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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

Database Services

Amazon Web Services (AWS) offers a comprehensive suite of managed database services designed to meet the diverse needs of modern applications, from small-scale projects to enterprise-grade workloads. These database services provide scalable, reliable, and cost-effective solutions for storing, managing, and analyzing data in the cloud. Here are some key AWS database services:

  1. Amazon Relational Database Service (RDS):
    • Description: RDS is a fully managed relational database service that supports multiple database engines, including MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and Amazon Aurora.
    • Features: RDS handles routine database management tasks such as provisioning, patching, backup, recovery, and monitoring, allowing users to focus on application development rather than database administration.
    • Scalability: RDS offers scalable compute and storage resources, allowing users to easily scale their database instances up or down based on demand.
    • High Availability: RDS provides automated failover and multi-AZ deployments for high availability and fault tolerance, ensuring that databases remain accessible and reliable even in the event of hardware or network failures.
  2. Amazon Aurora:
    • Description: Aurora is a fully managed relational database engine compatible with MySQL and PostgreSQL, offering enhanced performance, scalability, and availability compared to traditional database engines.
    • Features: Aurora provides features such as multi-AZ replication, automated failover, read replicas, and continuous backup and recovery, delivering high performance and reliability for mission-critical workloads.
    • Performance: Aurora is designed for high performance, with up to five times better performance than standard MySQL databases and up to three times better performance than standard PostgreSQL databases.
    • Scalability: Aurora supports auto-scaling and storage auto-scaling, allowing databases to scale compute and storage resources dynamically to accommodate changing workloads.
  3. Amazon DynamoDB:
    • Description: DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability and low latency.
    • Features: DynamoDB offers features such as automatic scaling, built-in security, multi-region replication, backup and restore, and fine-grained access control, making it suitable for a wide range of use cases, from web applications to gaming and IoT applications.
    • Scalability: DynamoDB scales seamlessly to handle any amount of traffic and data, with automatic partitioning and distribution of data across multiple nodes for high availability and performance.
    • Flexible Data Models: DynamoDB supports both key-value and document data models, allowing users to store and retrieve structured, semi-structured, and unstructured data efficiently.
  4. Amazon Redshift:
    • Description: Redshift is a fully managed data warehousing service that allows users to analyze large datasets using SQL queries and business intelligence tools.
    • Features: Redshift offers features such as columnar storage, parallel query execution, automated backups, encryption, and integration with popular BI tools like Tableau, Looker, and Power BI.
    • Scalability: Redshift scales easily from gigabytes to petabytes of data, with automatic distribution and parallel processing of queries across multiple nodes for fast query performance.
    • Performance: Redshift delivers fast query performance for complex analytical queries, with up to three times better price-performance compared to traditional data warehousing solutions.
  5. Amazon ElastiCache:
    • Description: ElastiCache is a fully managed in-memory caching service that helps improve application performance by caching frequently accessed data in memory.
    • Features: ElastiCache supports popular caching engines such as Redis and Memcached, with features like data persistence, automatic failover, encryption, and scaling.
    • Performance: ElastiCache provides sub-millisecond latency for cached data access, enabling applications to retrieve data quickly and reduce database load.
    • Scalability: ElastiCache scales horizontally to accommodate growing data and traffic volumes, with support for sharding and auto-discovery of cache nodes.

These are just a few examples of AWS database services, and AWS continues to innovate and expand its portfolio to meet the evolving needs of customers. With its wide range of managed database services, AWS provides developers and businesses with the tools they need to build scalable, reliable, and high-performance database solutions in the cloud.

Storage Services (S3)
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