- Implement Load Balancers: Use tools like NGINX, HAProxy, or cloud-based solutions to distribute traffic efficiently across multiple servers. - Auto-Scaling: Configure auto-scaling to dynamically add or remove server instances based on traffic demand. - Optimize Caching: Use caching mechanisms like CDN and in-memory caches (e.g., Redis) to reduce server load. - Monitor Performance: Continuously monitor server health and traffic patterns using tools like CloudWatch or New Relic. - Plan for Failover: Ensure redundancy with failover servers to handle unexpected spikes or server failures seamlessly. By leveraging these strategies, you ensure stability and an optimal user experience.

To balance server load during high traffic, implement the following strategies: 1. Load Balancers Use load balancers to distribute traffic across servers using algorithms like Round Robin, Least Connections, or IP Hash. 2. CDNs & In-Memory Storage CDNs: Offload static assets to reduce server load and improve global response times. In-Memory Storage: Use Redis/Memcached to cache frequent data reducing database dependency. 3. Database Bottlenecks Identify slow queries and high-latency issues using tools like Datadog. Add indexes and optimize queries. Use read replicas for load distribution. Implement sharding for scalability. Pool connections to manage database traffic.

To manage high traffic, implement load balancers like NGINX or AWS ELB to distribute traffic and use auto-scaling tools (AWS, Azure) to dynamically adjust server capacity. Optimize databases with indexing, read replicas, and query optimization, while leveraging caching (Redis, Memcached) and CDNs (Cloudflare) for faster content delivery. Break monolithic apps into microservices for scalable components and use queue systems (RabbitMQ) for asynchronous tasks. Monitor performance with tools like New Relic and set API rate limits. High availability with redundancy across regions ensures resilience. Caching, load balancing, and CDNs have been particularly effective for me.

To balance load across servers during high traffic: -Use a Load Balancer: Distribute traffic evenly with tools like Nginx, HAProxy, or AWS ELB. -Enable Auto-Scaling: Add servers automatically with cloud services like AWS or Kubernetes. -Optimize Sessions: Use Redis or sticky sessions to manage user data across servers. -Use a CDN: Offload static content to services like Cloudflare or AWS CloudFront. -Monitor and Test: Track server health and test for bottlenecks with tools like Grafana or JMeter. This ensures smooth scaling and performance.

When my web application faces high traffic, I use strategies from "The Phoenix Project" by Gene Kim to effectively balance the load: Load Balancing: I implement load balancers to distribute incoming requests evenly across multiple servers, preventing any single server from being overwhelmed. Auto-Scaling: I use auto-scaling to automatically add or remove servers based on traffic demands, ensuring resources are sufficient during peak times. Caching: I leverage caching to reduce load on the backend, serving frequently accessed content directly from the cache, which improves response times. These measures help maintain stability and performance even during heavy traffic.

To handle high traffic, implement load balancers to distribute traffic evenly across servers and prevent bottlenecks. Enable auto-scaling to dynamically adjust server capacity based on demand. Optimize your database with indexing and caching to reduce response times and alleviate server load. These steps ensure efficient resource utilization and maintain application performance under heavy loads.

First deploy the web application into multiple web servers with high configuration using at least 4-5 CPUs and required memory size to the server. Then try to implement the load balancer to distribute the request traffic between the servers based on count of users expected on the server.

Multiple Solutions we can implement: - best idea to manage load is to go with server less architecture with good topology to balance requests. - parallel scaling of servers and also having multiple caching system.

Something to add here. For high traffic website is important to have a massive CDN to load your assets close to the final user. Also having a decouple website will help with store the files in high availability storage. This 2 tips will improve your website balance and improve your speed.