AWS Basic | Chapter 5: Deep Dive into Database Services by Prakhar Chauhan | Learn Smarter
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Chapter 5: Deep Dive into Database Services

Chapter 5: Deep Dive into Database Services

This chapter provides a comprehensive understanding of AWS database offerings, detailing how to set up and manage both relational and NoSQL databases. Key services like Amazon RDS and DynamoDB are explored, alongside backup, restore strategies, and methods for monitoring and performance tuning. Essential practices for ensuring data integrity, availability, and scalability are also outlined to support modern application needs.

23 sections

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  1. 5
    Deep Dive Into Database Services

    This section offers a thorough overview of AWS database services, including...

  2. 5.1
    Setting Up And Managing Rds Instances

    Amazon RDS simplifies the setup and management of relational databases,...

  3. 5.1.1
    What Is Amazon Rds?

    Amazon RDS is a managed service that simplifies the operation and scaling of...

  4. 5.1.2
    Why Use Rds?

    Amazon RDS offers a managed service for relational databases that simplifies...

  5. 5.1.3
    How To Launch An Rds Instance?

    This section provides a step-by-step guide on launching an Amazon RDS...

  6. 5.1.4
    Managing Rds Instances

    This section explores Amazon RDS, its advantages, how to launch an RDS...

  7. 5.1.5
    Real-World Use Case

    This section illustrates the practical application of Amazon RDS through a...

  8. 5.2
    Introduction To Dynamodb And Nosql Databases

    This section introduces Amazon DynamoDB, a managed NoSQL database service...

  9. 5.2.1
    What Is Dynamodb?

    DynamoDB is a fully managed NoSQL database service provided by AWS, designed...

  10. 5.2.2
    Key Differences Between Rds And Dynamodb

    This section highlights the fundamental distinctions between Amazon RDS and...

  11. 5.2.3
    How Dynamodb Works

    This section provides an overview of how Amazon DynamoDB operates,...

  12. 5.2.4
    Key Features Of Dynamodb

    DynamoDB is a fully managed NoSQL database service that offers seamless...

  13. 5.2.5
    Example Use Cases

    This section discusses practical applications of AWS database services,...

  14. 5.3
    Backup And Restore Strategies

    This section discusses the importance of backup and restore strategies for...

  15. 5.3.1
    Rds Backup Options

    This section outlines the various backup options available for Amazon RDS,...

  16. 5.3.2
    Dynamodb Backup Options

    This section outlines the backup options available for Amazon DynamoDB,...

  17. 5.3.3
    Best Practices For Backup And Recovery

    This section outlines essential strategies to ensure effective backup and...

  18. 5.4
    Monitoring And Performance Tuning

    This section provides insights into monitoring metrics and performance...

  19. 5.4.1
    Monitoring Rds With Cloudwatch

    This section discusses how to effectively use AWS CloudWatch to monitor...

  20. 5.4.2
    Performance Tuning For Rds

    Performance tuning for RDS focuses on optimizing database instances for...

  21. 5.4.3
    Monitoring Dynamodb

    This section focuses on monitoring Amazon DynamoDB using CloudWatch metrics...

  22. 5.4.4
    Performance Optimization For Dynamodb

    This section discusses performance optimization techniques for Amazon...

  23. 5.5

    This section summarizes the key topics covered in the chapter about AWS...

What we have learnt

  • How to launch, configure, and manage Amazon RDS relational database instances.
  • The fundamental concepts and advantages of DynamoDB, AWS’s serverless NoSQL database.
  • Backup and restore strategies crucial for protecting data integrity.
  • Methods to monitor database health and optimize performance to ensure reliable, scalable, and cost-effective database operations.

Key Concepts

-- Amazon RDS
A managed relational database service that simplifies the setup, operation, and scaling of a relational database in the cloud.
-- DynamoDB
A fully managed NoSQL database service optimized for fast performance and seamless scalability, utilizing a flexible schema-less data model.
-- Backup and Restore
Strategies to ensure data recovery and integrity, utilizing automated backups, manual snapshots, and point-in-time recovery.
-- Monitoring
Processes to track database performance metrics using services like AWS CloudWatch to maintain optimal database health.
-- Performance Tuning
Techniques to optimize database performance through instance selection, SQL query optimization, and using read replicas.

Additional Learning Materials

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