As data centers become more physically and logically distributed across multiple infrastructure domains, including on-premises, colocation, public cloud and edge infrastructure, infrastructure and operations (I&O) leaders need to analyze whether to move mission-critical applications to the public cloud or adopt the hybrid cloud IT operations platform which the storage and compute vendors provide.
The hybrid cloud IT model is the best way to get the benefits of using the cloud while still having control over your IT decisions. It enables you to shift costs from capital expenditure (capex) to operating expenditure (opex). Its vendor life cycle management capabilities free I&O leaders from hardware administration, maintenance and support.
I&O leaders need to work with platform ecosystem partners to create value for internal customers and lay the foundation for a rapid shift. This can be done by unlocking advanced and emerging storage capabilities.
Storage trends as a result of the cloud will have an impact on I&O operating models, storage and data management technologies, processes, people, and metric-based service-level agreements (SLAs). Hybrid multicloud and multidomain architectures continue to define enterprise storage infrastructures.
The increasing risk of security breaches has forced organizations to adopt proactive data management practices. The backup and data management complexity in a hybrid world, and ransomware and backup security concerns are forcing I&O leaders to rearchitect their backup infrastructure.
Strategic roadmap overview for storage
How can I&O leaders automate their storage systems and adopt the cloud model?
- Use artificial intelligence for IT operations (AIOps) tools from storage management vendors to reduce the need for people who work only on storage. You can also use these tools to help manage hardware and make IT work better.
- To avoid deploying a siloed file-and-object-storage-only solution, select a unified platform that has capabilities and features to address a broad set of unstructured data use cases.
- Use a consumption based Storage as a Service (STaaS) delivery model to align lifetime asset costs with usage value and replace inefficient capex procurement methods and labor-intensive budgeting processes.
- Reduce serious data extortion events by implementing active cybersecurity defense capabilities capable of detecting and safeguarding against terrible ransomware attacks.
- To avoid information compliance and governance risks, select data governance and management solutions with policy-based and artificial intelligence (AI)/machine learning (ML)-enabled data classification capabilities.
Source: Gartner
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