The client’s database needed tuning, including indexing, query optimization, and sharding, to handle growing traffic and higher loads efficiently.
The existing AWS setup was over-provisioned, leading to inefficient resource utilization and unnecessary operational costs.
The client experienced slow API performance, affecting user experience and requiring caching, code refactoring, and the use of CDNs to reduce latency.
Regular service outages disrupted operations, calling for a solution to improve reliability, ensure high availability, and increase uptime.
Implemented advanced query optimization and indexing strategies, enhancing database performance and enabling the system to manage increased loads seamlessly.
Right-sized EC2 instances based on workload requirements, achieving cost savings while improving infrastructure efficiency.
Deployed AWS ElastiCache to cache frequently requested data, significantly reducing API latency and improving overall responsiveness.
Implemented multi-AZ deployments with AWS Elastic Load Balancer, ensuring high availability and fault tolerance, minimizing service disruptions.
Achieved a 50% reduction in AWS costs through strategic optimization, including instance right-sizing and performance tuning, leading to substantial operational savings.
Reduced API response times by an average of 40%, improving application responsiveness and significantly enhancing user experience.
Achieved 99% uptime by eliminating major outages, providing continuous service availability and reinforcing overall system reliability.
We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also disclose information about your use of our site with our social media, advertising and analytics partners. For more details click on learn more.