One effective strategy is to utilize Azure's auto-scaling feature to automatically adjust the number of instances based on the workload. This helps ensure optimal performance during peak traffic periods and saves costs during low demand. Additionally, Azure Front Door can be employed to distribute incoming traffic to multiple backend instances, improving application response times.

Another approach to improve scalability and performance is by containerizing web applications using Azure Kubernetes Service (AKS). Containerization provides better resource utilization, easier scaling, and flexibility in deploying microservices. AKS also offers features like horizontal pod autoscaling to automatically adjust the number of instances based on CPU usage and custom metrics.

In addition to the aforementioned strategies, a useful feature to explore is Azure App Service's deployment slots. Deploying web applications to slots allows for seamless testing and staging environments, ensuring the application is thoroughly tested before being pushed to production. Deployment slots also offer the ability to roll back to a previous version if any issues are encountered after deployment.

While auto-scaling, Azure Front Door, and Azure CDN are effective solutions, another consideration is implementing Azure Traffic Manager. Traffic Manager enables the distribution of traffic across multiple Azure regions, ensuring high availability and improved performance by directing users to the nearest region. Additionally, using Azure Redis Cache can greatly enhance performance by caching frequently accessed data and reducing the load on the backend instances.

In addition to auto-scaling and Azure Front Door, another approach is to leverage Azure CDN (Content Delivery Network) to cache static content closer to the users, reducing latency and improving the overall performance. Furthermore, Azure Application Insights can be used to gain deep insights into the performance of web applications, analyzing factors such as response times, dependencies, and bottlenecks.