Top 3 Data & Storage Predictions for 2019

The global data storage market is expected to be valued at USD 144.76 Billion by 2022, at a CAGR of 16.76% between 2016 and 2022 and is experiencing staggering exponential growth. Most of this spend will go to Cloud and storage software solutions.

As 2019 begins, professionals in the data storage and management space are reevaluating the trends and errors of 2018 in order to prepare for the new year. Through this process, buyers learn which solutions are worth focusing on. Floyd Christofferson, SVP Products at StrongBox Data shares his top three predictions for what you can expect in 2019 in data and storage management.

1. Cross-platform Storage Automation

Large-scale data users are creating a growing demand for vendor-neutral solutions that can bring automation to managing data and storage resources in multi-vendor storage environments. This trend is driven by need to significantly remove complexity bridge data silos and eliminate vendor lock in. These emerging new solutions leverage the power of metadata to drive policy engines that automate workflows and can thus maximize both the value of data, and the efficiency of the storage platforms. Such solutions are a quantum leap beyond traditional HSMs and other data movers of the past. Such modern solutions are driven by rich metadata to meet the demands of AI/ML, improve ROI on storage resources, and to reduce OPEX and complexity for IT.

2. Leveraging AIOps for Storage

AIOps (Artificial Intelligence for IT Operations) is an emerging category that uses Big Data and machine learning technologies based on aggregating multiple layers of inputs to automate global IT actions. This trend is expanding beyond its traditional use cases for application performance and network monitoring to now include storage and data management tasks. AIOps for storage is made possible by aggregating multiple layers of metadata about files and storage platforms, the combination of which provides the context needed to automate management of both data and storage resources across any storage type from any vendor. In this way AIOps for Storage provides IT teams with the ability to:

  • Automate routine storage IT operations, including file copy management, data migration, data protection, tiering, active archiving, and more.
  • Quickly recognize and take action on serious issues driven by real-time feedback from the data and the storage platforms.
  • Implement global control across multiple locations and storage platforms.

AIOps for Storage will gain additional traction as IT teams leverage it to reduce storage costs and improve ROI while also reducing operational load on IT staff.

3. Hybrid Multi-Cloud with On-Prem Storage a Growing Need

It is no longer enough to simply have a “Cloud” strategy for managing off-premises data. Increasingly, IT managers realize they need a hybrid approach to data storage that will include a combination of on-premises and off-site data storage, but which does not lock them into a single Cloud storage provider. They need a way to simplify, accelerate, and automate global management of data across all storage types, including multiple public cloud providers. Data value changes over time, which means that data that might need to be an all flash array or NVMe platform today will need additional protection and lower cost storage options tomorrow. As storage choices proliferate for both on- and off-premises solutions, there will be an increasing need in 2019 and beyond to centrally manage and reduce complexity by automating policy-based data placement across a hybrid of multi-cloud and multiple on-premises storage types.

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