Case Study: Cost Optimization for a Travel Portal on AWS

About Client

An online portal designed to offer to book intercity bus tickets, car rentals etc. The company's portal helps travelers compare bus tickets offered by each of the intercity bus operators in different countries

Problem Statement

The primary objective is to reduce AWS cloud billing by 20% while ensuring that existing services are not compromised:

• • Achieve a 20% reduction in AWS cloud billing costs while maintaining current service levels.
• • Identify and implement innovative strategies to optimize existing AWS services and reduce costs.
• • Optimize resource utilization to minimize unnecessary spending without compromising service performance.
• • Identify opportunities to consolidate, repurpose, or eliminate existing services to reduce costs.
• • Leverage automation wherever possible to streamline processes, reduce manual errors, and optimize resource allocation.
• • Implement continuous monitoring to gain real-time insights and proactively address cost-saving opportunities.

Solution

CloudTechner implemented a comprehensive cost optimization strategy for the travel portal platform on AWS, leveraging a combination of resource optimization, automation, and best practices to achieve significant cost savings while maintaining performance and reliability.

• • Analyzed resource utilization: Conducted a comprehensive analysis of server utilization to identify optimization opportunities.
• • Optimized instance purchasing: Recommended the purchase of reserved instances for predictable workloads to secure long-term discounts.
• • Rightsized hardware: Suggested appropriate hardware configurations based on workload requirements, ensuring efficient resource allocation.
• • Consolidated unused services: Identified and shut down services that were no longer in use, reducing costs and complexity.
• • Optimized storage: Implemented log rotation and retention policies to minimize storage costs, and migrated older, infrequently accessed data to S3 Glacier for cold storage.
• • Proactive monitoring: Set up alarms to monitor data storage usage and trigger timely actions to address potential issues.
• • Removed redundant resources: Identified and removed unused load balancers to reduce costs and improve efficiency.
• • Optimized scaling: Implemented scheduled autoscaling based on traffic patterns to ensure optimal resource utilization.
• • Reduced non-production costs: Shut down non-production instances during off-peak hours to minimize unnecessary expenses.
• • Optimized database replication: Confined RDS read replicas to single Availability Zones (AZs) to reduce costs while maintaining redundancy.
• • Improved content delivery: Configured CDNs to cache static content, reducing load on application servers and improving performance.

Results

CloudTechner's cost optimization strategies for the travel portal platform on AWS resulted in a 25% reduction in cloud costs, improved resource utilization, enhanced stability, reduced latency, and streamlined operations.

• • 25% Cost Reduction: Significantly reduced cost (25%+) through effective optimization strategies.
• • Optimized Resource Utilization: Ensured that hardware resources were allocated and utilized efficiently, minimizing waste and maximizing performance.
• • Improved Stability: Enhanced the overall stability and reliability of the environment, reducing downtime and improving user experience.
• • Reduced Latency: Implemented a CDN to cache static content, significantly reducing latency and improving website performance.
• • Enhanced User Experience: The CDN also contributed to an improved user experience by providing faster load times and reduced page load times.
• • Scalable and Stable Infrastructure: Established a highly scalable and stable infrastructure capable of handling fluctuating workloads without compromising performance.
• • Reduced Manual Errors: Automated key processes, significantly reducing manual errors and improving efficiency.
• • Matured Processes: Introduced a more mature and streamlined process for managing and optimizing the infrastructure.