Skip to content
FullStackDostFullStackDostLearn · Build · Level Up
  • All Courses
  • Updates
  • My Account
  • All Courses
  • Updates
  • My Account
  • Home
  • Full Stack Development

Cloud Services

Curriculum

  • 3 Sections
  • 38 Lessons
  • 6 Weeks
Expand all sectionsCollapse all sections
  • 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

Database Services

Azure offers a variety of managed database services to support different data storage and processing requirements. Here are some key Azure database services:

  1. Azure SQL Database:
    • Azure SQL Database is a fully managed relational database service based on the SQL Server engine. It provides built-in high availability, scalability, and security features, allowing users to focus on application development without worrying about infrastructure management.
  2. Azure Cosmos DB:
    • Azure Cosmos DB is a globally distributed, multi-model database service designed for building highly scalable and responsive applications. It supports multiple data models, including document, key-value, graph, and column-family, and offers guaranteed low-latency access to data worldwide.
  3. Azure Database for MySQL:
    • Azure Database for MySQL is a fully managed MySQL database service that offers high availability, automatic backups, and built-in security features. It enables users to deploy and manage MySQL databases in the cloud with ease, supporting popular MySQL features and extensions.
  4. Azure Database for PostgreSQL:
    • Azure Database for PostgreSQL is a fully managed PostgreSQL database service that provides enterprise-grade performance, scalability, and security. It supports the latest PostgreSQL versions and extensions, allowing users to run mission-critical PostgreSQL workloads in the cloud.
  5. Azure Database for MariaDB:
    • Azure Database for MariaDB is a fully managed MariaDB database service that offers high availability, automated backups, and enterprise-grade security features. It enables users to deploy and manage MariaDB databases in Azure with ease, supporting standard MariaDB features and extensions.
  6. Azure SQL Managed Instance:
    • Azure SQL Managed Instance is a fully managed SQL Server instance service that provides near-complete compatibility with on-premises SQL Server, including support for SQL Server features, compatibility levels, and migration scenarios. It offers built-in high availability, automated backups, and security features.
  7. Azure Cache for Redis:
    • Azure Cache for Redis is a fully managed, in-memory data store service based on the open-source Redis cache. It provides high-performance caching for improving application responsiveness and scalability, supporting use cases such as session management, caching, and real-time analytics.
  8. Azure Synapse Analytics:
    • Azure Synapse Analytics is a fully managed analytics service that enables users to analyze and process large volumes of data at scale. It integrates data warehousing, big data analytics, and data integration capabilities, allowing users to derive insights from structured and unstructured data sources.

These database services offer scalable, reliable, and secure solutions for storing, processing, and analyzing data in the cloud, enabling organizations to build modern applications, gain actionable insights, and drive business innovation.

Storage Services
Prev
Identity and Access Management
Next

Copyright © 2026 FullStackDost. All Rights Reserved.

Powered by EduPress