user
How did the project address past bottlenecks in the Kubernetes clusters?
assistant
The project addressed past bottlenecks by implementing HPA and Cluster Autoscaler, which dynamically adjusted resources based on demand. Additionally, fine-tuning load balancer configurations and setting up proactive monitoring helped identify and resolve issues before they impacted performance. The project addressed past bottlenecks through dynamic resource scaling, optimized load balancing, and proactive monitoring, ensuring smooth performance during high traffic volumes.