Z-axis scaling is mainly used by database systems for sharing data, and only a subset is handled by each of the servers. Partitioning of the data is another example of Z-axis scaling.
Since the IIoT application is already decomposed into multiple smaller services, scaling these services independently, and depending on the load, essentially means adding more instances and load balancing the requests to flow to these instances seamlessly. It is also recommended to scale the data stores and event hubs appropriately. Data stores can also use a scale out solution, which essentially means adding another node to the cluster, but in some cases we may have to scale up, which means adding more power to the existing box by upgrading the ...
