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Veeam Unveils Vision for the Hyper-Available Enterprise and Strategy

Veeam unveiled its vision for the Hyper-Available Enterprise and its strategy to guide enterprise customers on their journey to Intelligent Data Management.

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DQC Bureau
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Veeam Software

Veeam Software unveiled its vision for the Hyper-Available Enterprise and its strategy to guide enterprise customers on their journey to Intelligent Data Management at massive scale.  Delivered at VeeamON 2018, the company’s fourth annual user and partner conference, Veeam demonstrated how customers around the world are leveraging the Veeam Hyper-Availability Platform for Intelligent Data Management to ensure business continuity, reduce risk and accelerate innovation in an era where technologies ranging from IoT, AI, machine learning and blockchain require a platform with massive scalability and ease of use for managing data.

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The scale and complexity of managing the hyper-growth and hyper-sprawl of enterprise data today requires a new type of solution, one that moves from traditional policy-based data management to a more behavior-based system, so data can manage itself more autonomously and deliver critical business and operational insights at record speeds. Together with its ecosystem of more than 55,000 technology partners, the Veeam Hyper-Availability Platform is the most complete solution to help customers make this transition to Intelligent Data Management.

“Our fleet of 49 ships do not operate without data, and Veeam manages more than three Petabytes of data which will grow to nearly six Petabytes in the next 24 months,” commented Renata Kobylinski, Director of Hosting and Engineering Services at Royal Caribbean Cruises.  “We chose Veeam for its massive scalability, ease of use, and peace of mind to know that our data and systems will always be hyper-available.  Veeam will grow with us and allow us to spend more time focusing on delighting our customers and creating lifetime memories of an exceptional experience for them.”

Availability has been traditionally associated with business continuity and backup and recovery, to make sure organizations stay up and running. With increasing challenges in managing enterprise data, Hyper-Availability requires that data must evolve from basic Backup and Recovery solutions which mechanically copy data at prescribed intervals, to a much higher level of intelligence where data learns to respond instantly and appropriately to what actually happens anywhere across the enterprise data infrastructure. Data protection and data management must move from reactive insurance policies to a system that provides proactive business value.

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There are five stages on the journey to Intelligent Data Management for the Hyper-Available Enterprise:

  • Stage 1, Backup: Back up all workloads and ensure they are always recoverable in the event of outages, attack, loss, or theft.
  • Stage 2, Aggregation: Ensure protection and availability of data across multi-cloud environments to drive digital services and ensure the aggregated view of service level compliance.
  • Stage 3, Visibility: Improve management of data across multi-cloud environments with clear, unified visibility and control into usage, performance issues, and operations; data management begins to evolve from reactive to proactive, preventing any loss of data availability through advanced monitoring, resource optimization, capacity planning, and built-in intelligence.
  • Stage 4, Orchestration: Seamlessly move data to the best location across multi-cloud environments to ensure business continuity, compliance, security, and optimal use of resources for business operations. This requires an orchestration engine that enables enterprises to easily and non-disruptively execute, test, and document disaster recovery (DR) plans in a highly-automated fashion.
  • Stage 5, Automation: Data becomes self-managing by learning to back itself up, migrate to ideal locations based on business needs, secure itself during anomalous activity, and recover instantaneously. This stage brings new levels of automation to enterprise data management via a combination of data analysis, pattern recognition, and machine learning.

“As organizations digitally transform, market differentiation will increasingly focus on leveraging an application and data continuum that stretches from edge to core to cloud,” said Matt Eastwood, SVP at IDC. “With its vision for the Hyper-Available Enterprise, Veeam continues to recognize the intrinsic value that a multi-cloud environment represents and is delivering tools and technology that help customers achieve their full digital potential.”

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