کتاب صوتی Google Cloud Platform: Practical Guide for Java Developers (Spring Cloud)

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره Google Cloud Platform: Practical Guide for Java Developers (Spring Cloud)

موضوع کلی: برنامه نویسی

موضوع میانی: Google Cloud Platform (GCP)

📋 سرفصل‌های دوره

• 1. لیست 100 سرفصل برای دوره آموزشی "Google Cloud Platform: Practical Guide for Java Developers (Spring Cloud)":
• 2. Introduction to Google Cloud Platform for Java Developers
• 3. Why Choose GCP for Spring Cloud Microservices?
• 4. Setting Up Your GCP Account, Project, and Billing
• 5. Navigating the GCP Console and Understanding Project Structure
• 6. Installing and Configuring the Google Cloud SDK (gcloud CLI)
• 7. IAM Fundamentals: Users, Roles, and Service Accounts for Java Apps
• 8. Overview of Java Runtime Environments on GCP
• 9. Spring Framework, Spring Boot, and Microservices Refresher
• 10. Introduction to Spring Cloud GCP Client Libraries
• 11. Deploying Your First "Hello World" Spring Boot Application to GCP
• 12. **Compute: Google App Engine Standard Environment for Java**
• 13. Deploying Spring Boot Applications to App Engine Standard
• 14. App Engine Standard Services, Versions, and Traffic Management
• 15. Migrating from Traditional Java EE to App Engine Standard
• 16. **Compute: Google App Engine Flexible Environment for Java**
• 17. Deploying Custom Dockerized Spring Boot Apps to App Engine Flexible
• 18. Scaling, Load Balancing, and Custom Domains for App Engine Flexible
• 19. **Compute: Google Compute Engine (IaaS) for Java Workloads**
• 20. Provisioning and Configuring Linux VMs for Java Applications
• 21. Automating Spring Boot Application Deployment on Compute Engine VMs
• 22. Managed Instance Groups (MIGs) for Scalable and Resilient VM Deployments
• 23. **Containerization Essentials for Java Developers**
• 24. Docker Fundamentals: Creating Efficient Dockerfiles for Spring Boot
• 25. Building and Pushing Java Container Images to Artifact Registry
• 26. **Google Kubernetes Engine (GKE) for Spring Microservices**
• 27. Introduction to Kubernetes Core Concepts: Pods, Deployments, Services
• 28. Setting Up a GKE Cluster and kubectl Access
• 29. Deploying Spring Boot Microservices to GKE
• 30. Exposing GKE Services with Load Balancers and Ingress
• 31. GKE Autoscaling: HPA and Cluster Autoscaler for Java Workloads
• 32. Persistent Storage on GKE: Persistent Volumes and Claims
• 33. Configuration Management on GKE: ConfigMaps and Secrets
• 34. Leveraging Helm Charts for Spring Microservice Deployments on GKE
• 35. GKE Best Practices for Production-Ready Java Applications
• 36. Migrating Existing Monoliths to GKE-based Microservices
• 37. **Cloud Run: Serverless Containers for Java**
• 38. Deploying Spring Boot Applications to Cloud Run
• 39. Managing Cloud Run Services, Revisions, and Traffic
• 40. Environment Variables, Secrets, and Custom Domains in Cloud Run
• 41. Cloud Run for Event-Driven Microservices
• 42. **Cloud Functions: Function-as-a-Service for Java**
• 43. Developing and Deploying Java Cloud Functions
• 44. Triggering Cloud Functions via HTTP, Pub/Sub, and Cloud Storage
• 45. Building Spring Cloud Functions for GCP
• 46. Eventarc: Eventing Infrastructure for GCP
• 47. **Data Storage: Cloud Storage (Object Storage)**
• 48. Managing Buckets and Objects with the Java Client Library
• 49. Spring Cloud GCP Storage Integration for File Operations
• 50. Access Control and Signed URLs for Secure Data Sharing
• 51. **Data Storage: Cloud SQL (Managed Relational Databases)**
• 52. Provisioning and Configuring Cloud SQL Instances (PostgreSQL/MySQL)
• 53. Connecting Spring Boot Applications to Cloud SQL via JDBC
• 54. Secure Connections with Cloud SQL Proxy and IAM Database Authentication
• 55. Managing Database Migrations with Flyway/Liquibase
• 56. High Availability, Backup, and Recovery Strategies for Cloud SQL
• 57. **Data Storage: Cloud Spanner (Horizontally Scalable Relational Database)**
• 58. Introduction to Cloud Spanner: Global Scale and Strong Consistency
• 59. Data Modeling Best Practices for Cloud Spanner
• 60. Integrating Spring Boot with Cloud Spanner
• 61. **Data Storage: Firestore (NoSQL Document Database)**
• 62. Firestore Data Modeling and Collections for Java Apps
• 63. Java Client Library for Firestore Operations
• 64. Spring Cloud GCP Firestore Integration for Data Access
• 65. Realtime Data Updates and Event Listeners with Firestore
• 66. **Data Storage: Cloud Bigtable (NoSQL Wide-Column Database)**
• 67. Use Cases and Architecture of Cloud Bigtable
• 68. Connecting Java Applications to Cloud Bigtable
• 69. **Data Storage: Memorystore (Managed Caching)**
• 70. Provisioning Memorystore for Redis Instances
• 71. Integrating Spring Boot with Memorystore for Distributed Caching
• 72. **Messaging & Eventing: Cloud Pub/Sub**
• 73. Introduction to Pub/Sub: Topics and Subscriptions
• 74. Publishing and Subscribing to Messages with Java Client Library
• 75. Spring Cloud GCP Pub/Sub Integration for Messaging
• 76. Advanced Pub/Sub: Dead-Letter Topics and Message Replay
• 77. **Messaging & Eventing: Cloud Tasks (Asynchronous Task Queue)**
• 78. Creating Task Queues and Enqueuing Tasks from Spring Boot
• 79. Processing Cloud Tasks with HTTP Targets
• 80. **Networking: Virtual Private Cloud (VPC)**
• 81. VPC Networks, Subnets, and Firewall Rules
• 82. Private Service Access and Private Google Access
• 83. **Networking: Global Load Balancing & CDN**
• 84. Configuring HTTP(S) Load Balancers for External Traffic
• 85. Internal Load Balancers for Microservice Communication
• 86. Cloud CDN for Content Delivery Optimization
• 87. **Security: Cloud IAM Advanced Concepts**
• 88. Implementing Least Privilege with Custom IAM Roles
• 89. Service Account Impersonation and Workload Identity
• 90. **Security: Secret Manager**
• 91. Storing and Managing Application Secrets Securely
• 92. Integrating Secret Manager with Spring Boot Applications
• 93. VPC Service Controls for Data Exfiltration Prevention
• 94. **Developer Tools: Cloud Source Repositories for Version Control**
• 95. **Developer Tools: Cloud Build (Continuous Integration for Java)**
• 96. Building and Testing Spring Boot Applications with Cloud Build
• 97. Automated Docker Image Builds and Pushing to Artifact Registry
• 98. Creating CI/CD Pipelines for Deployments to GKE, Cloud Run, App Engine
• 99. **Operations Suite: Cloud Logging for Java Applications**
• 100. Structured Logging Best Practices for Spring Boot Applications