Device Edge
13.3.01: Architectural Differences Between Edge and Cloud
13.3.02: Benefits of Edge Computing
13.3.03: Challenges of Edge Computing
13.04: Latency Considerations and Workload Distribution
13.4.01: When to Compute at the Edge vs. in the Cloud
13.4.02: Latency Budgets and Network Characteristics
13.4.03: Cloud-Edge Collaboration
13.05: Mobile and Ubiquitous Computing Integration
13.5.01: Role of Mobile Devices in IoT
13.5.02: Ubiquitous Computing Use Cases
13.5.03: Platform Support for Mobile and Ubiquitous Integration
13.06: Governance and Compliance in Device-Cloud Connectivity
13.6.01: Device Identity and Authentication
13.6.02: Access Control and Policy Enforcement
13.6.03: Secure Remote Control and OTA Updates
13.6.04: Data Privacy and Compliance Regulations
13.6.05: Governance Policies and IoT Management Platforms
13.07: Cloud Provider Examples and Services
13.08: Detailed Captions - Chapter 13
13.8.01: Chapter 13
13.09: Assessments
13.9.01: Review Questions
13.9.02: Critical Thinking Questions
13.9.03: Hands On Lab Exercises
13.9.04: Case Study Analysis
13.10: References
14: The Future of Cloud Computing
14.01: Emerging Trends in Serverless Computing and FaaS Evolution
14.02: Large-Scale AI ML in the Cloud- Foundation Models and Infrastructure Demands
14.2.01: The Era of Foundation Models and Generative AI
14.2.02: MLOps and Cloud-Native AI Workflows
14.03: The Future of Distributed Transactions and Concurrency in Cloud-Native Systems
14.3.01: From ACID to BASE- Embracing Eventual Consistency
14.3.02: New Consistency Models and Distributed Transaction Techniques
14.04: Sustainable Cloud Strategies- Toward Green and Carbon-Aware Computing
14.4.01: Energy Efficiency and Green Data Centers
14.4.02: Carbon-Aware Workload Scheduling
14.4.03: Other Sustainable Cloud Innovations
14.05: Evolving Enterprise Adoption Strategies- Cloud-Native Modernization Multi-Cloud and Platform Engineering
14.5.01: Cloud-Native Modernization and Application Transformation
14.5.02: Multi-Cloud and Federated Cloud Strategies
14.5.03: Platform Engineering and Internal Developer Platforms
14.5.04: Enterprise Cloud Governance and FinOps
14.06: Future Cloud Roles and Career Paths- AIOps FinOps and the Cloud Ecosystem
14.07: Detailed Captions - Chapter 14
14.7.01: Chapter 14
14.08: Assessments
14.8.01: Review Questions
14.8.02: Critical Thinking Questions
14.8.03: Hands On Lab Exercises
14.8.04: Case Study Analysis
14.09: References