How can High Availability (HA) be achieved in a MuleSoft environment?

High Availability (HA) in a MuleSoft environment is best achieved by horizontally scaling to multiple Mule runtimes. This approach involves deploying multiple instances of the Mule application across different nodes or servers. By doing so, if one instance fails or experiences issues, other instances can continue to function, ensuring that the overall service remains available to users.

Horizontal scaling distributes the load among multiple nodes, allowing for not only improved reliability but also better performance under high demand. It protects against single points of failure, as the failure of one node does not bring down the entire service, thus maintaining system uptime and resilience.

The other options present strategies that do not provide the same level of availability. Implementing a single node architecture inherently introduces a single point of failure; if that node goes down, the entire application becomes unavailable. Local storage only for data processing limits the ability to efficiently handle high system demands and does not offer redundancy in case of failures. Disabling load balancing features can lead to uneven distribution of requests across nodes, which can create bottlenecks and can negatively affect performance and availability.