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Case StudyE-CommerceInfrastructure as Code

Achieving High Availability and Efficient Load Distribution Using AWS Cross-Zone Load Balancing

Optimized load distribution for an e-commerce company using AWS Cross-Zone Load Balancing, reducing latency by 25% and ensuring high availability.

4 min read
1 month
Achieving High Availability and Efficient Load Distribution Using AWS Cross-Zone Load Balancing

Technologies

AWS Application Load Balancer (ALB)Cross-Zone Load BalancingEC2 Auto ScalingMulti-AZ ArchitectureAWS CLI

Challenges

Uneven Load DistributionPerformance DegradationResource Underutilization

Solutions

Cross-Zone Load BalancingHigh AvailabilityResource Optimization

Key Results

Even traffic distribution across all EC2 instances

load distribution

25% reduction in latency during peak periods

latency reduction

Seamless failover during AZ failures

availability achievement

Optimized infrastructure costs with no idle servers

resource utilization

Achieving High Availability and Efficient Load Distribution Using AWS Cross-Zone Load Balancing

AMJ Cloud Technologies collaborated with a fast-growing e-commerce company to optimize their AWS-based web application using Cross-Zone Load Balancing. This case study showcases how we achieved balanced traffic distribution, improved performance, and ensured high availability.

Situation

The client, an e-commerce company serving thousands of users across multiple regions, hosted their web application on AWS with an Application Load Balancer (ALB) and EC2 instances across two Availability Zones (AZ-A and AZ-B). Despite the multi-AZ setup, they faced inconsistent server performance and slowdowns during peak traffic. With cross-zone load balancing disabled, AZ-A (with two instances) handled 50% of traffic, causing CPU spikes, while AZ-B (with four instances) was underutilized, leading to latency and timeouts.

Task

Our team was tasked with designing a solution to meet the following objectives:

  • Distribute traffic evenly across all EC2 instances, regardless of AZ.
  • Reduce latency and eliminate performance degradation during peak traffic.
  • Ensure high availability during AZ-specific incidents.
  • Optimize resource utilization to improve cost-efficiency.
  • Implement changes with minimal disruption to operations.

The project was executed by a team of cloud architects and DevOps engineers over a one-month timeline.

Action

To achieve these objectives, we enabled Cross-Zone Load Balancing on the client’s Application Load Balancer and validated the setup for performance and resilience:

  1. Load Balancer Reconfiguration:

    • Enabled Cross-Zone Load Balancing on the AWS Application Load Balancer using the AWS Console and AWS CLI.
    • Ensured traffic was distributed evenly across all registered EC2 instances, regardless of their AZ location.
  2. Instance Scaling Validation:

    • Verified that all EC2 instances in target groups were healthy and properly registered with the ALB.
    • Validated EC2 Auto Scaling configurations to ensure instances scaled appropriately during traffic surges.
  3. Testing Load Distribution:

    • Conducted simulated traffic tests to confirm even distribution across the six EC2 instances (two in AZ-A, four in AZ-B).
    • Monitored CPU utilization and response times to ensure balanced performance.
  4. Failover Testing:

    • Simulated an AZ-A failure to test the ALB’s ability to route traffic to healthy instances in AZ-B.
    • Confirmed seamless failover without manual intervention, ensuring high availability.

The team collaborated with the client to monitor metrics during rollout and fine-tuned configurations to optimize performance.

Result

The Cross-Zone Load Balancing implementation delivered significant outcomes:

  • Even Traffic Distribution Across All EC2 Instances: Each instance received ~16.7% of traffic, eliminating AZ-A overload.
  • 25% Reduction in Latency During Peak Periods: Improved response times and lower CPU utilization enhanced user experience.
  • Seamless Failover During AZ Failures: Maintained application uptime during simulated outages.
  • Optimized Infrastructure Costs with No Idle Servers: Improved resource utilization for predictable scaling.
  • Operational Simplicity: Quick implementation with minimal disruption.

This solution has become a reference for AMJ Cloud Technologies’ load balancing projects, showcasing our expertise in AWS high-availability architectures.

Technologies Used

  • AWS Application Load Balancer (ALB): Managed incoming traffic.
  • Cross-Zone Load Balancing: Enabled even traffic distribution.
  • EC2 Auto Scaling: Scaled instances dynamically.
  • Multi-AZ Architecture: Enhanced fault tolerance.
  • AWS CLI: Configured load balancer settings.

Key Use Cases

This architecture is suitable for:

  • E-commerce platforms with multi-AZ deployments.
  • Web applications requiring consistent performance during traffic spikes.
  • Enterprises seeking cost-efficient, high-availability solutions.

Ready to optimize your load balancing? Contact us to explore how AMJ Cloud Technologies can help.

Key Takeaways

This case study highlights the impact of AWS Cross-Zone Load Balancing in achieving efficient traffic distribution and high availability. By enabling a simple yet powerful feature, we enhanced performance, optimized resources, and ensured resilience for an e-commerce client. AMJ Cloud Technologies is dedicated to delivering practical cloud solutions for scalable architectures.

Architectural Diagram

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