Multi-cloud is on the rise. In some organisations, individuals and departments adopt various cloud solutions and services over a period of time, resulting in a gradual drift into a multi-cloud scenario. Other organisations deliberately assign workloads to both Microsoft Azure and AWS, seeking to reduce excessive reliance on either vendor, enhance flexibility, improve resiliency and mitigate exit strategy issues. In other cases, sovereignty regulations such as GDPR lead global companies to adopt multi-cloud strategies to keep data in local regions. Either way, multi-cloud is now so prevalent that it’s being referred to by some as the “new normal.”
However, multi-cloud raises challenges as well as benefits. Costs can run out of control, and management complexity can spiral as individuals and teams spin up workload after workload across the organisation, often without involving the IT department. Keeping track of what is under way, where, and for whom can become impossible.
Data and workload fragmentation sets in – silos, much like those we’ve seen for decades in the data centre, but now scattered across the cloud. Also, it’s not uncommon for IT to be unaware of the existence of certain cloud assets, much less where they all are, the resources they’re consuming or the benefits they’re delivering.