Today, multi-cloud has become the new buzzword for IT teams. Thanks to volumes ofdata moving all around the multiple clouds, along with things like IoT networks, on-premises, social and mobile applications. However, the hybrid cloud strategies do notoften assure success unless it is developed on a strong data foundation from theground-up. When it comes to the data related communications that remain centeredaround different applications, it comes with undermining the data storage andinfrastructure layer. The modern-day businesses are required to have a well-integratedand holistic architecture, which aligns the data storage, applications and VMs thatencompass the multiple clouds seen over the premises. Let's dig in deep into Datamanagement on Multi-Cloud as under:
Establish Data Visibility - The cloud offers a simple mechanism to organizations allowingthem to leverage both new and existing sources of data. In an extra sensitive legal andregulatory landscape, the business should stick to the stringent compliancerequirements about data storage and management. Establishing global data visibility hasbecome one of the vital steps in allowing data accessible over the cloud platform ofchoice and yet going complaint, which does not put your business at risk. A majority oforganizations, therefore, put their on-premises secondary data stored like the rightcandidates for data migration to the cloud. However, for any average enterprise, morethan 50 percent of data is considered as “dark.”
Leverage software-defined storage - As per one of the studies carried out in 2014 byDigital Universe Study, a wide range of devices should have not grown over the past 200billion. Data from the Internet of Things remains the key contributor and is expected torise 44 zettabytes of the total data by 2020 all across the world. Also, you get theopportunity to mine and study the data to drive and put an impact on the new businessmodels. The key challenge comes in the form of addressing the requirements of datastorage in an affordable method both for the transactional and analytic workloads thatcome along with different performance and capacity requirements allowing you tocapitalize on the opportunities.
Prioritize data regulatory and compliance issues - Both the public and privateorganizations are seen facing the growing obligations when it comes to complying withseveral regulations like US Freedom of Information Act (FOIA), the regional laws and industry-specific data retention mandates and the European Union General DataProtection Regulation (GDPR). These regulatory requirements are backed by datasovereignty and nationalization endeavor that several companies all over the world aretasked to follow. All you need to do is to prioritize data regulatory and compliance issues.
For meeting daily business requirements, many global enterprises are now seen relyingupon the cloud infrastructure from a wide range of providers (like Azure, Google, AWS,or IBM). All you need is to offer effective solutions for the data and workloadmanagement for multi-cloud environments.