Software Engineering Goal Templates Google Cloud Platform

Google Cloud Platform

Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, Google Drive, and YouTube.

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Use this learning plan to master GCP and build scalable and cost-effective solutions using cloud computing.
  1. Introduction to Cloud Computing and GCP
    • Understand the basics of cloud computing and its advantages.
    • Learn about the core services provided by Google Cloud Platform (GCP) and their use cases.
    • Familiarize yourself with GCP terminology, concepts, and the GCP Console.
  2. GCP Core Services
    • Gain in-depth knowledge of foundational GCP services, including:
      • Compute Engine for virtual machine provisioning and management.
    • Cloud Storage for scalable object storage.
    • Cloud SQL for managed relational databases.
    • Virtual Private Cloud (VPC) for networking and security.
    • Understand how to configure and utilize these services effectively.
  3. GCP Identity and Access Management (IAM)
    • Learn how to manage user accounts, roles, and permissions in GCP.
    • Understand IAM policies and best practices for securing GCP resources.
  4. GCP Networking
    • Explore GCP networking concepts, such as VPC, subnets, routes, and firewall rules.
    • Learn how to configure and manage network resources within GCP.
  5. GCP Serverless Computing
    • Understand the serverless computing paradigm and its benefits.
    • Learn how to use Google Cloud Functions for event-driven, serverless application development.
    • Explore other serverless services, such as Cloud Run and Cloud Pub/Sub.
  6. GCP Storage and Database Services
    • Deep dive into advanced storage and database services provided by GCP, including:
    • Cloud Firestore and Cloud Datastore for NoSQL database hosting.
    • Cloud Pub/Sub and Cloud Storage for messaging and file storage.
    • Cloud Spanner for globally distributed, horizontally scalable databases.
    • Learn how to choose and use the appropriate storage and database services for different use cases.
  7. GCP Deployment and Management
    • Gain proficiency in GCP Deployment Manager for infrastructure as code (IaC) deployments.
    • Explore GCP App Engine and Google Kubernetes Engine (GKE) for application deployment and management.
    • Learn about monitoring and logging services, such as Stackdriver Monitoring and Stackdriver Logging.
  8. GCP Security and Compliance
    • Understand GCP security best practices, including data encryption, network security, and access control.
    • Learn about GCP security services, such as Identity-Aware Proxy (IAP), Cloud Identity Platform, and Cloud Key Management Service (KMS).
    • Gain knowledge of GCP compliance programs and how to ensure compliance in GCP environments.
  9. GCP Cost Optimization and Billing
    • Learn how to optimize GCP resource usage and costs.
    • Understand GCP billing models, pricing structures, and cost management tools.
    • Explore strategies for cost optimization, such as rightsizing instances and utilizing GCP cost optimization services.
  10. GCP AI and Machine Learning Services
    • Explore GCP AI and machine learning services based on your specific needs and interests:
    • Cloud AI Platform for training and deploying machine learning models.
    • AutoML for automated machine learning capabilities.
    • BigQuery for analyzing large datasets with SQL-like queries.
  11. GCP Professional Cloud Architect Certification
    • Consider pursuing the Google Cloud Certified - Professional Cloud Architect certification to validate your GCP knowledge and skills.
    • Prepare for the certification exam by studying relevant documentation, whitepapers, and practice exams.

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