The AI functionality was driving up significant costs for tech infrastructure.
APIs experienced unresponsiveness and timeouts during sudden spikes in web traffic.
Transitioning from the existing tech stack to a new one was challenging due to a lack of expertise.
The production server was consistently running at 100% CPU utilization.
The analytics dashboard frequently encountered database corruption issues when processing large volumes of data.
DOS and DDoS attacks significantly hindered the manageability and performance of the platform.
Created an entirely new platform architecture and set up AWS Infrastructure to manage high infra costs and better scalability.
Implemented an internet-facing load balancer to route traffic to backend EC2 instances, addressing API instability during traffic surges.
Shifted from Amazon RDS to EC2, & implemented Packer with Ansible for smoother deployments & better performance.
Introduced master and slave servers, tuned slave parameters, and implemented IPv6 to alleviate server overload and enhance performance.
Created server backups and a failproof mechanism to ensure database availability, and upgraded Redash to address database corruption issues.
Implemented a VPN on the public server to filter out malicious traffic and integrated Sentry for error tracking to mitigate the impact of DOS and DDoS attacks.
50% reduction in overall costs through new platform architecture & AWS Infrastructure.
70% reduction in CPU utilization of the production server with optimized server operations and tuning.
80% reduction in malicious traffic through the implementation of a VPN and other security measures.
100% removal of DOS & DDoS attacks on the servers, ensuring uninterrupted service.
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.