Besides resilience in communication, microservices also aim to improve service quality and availability. Applications should be able to scale and self-heal in cases of failures.

The use of container orchestration technology such as Kubernetes supports this approach. Pods that back logical services can be scaled up to handle more workload. The services balance the load between the containers. There are possibilities to auto-scale instances up or down based on the current workload on the cluster.

Kubernetes aims to maximize service uptime. It manages liveness and readiness probes to detect failures and potentially start new containers. In case of errors during deployments, it will leave currently running services untouched, until the new versions are able to serve traffic.

These approaches are managed by the runtime environment, not part of the application. It's advisable to minimize the non-functional, cross-cutting concerns within the enterprise application.