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Mozark - Cloud Cost Optimization and Performance Enhancement

Client Overview​

  • Client: Mozark
  • Industry: Technology
  • Objective: Reduce AWS costs, enhance database performance, and create a scalable architecture.
  • Initial AWS Monthly Costs - $20,000
  • Optimized AWS Monthly Costs - $12,000

Approach​

1. Infrastructure Assessment​

We conducted a detailed assessment of Mozark's AWS infrastructure to identify inefficiencies and potential cost-saving opportunities. This included analyzing compute resources, storage, database configurations, and overall architecture.

2. DevOps Optimization​

a. EC2 Instance Right-Sizing and Upgrading​

  • Right-sized EC2 instances to better match workload requirements, ensuring optimal resource utilization.
  • Migrated instances from older Intel-based instances to newer AMD and Graviton instances, achieving better performance at a lower cost.

b. Cleanup of Unused Resources​

  • Conducted thorough cleanups of unused resources across multiple environments and accounts, including unattached EBS volumes, obsolete snapshots, and unused Elastic IPs.

3. Database Optimization​

a. Database Performance Tuning​

  • Performed extensive performance tuning on existing databases, including indexing, query optimization, and sharding strategies.

b. Rightsizing and Scaling​

  • Right-sized database instances based on actual usage patterns to optimize cost and performance.
  • Implemented auto-scaling solutions to handle varying loads dynamically, ensuring cost efficiency and performance.

c. Database Migration and Modernization​

  • Migrated databases to more cost-effective and scalable solutions like Amazon RDS and Aurora.
  • Upgraded database versions to leverage new features and performance improvements, ensuring compatibility and extended support.
  • Move to gp3 volumes from provisioned IOPS disk, achieving significant cost savings

d. Backup and Recovery Optimization​

  • Optimized backup strategies to reduce storage costs and improve recovery times.
  • Implemented automated backup and recovery solutions to enhance data protection and availability.

4. Additional Activities​

a. Savings Plans and Reserved Instances​

  • Purchased savings plans for EC2 instances to secure long-term cost reductions.
  • Implemented RIs for RDS to take advantage of significant savings over on-demand pricing.

b. Architecture Scalability Enhancements​

  • Redesigned the architecture to ensure scalability and flexibility, supporting future growth and peak loads.
  • Implemented microservices architecture where applicable to improve modularity and manageability.

5. Performance and Reliability​

a. Enhanced Monitoring and Alerting​

  • Implemented comprehensive monitoring and alerting solutions using AWS CloudWatch and third-party tools.
  • Set up automated alerting for critical events to ensure timely resolution and minimize downtime.

Results​

Cost Savings​

  • Initial Monthly Cost: $20,000
  • Optimized Monthly Cost: $12,000
  • Total Monthly Savings: $8,000 (approx. 40% reduction)

Performance Improvements​

  • Database Performance: Enhanced by an average of 50% through tuning and caching mechanisms.
  • Scalability: Improved architecture scalability to handle future growth and varying loads efficiently.

Reliability and Manageability​

  • Uptime: Achieved near-zero downtime through robust backup, recovery, and monitoring solutions.
  • Manageability: Enhanced through modular architecture and automated routine tasks.

Conclusion​

Through strategic optimizations on both the DevOps and DBA sides, Opstree successfully reduced Mozark's AWS costs by approximately 40%, while significantly enhancing database performance and creating a scalable architecture. This case study demonstrates Opstree's capability to deliver cost-effective and high-performance solutions tailored to client needs.

Future Plans​

Mozark plans to continue working with Opstree to further optimize their AWS infrastructure, focusing on continuous improvements and scalability to support their growing business requirements.