AWS In Practice
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  • Welcome to AWS In Practice by IT Assist Labs!
  • Courses
    • AWS Powered E-commerce Application: A Guided Tour
      • Lesson Learning Paths
        • Lesson Learning Paths - Certification Prep
        • Lesson Learning Paths - Interview Prep
      • Lesson Summaries
        • Introduction
          • E-commerce Application Architecture
        • Multi-Account Strategy
          • Multi-Account Strategy Overview
          • Organization Units
          • Core Accounts
        • Core Microservices
          • Services Overview
          • AWS Well-Architected design framework application
          • Site Reliability Engineering Application
          • DevOps Application
          • Monitoring, Logging and Observability Application
        • AWS Service By Layer
          • AWS Service By Layer Overview
          • Presentation Layer
          • Business Logic Layer
          • Data Layer
        • E-commerce Application Use Cases
          • E-commerce Application Use Cases
          • Roles
      • Lesson Content Navigation Demonstration
    • Explore a Live AWS Environment Powering an E-commerce Application
  • Resources
    • AWS Certification Guide
      • Concepts
        • Security, Identity & Compliance
          • AWS IAM-Related Concepts in Certification Exams
        • Design High-Performing Architectures
          • Designing a high-performing architecture with EC2 and Auto Scaling Groups (ASGs)
    • Insights
      • Zero Trust Architecture (ZTA)
      • Implementing a Zero Trust Architecture(ZTA) with AWS
      • The Modern Application Development Lifecycle - Blue/Green Deployments
      • Microservices Communication Patterns
    • Interview Preparation
      • AWS Solutions Archictect
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    • Use Cases
      • Multi-Region Resiliency with Active-Active Setup
        • Exploration Summary
    • Foundational Solutions Architect Use Cases
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    • Cloud Engineer / Cloud Developer
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    • Network Engineer (Cloud) Use Cases
    • Cost Optimization / FinOps Practitioner Use Cases
    • IT Operations / Systems Administrator Use Cases
  • Study Group
    • AWS Certified Solutions Architect - Associate
      • Study Guide Introduction
      • Domain 1: Design Secure Architectures
        • Task Statement 1.1: Design secure access to AWS resources
          • SecureCart's Journey
          • AWS Identity & Access Management (IAM) Fundamentals
          • AWS Security Token Service (STS)
          • AWS Organization
          • IAM Identity Center
          • AWS Policies
          • Federated Access
          • Directory Service
          • Managing Access Across Multiple Accounts
          • Authorization Models in IAM
          • AWS Control Tower
          • AWS Service Control Policies (SCPs)
          • Use Cases
            • Using IAM Policies and Tags for Access Control in AWS
        • Task Statement 1.2: Design Secure Workloads and Applications
          • SecureCart Journey
          • Application Configuration & Credential Security
          • Copy of Application Configuration & Credential Security
          • Network Segmentation Strategies & Traffic Control
          • Securing Network Traffic & AWS Service Endpoints
          • Protecting Applications from External Threats
          • Securing External Network Connections
          • AWS Network Firewall
          • AWS Firewall Manager
          • IAM Authentication Works with Databases
          • AWS WAF (Web Application Firewall)
          • Use Cases
            • AWS Endpoint Policy for Trusted S3 Buckets
            • Increasing Fault Tolerance for AWS Direct Connect in SecureCart’s Multi-VPC Network
            • Securing Multi-Domain SSL with ALB in SecureCart Using SNI-Based SSL
            • Configuring a Custom Domain Name for API Gateway with AWS Certificate Manager and Route 53
            • Application Load Balancer (ALB) – Redirecting HTTP to HTTPS
            • Security Considerations in ALB Logging & Monitoring
          • Amazon CloudFront and Different Origin Use Cases
          • Security Group
          • CloudFront
          • NACL
          • Amazon Cognito
          • VPC Endpoint
        • Task Statement 1.3: Determine appropriate data security controls
          • SecureCart Journey
          • Data Access & Governance
          • Data Encryption & Key Management
          • Data Retention, Classification & Compliance
          • Data Backup, Replication & Recovery
          • Managing Data Lifecycle & Protection Policies
          • KMS
          • S3 Security Measures
          • KMS Use Cases
          • Use Cases
            • Safely Storing Sensitive Data on EBS and S3
            • Managing Compliance & Security with AWS Config
            • Preventing Sensitive Data Exposure in Amazon S3
            • Encrypting EBS Volumes for HIPAA Compliance
            • EBS Encryption Behavior
            • Using EBS Volume While Snapshot is in Progress
          • Compliance
          • Implementing Access Policies for Encryption Keys
          • Rotating Encryption Keys and Renewing Certificates
          • Implementing Policies for Data Access, Lifecycle, and Protection
          • Rotating encryption keys and renewing certificates
          • Instance Store
          • AWS License Manager
          • Glacier
          • AWS CloudHSM Key Management & Zeroization Protection
          • EBS
        • AWS Security Services
        • Use Cases
          • IAM Policy & Directory Setup for S3 Access via Single Sign-On (SSO)
          • Federating AWS Access with Active Directory (AD FS) for Hybrid Cloud Access
      • Domain 2
        • Task Statement 2.1: Design Scalable and Loosely Coupled Architectures
          • SecureCart Journey
          • API Creation & Management
          • Microservices & Event-Driven Architectures
          • Load Balancing & Scaling Strategies
          • Caching Strategies & Edge Acceleration
          • Serverless & Containerization
          • Workflow Orchestration & Multi-Tier Architectures
        • Task Statement 2.2: Design highly available and/or fault-tolerant architectures
          • SecureCart Journey
          • AWS Global Infrastructure & Distributed Design
          • Load Balancing & Failover Strategies
          • Disaster Recovery (DR) Strategies & Business Continuity
          • Automation & Immutable Infrastructure
          • Monitoring & Workload Visibility
          • Use Cases
            • Amazon RDS Failover Events & Automatic Failover Mechanism
      • Domain 3
        • Task Statement 3.1: Determine high-performing and/or scalable storage solutions
          • SecureCart Journey
          • Understanding AWS Storage Types & Use Cases
          • Storage Performance & Configuration Best Practices
          • Scalable & High-Performance Storage Architectures
          • Hybrid & Multi-Cloud Storage Solutions
          • Storage Optimization & Cost Efficiency
          • Hands-on Labs & Final Challenge
        • Task Statement 3.2: Design High-Performing and Elastic Compute Solutions
          • SecureCart
          • AWS Compute Services & Use Cases
          • Elastic & Auto-Scaling Compute Architectures
          • Decoupling Workloads for Performance
          • Serverless & Containerized Compute Solutions
          • Compute Optimization & Cost Efficiency
        • Task Statement 3.3: Determine High-Performing Database Solutions
          • SecureCart Journey
          • AWS Database Types & Use Cases
          • Database Performance Optimization
          • Caching Strategies for High-Performance Applications
          • Database Scaling & Replication
          • High Availability & Disaster Recovery for Databases
        • Task Statement 3.4: Determine High-Performing and/or Scalable Network Architectures
          • SecureCart Journey
          • AWS Networking Fundamentals & Edge Services
          • Network Architecture & Routing Strategies
          • Load Balancing for Scalability & High Availability
          • Hybrid & Private Network Connectivity
          • Optimizing Network Performance
          • Site-to-Site VPN Integration for SAP HANA in AWS
        • Task Statement 3.5: Determine High-Performing Data Ingestion and Transformation Solutions
          • SecureCart Journey
          • Data Ingestion Strategies & Patterns
          • Data Transformation & ETL Pipelines
          • Secure & Scalable Data Transfer
          • Building & Managing Data Lakes
          • Data Visualization & Analytics
      • Domain 4
        • Task Statement 4.1: Design Cost-Optimized Storage Solutions
          • SecureCart Journey
          • AWS Storage Services & Cost Optimization
          • Storage Tiering & Auto Scaling
          • Data Lifecycle Management & Archival Strategies
          • Hybrid Storage & Data Migration Cost Optimization
          • Cost-Optimized Backup & Disaster Recovery
        • Task Statement 4.2: Design Cost-Optimized Compute Solutions
          • SecureCart Journey
          • AWS Compute Options & Cost Management Tools
          • Compute Purchasing Models & Optimization
          • Scaling Strategies for Cost Efficiency
          • Serverless & Container-Based Cost Optimization
          • Hybrid & Edge Compute Cost Strategies
          • AWS License Manager
        • Task Statement 4.3: Design cost-optimized database solutions
          • SecureCart Journey
          • AWS Database Services & Cost Optimization Tools
          • Database Sizing, Scaling & Capacity Planning
          • Caching Strategies for Cost Efficiency
          • Backup, Retention & Disaster Recovery
          • Cost-Optimized Database Migration Strategies
        • Task Statement 4.4: Design Cost-Optimized Network Architectures
          • SecureCart Journey
          • AWS Network Cost Management & Monitoring
          • Load Balancing & NAT Gateway Cost Optimization
          • Network Connectivity & Peering Strategies
          • Optimizing Data Transfer & Network Routing Costs
          • Content Delivery Network & Edge Caching
      • Week Nine
        • Final Review Session
        • Final Practice Test
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On this page
  • 📌 Events That Trigger an Automatic RDS Failover
  • 📌 SecureCart’s Amazon RDS Failover Strategy
  • 📌 Best Practices for SecureCart’s RDS Failover
  • 📌 Summary
  • Why Only Options D and E are Correct for Amazon RDS Automatic Failover?
  1. Study Group
  2. AWS Certified Solutions Architect - Associate
  3. Domain 2
  4. Task Statement 2.2: Design highly available and/or fault-tolerant architectures
  5. Use Cases

Amazon RDS Failover Events & Automatic Failover Mechanism

Amazon Relational Database Service (RDS) is designed for high availability and automatic failover to ensure minimal downtime during failures.

🔹 When does RDS perform automatic failover? ✔ When a Multi-AZ RDS deployment detects a failure, Amazon RDS automatically promotes the standby replica to the primary instance.

🔹 What happens during failover? ✔ The standby replica becomes the new primary. ✔ The CNAME (database endpoint) automatically updates to point to the new primary. ✔ Applications reconnect using the same database endpoint without manual intervention.


📌 Events That Trigger an Automatic RDS Failover

Amazon RDS automatically performs failover in the following scenarios:

Event Type

Description

Primary DB instance failure

The primary instance crashes due to an OS, hardware, or database engine issue.

Network connectivity loss

RDS detects the primary instance is unreachable due to network failures.

Availability Zone (AZ) failure

The AWS AZ hosting the primary instance becomes unavailable due to outages.

Software or hardware failure

The database server experiences an operating system crash, storage failure, or instance-level issue.

Planned maintenance or patching

AWS performs automatic patching or maintenance that requires a restart.

Manual failover initiation

A user manually triggers a failover using the AWS Console or CLI.

Storage volume failure

The primary instance’s EBS storage volume fails, triggering an automatic failover to the standby.


📌 SecureCart’s Amazon RDS Failover Strategy

🔹 Business Requirement: SecureCart ensures that customer orders, inventory, and transactions are always available, even in the event of an RDS failure.

🔹 How SecureCart Uses RDS Failover: ✔ Deploys Multi-AZ RDS for high availability. ✔ Uses Route 53 health checks to monitor RDS availability. ✔ Implements database connection retry logic in applications. ✔ Logs failover events in Amazon CloudWatch for real-time monitoring.

✅ Example Setup for SecureCart:

  • Primary RDS Instance: db-securecart-primary (us-east-1a)

  • Standby RDS Replica: db-securecart-standby (us-east-1b)

  • Database Endpoint: securecart-db.cluster-xyz.us-east-1.rds.amazonaws.com

  • Failover Process:

    1. The primary fails (e.g., AZ outage).

    2. AWS automatically promotes the standby.

    3. The database endpoint updates to the new primary.

    4. SecureCart applications automatically reconnect to the new instance.


📌 Best Practices for SecureCart’s RDS Failover

✅ Use Multi-AZ RDS for automatic failover capability. ✅ Implement database connection pooling to minimize downtime. ✅ Use read replicas for performance, but not failover (for RDS except Aurora). ✅ Monitor RDS failover events using Amazon CloudWatch & AWS EventBridge. ✅ Automate failover testing in a staging environment to ensure smooth transitions.


📌 Summary

🚀 SecureCart ensures database availability with: ✔ Multi-AZ RDS failover for high availability ✔ Automatic CNAME updates for seamless application recovery ✔ CloudWatch monitoring for proactive failover detection

Why Only Options D and E are Correct for Amazon RDS Automatic Failover?

Amazon RDS Multi-AZ deployments are designed for high availability (HA), meaning that failover occurs only when the primary database is impacted.

🔹 Understanding Amazon RDS Failover Scenarios

Failover happens ONLY when the primary database becomes unavailable, such as: ✔ Primary DB storage failure (Option D) ✔ Loss of availability in the primary Availability Zone (Option E)


📌 Explanation of Each Option:

Option

Explanation

Does it trigger failover?

A. Read Replica failure

Read Replicas are used for performance scaling, not for high availability. A failure does not affect the primary instance.

❌ No Failover

B. Compute unit failure on secondary DB instance

The secondary (standby) instance is not actively used until failover occurs. A failure of the standby instance does not impact the primary instance.

❌ No Failover

C. Storage failure on secondary DB instance

Similar to option B, Multi-AZ RDS does not failover if the standby instance fails. AWS recreates a new standby automatically.

❌ No Failover

✅ D. Storage failure on primary DB instance

If the primary storage volume fails, AWS fails over to the standby in another AZ.

✅ Yes, Triggers Failover

✅ E. Loss of availability in primary AZ

If the entire AZ hosting the primary instance goes down, failover happens to a standby in another AZ.

✅ Yes, Triggers Failover


🔹 Why Only D and E?

✔ Failover only occurs if the PRIMARY instance is affected. ✔ The standby instance does not impact failover—AWS will recreate it automatically. ✔ Read Replicas are not part of Multi-AZ failover—they serve a different purpose.


📌 Key Takeaways for SecureCart

✅ Ensure SecureCart’s production databases use Multi-AZ RDS for high availability. ✅ Use Read Replicas for read-heavy workloads, but not for failover. ✅ Monitor CloudWatch metrics (e.g., DatabaseConnections, WriteLatency) to detect primary failures. ✅ Design applications to handle failover by retrying connections to the database endpoint.

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Last updated 2 months ago