An insurance provider is implementing Anypoint platform to manage its application infrastructure and is using...

To address the reliability and scalability issues faced by the insurance provider, adding a load balancer and configuring additional servers in a cluster configuration is the optimal solution. Here's why:

Load Balancing: Implementing a load balancer will help distribute incoming API requests evenly across multiple servers. This prevents any single server from becoming a bottleneck, thereby improving the overall performance and reliability of the system.

Cluster Configuration: By setting up a cluster configuration, you ensure that multiple servers work together as a single unit. This provides several benefits:

High Availability: If one server goes down, the load balancer can redirect traffic to other available servers in the cluster, minimizing downtime.

Scalability: Additional servers can be added to the cluster to handle increased load as the business grows.

Fault Tolerance: Clustering allows for automatic failover and recovery, ensuring that applications remain available even if one server fails.

Maintenance: With a cluster configuration, servers can be taken offline for maintenance one at a time without affecting the overall availability of the applications, as the load balancer can redirect traffic to the remaining servers.

VM Queues and Object Stores: In a clustered environment, the use of VM queues and object stores can be more efficiently managed as these resources are distributed across multiple servers, reducing the risk of contention and improving throughput.