Manual Server Capacity Allocation: Predicting user numbers was challenging, leading to inefficient resource allocation.
Service Interruptions During Development: Servers had to be shut down for deployments, causing service downtime. This meant developers had to wake up in the middle of the night to fix issues.
With Kubernetes
Auto-Scaling: Automatically adjusts server resources based on traffic, ensuring flexible demand response.
Zero-Downtime Deployments: Enables safe deployments without interrupting service.
Self-Healing Systems: Enhances operational stability through automatic recovery from failures.