Ensure that the application is using auto-scaling to match demand in real time. Distribute incoming traffic evenly across multiple servers using load balancers Implement a CDN to cache static assets like images, JavaScript, and CSS files closer to end users. Make sure the payload is as small as possible by removing unnecessary data in you APIs

To tackle these issues, consider: 1. Auto Scaling: this entails putting your cloud resources such as compute and storage instances, in auto scaling groups. This will automatically add more resources to match the workload. It also scales down when the workload decreases, hence saving on costs. 2. Read replica: for write-heavy database transactions, consider using a read replica to increase performance. Read replicas offload read operations from the main database allowing it to focus only on write operations, hence reducing latency. 3. Manual intervention: consider provisioning instances with higher-tier storage, database, speed and compute capacity by manually selecting the specifications for your cloud resources. I hope this helps😊

Understand the reason for poor performance. Lot of factors might impact the performance - Poor coding ( Time complexity ) Try to optimize the code with less time complexity ( try to avoid O(n^2) time complex coding where ever possible ). Understand the time delays with help of logs - Caching & CDN Use CDN or caching techniques if web traffic is more - Scalability or Traffic issues If application is performing poor due to traffic issues, ensure that application is scalable (Load balancer). Analyze server requests for the reason - Firewall or security setting Analyze the network packet and ensure it is not blocked in any network routes (Traffic route of n/w packets). Firewall, NACL and security settings needs to be validated