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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

Serverless Computing

Google Cloud Platform (GCP) provides several serverless computing services that enable developers to build and deploy applications without managing underlying infrastructure. Here are the key serverless computing services offered by GCP:

  1. Cloud Functions:
    • Cloud Functions is a serverless compute service that allows developers to run event-driven code in response to various cloud events or HTTP requests.
    • Developers can write functions in languages such as Node.js, Python, Go, and more.
    • Cloud Functions automatically scales up or down based on incoming traffic, and users are charged only for the resources consumed during function execution.
  2. Cloud Run:
    • Cloud Run is a managed serverless platform for running containerized applications.
    • It allows developers to deploy any stateless HTTP container to a fully managed environment, abstracting away infrastructure management.
    • Cloud Run automatically scales up or down to handle incoming requests and charges users only for the resources used by their applications.
  3. App Engine:
    • App Engine is Google Cloud’s fully managed Platform as a Service (PaaS) offering for building and deploying scalable web applications and APIs.
    • App Engine supports multiple programming languages including Python, Java, Node.js, Go, and more.
    • It automatically handles infrastructure provisioning, scaling, and load balancing, allowing developers to focus on writing code.
  4. Cloud Tasks:
    • Cloud Tasks is a fully managed service for managing and executing asynchronous tasks.
    • It allows developers to offload tasks from their applications and schedule them for execution asynchronously.
    • Cloud Tasks integrates seamlessly with other GCP services such as Cloud Functions, App Engine, and Compute Engine.
  5. Cloud Scheduler:
    • Cloud Scheduler is a fully managed cron job service that allows developers to schedule and automate recurring tasks.
    • It provides a reliable and scalable infrastructure for running scheduled jobs, such as triggering data pipelines, sending notifications, and executing batch processes.

These serverless computing services provided by Google Cloud Platform offer developers flexibility, scalability, and ease of management, allowing them to focus on building and deploying applications without worrying about infrastructure provisioning, scaling, and maintenance.

Mastering Container Services on Google Cloud Platform (GCP)
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