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

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.

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Sections

  • 5

    Deep Dive Into Database Services

    This section offers a thorough overview of AWS database services, including RDS and DynamoDB, along with backup strategies and performance monitoring.

  • 5.1

    Setting Up And Managing Rds Instances

    Amazon RDS simplifies the setup and management of relational databases, offering automated services to developers and administrators.

  • 5.1.1

    What Is Amazon Rds?

    Amazon RDS is a managed service that simplifies the operation and scaling of relational databases in the cloud.

  • 5.1.2

    Why Use Rds?

    Amazon RDS offers a managed service for relational databases that simplifies setup, maintenance, and scalability in the cloud.

  • 5.1.3

    How To Launch An Rds Instance?

    This section provides a step-by-step guide on launching an Amazon RDS instance, detailing the necessary configurations and options.

  • 5.1.4

    Managing Rds Instances

    This section explores Amazon RDS, its advantages, how to launch an RDS instance, and management practices.

  • 5.1.5

    Real-World Use Case

    This section illustrates the practical application of Amazon RDS through a real-world e-commerce scenario.

  • 5.2

    Introduction To Dynamodb And Nosql Databases

    This section introduces Amazon DynamoDB, a managed NoSQL database service that provides flexible data models and automatic scaling.

  • 5.2.1

    What Is Dynamodb?

    DynamoDB is a fully managed NoSQL database service provided by AWS, designed for fast performance and scalability.

  • 5.2.2

    Key Differences Between Rds And Dynamodb

    This section highlights the fundamental distinctions between Amazon RDS and DynamoDB, focusing on their data models, scalability, and management features.

  • 5.2.3

    How Dynamodb Works

    This section provides an overview of how Amazon DynamoDB operates, highlighting its structure, features, and benefits as a NoSQL database service.

  • 5.2.4

    Key Features Of Dynamodb

    DynamoDB is a fully managed NoSQL database service that offers seamless scalability and ultra-fast performance.

  • 5.2.5

    Example Use Cases

    This section discusses practical applications of AWS database services, focusing on real-world scenarios that highlight the strengths of Amazon RDS and DynamoDB.

  • 5.3

    Backup And Restore Strategies

    This section discusses the importance of backup and restore strategies for AWS databases, detailing RDS and DynamoDB options.

  • 5.3.1

    Rds Backup Options

    This section outlines the various backup options available for Amazon RDS, emphasizing their importance for disaster recovery.

  • 5.3.2

    Dynamodb Backup Options

    This section outlines the backup options available for Amazon DynamoDB, emphasizing on-demand backups and Point-in-Time Recovery (PITR).

  • 5.3.3

    Best Practices For Backup And Recovery

    This section outlines essential strategies to ensure effective backup and recovery processes for AWS databases, emphasizing the importance of regular testing and scheduling.

  • 5.4

    Monitoring And Performance Tuning

    This section provides insights into monitoring metrics and performance tuning strategies for AWS database services.

  • 5.4.1

    Monitoring Rds With Cloudwatch

    This section discusses how to effectively use AWS CloudWatch to monitor Amazon RDS instances, focusing on key metrics and proactive maintenance strategies.

  • 5.4.2

    Performance Tuning For Rds

    Performance tuning for RDS focuses on optimizing database instances for improved efficiency and scalability.

  • 5.4.3

    Monitoring Dynamodb

    This section focuses on monitoring Amazon DynamoDB using CloudWatch metrics and emphasizes performance optimization strategies.

  • 5.4.4

    Performance Optimization For Dynamodb

    This section discusses performance optimization techniques for Amazon DynamoDB, including designing partition keys, using auto-scaling, and implementing caching with DAX.

  • 5.5

    Summary

    This section summarizes the key topics covered in the chapter about AWS database services, focusing on RDS, DynamoDB, backup strategies, and performance monitoring.

Class Notes

Memorization

What we have learnt

  • How to launch, configure, a...
  • The fundamental concepts an...
  • Backup and restore strategi...

Final Test

Revision Tests