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Cloud Services

Curriculum

  • 3 Sections
  • 38 Lessons
  • 6 Weeks
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  • Amazon Web Services (AWS)
    Amazon Web Services (AWS) is a comprehensive and widely used cloud computing platform provided by Amazon.com. It offers a broad range of cloud services, including computing power, storage options, networking capabilities, databases, machine learning, artificial intelligence, analytics, security, and more.
    8
    • 1.1
      Compute Services (EC2): Your First Virtual Server
      45 Minutes
    • 1.2
      Storage Services (S3)
      35 Minutes
    • 1.3
      Database Services
      40 Minutes
    • 1.4
      Networking Services
      40 Minutes
    • 1.5
      Machine Learning and AI Services
      60 Minutes
    • 1.6
      AWS Analytics Services: Unlocking Data Insights
      45 Minutes
    • 1.7
      Security and Identity Services
      50 Minutes
    • 1.8
      Developer Tools
      120 Minutes
  • Azure Cloud Services
    Azure, Microsoft's cloud computing platform, offers a wide range of services for building, deploying, and managing applications and services through Microsoft-managed data centers.
    18
    • 2.1
      Mastering Azure Compute Services: Your Cloud Application Engine
      40 Minutes
    • 2.2
      Networking Services
      120 Minutes
    • 2.3
      Networking Services
    • 2.4
      SQL Database
      60 Minutes
    • 2.5
      Storage Services
      40 Minutes
    • 2.6
      Database Services
      120 Minutes
    • 2.7
      Identity and Access Management
      120 Minutes
    • 2.8
      Security Services
      60 Minutes
    • 2.9
      Monitoring and Management
      80 Minutes
    • 2.10
      Development Tools
      50 Minutes
    • 2.11
      Azure AI & Machine Learning: Empowering Your Full-Stack Applications
      140 Minutes
    • 2.12
      Internet of Things (IoT)
      100 Minutes
    • 2.13
      Unlocking Insights: Analytics and Big Data in Azure
      120 Minutes
    • 2.14
      Developer Tools
      50 Minutes
    • 2.15
      Containers and Serverless Computing: Modernizing Your Azure Applications
      120 Minutes
    • 2.16
      Web and Mobile Services
      60 Minutes
    • 2.17
      Enterprise Integration
      100 Minutes
    • 2.18
      Blockchain Services on Azure: Building Decentralized Solutions
      140 Minutes
  • Google Cloud Platform (GCP)
    Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google, covering various computing resources such as compute power, storage, databases, machine learning, networking, and more. GCP provides businesses and developers with a range of tools and services to build, deploy, and manage applications and services on Google's infrastructure.
    12
    • 3.1
      Compute Services in Google Cloud Platform
      40 Minutes
    • 3.2
      Mastering Container Services on Google Cloud Platform (GCP)
      100 Minutes
    • 3.3
      Serverless Computing
      120 Minutes
    • 3.4
      Storage Services
      90 Minutes
    • 3.5
      Networking Services
      110 Minutes
    • 3.6
      GCP Big Data & Analytics Services: Unlocking Data Insights
      85 Minutes
    • 3.7
      Machine Learning and AI Services
      145 Minutes
    • 3.8
      Developer Tools
      120 Minutes
    • 3.9
      Identity and Access Management
      140 Minutes
    • 3.10
      Security Services
      150 Minutes
    • 3.11
      Internet of Things (IoT) Services
      120 Minutes
    • 3.12
      Monitoring and Management
      60 Minutes

Storage Services

Google Cloud Platform (GCP) offers a variety of storage services to meet the needs of different use cases, ranging from object storage to managed databases. Here are the key storage services provided by GCP:

  1. Cloud Storage:
    • Cloud Storage is a scalable and durable object storage service for storing and retrieving any amount of data.
    • It offers multiple storage classes optimized for different use cases, including Standard, Nearline, Coldline, and Archive.
    • Cloud Storage provides features such as lifecycle management, versioning, and object-level access controls.
  2. Cloud SQL:
    • Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server.
    • It automates database provisioning, maintenance, backups, and updates, allowing developers to focus on building applications.
    • Cloud SQL offers features such as automatic failover, read replicas, and point-in-time recovery.
  3. Cloud Bigtable:
    • Cloud Bigtable is a fully managed NoSQL database service for real-time analytics and high-throughput applications.
    • It is designed to handle large volumes of data with low latency and high scalability.
    • Cloud Bigtable is ideal for use cases such as time-series data, IoT telemetry, and ad tech.
  4. Cloud Firestore / Cloud Datastore:
    • Cloud Firestore and Cloud Datastore are fully managed NoSQL document databases for building scalable and flexible applications.
    • They offer features such as real-time data synchronization, automatic scaling, and hierarchical data modeling.
    • Cloud Firestore is the next generation of Cloud Datastore, offering additional features such as multi-region replication and strong consistency.
  5. Persistent Disk:
    • Persistent Disk is a high-performance block storage service for virtual machine instances on Google Cloud.
    • It offers both standard and SSD persistent disks with features such as snapshots, resizing, and encryption.
    • Persistent Disk integrates seamlessly with Compute Engine for storing data persistently across VM instances.
  6. Filestore:
    • Filestore is a managed file storage service for running applications that require a file system interface.
    • It offers both NFS-based file shares (Filestore Standard) and high-performance file shares (Filestore Premium) for enterprise workloads.
    • Filestore is suitable for use cases such as content management, developer environments, and analytics pipelines.

These storage services provided by Google Cloud Platform offer developers and organizations flexibility, scalability, and reliability when it comes to storing and managing data in the cloud.

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