Data storage and protection: predictions for 2022
- Published: Thursday, 16 December 2021 09:42
Scality has made various predictions for how the data storage and protection landscape will develop in 2022. The forecast homes in on how storage solutions will evolve to meet current challenges and how emerging technologies will impact the data storage landscape…
AI/MLOps becomes standard part of enterprise and mid-range storage products
The exponential growth of data coupled with an ongoing skills shortage is driving the need for increased automation in storage systems management. The integration of AI/MLOps into large-scale data processes will increasingly emerge to help administrators offload and automate processes – and to find and reduce waste and increase overall storage management efficiency. MLOps can monitor and provide predictive analytics for common manual tasks including capacity utilisation, pending component failures and storage inefficiencies. Higher value tasks can include determining application IO and performance patterns, to automatically adjust Quality of Service (QoS) and the underlying resources to deliver the needed service levels.
Sophisticated ransomware protection will become table stakes for storage solutions
Not only have we seen more ransomware attacks in 2021, but these attacks also have become bigger and more expensive. These attacks will cost an estimated $265 billion annually by 2031, with a new attack perpetrated every two seconds on average, according to Cybersecurity Ventures.
High value corporate data is at huge risk. In 2022, commercial data storage solutions will start to include more sophisticated, integrated mechanisms for earlier detection, prevention and recovery from attacks that delete, modify or encrypt stored data. Storage solutions will be combined with advanced application-level, server, and network security mechanisms to provide corporations with end-to-end solutions against cyberattacks across their IT stacks.
5G networks will enable increasing edge data capture and mobility, eliminating data gravity concerns
As the new generation of 5G network connectivity rolls out, it will have a direct impact on the emergence of data-rich applications deployed on the edge. Increasing bandwidth to and from the edge will also minimise the concerns of data gravity, a concern that data was becoming increasingly voluminous and costly to move. This will further spark the generation and consumption of data on the edge, but also promote data mobility across edge, cloud, and core data centre / center locations.
Technology and data sovereignty concerns to drive growth of regional service providers
Dependence on technology providers and cloud services based outside of their geographies is an increasing concern for global enterprises. Data sovereignty regulations, such as the Data Governance Act in the EU, are an indication of the acknowledged power of data and its increasing role as the emerging currency for digital transformation. Companies are struggling to keep track of the location of their data and meet compliance with local regulations. This will usher in an industry of local and regional service providers offering sovereign cloud services to captive markets by ensuring the data stays within specified borders.
On-premises data centres are here to stay as corporations refine their hybrid approaches
Even as public cloud investment continues, enterprises will maintain their corporate on-premises data centre infrastructure for reasons of control, performance, and cost-efficiency. This will lead to a new level of sophisticated IT management capabilities to optimise multi-data centre, multi-cloud application and data management solutions. Most enterprises today have realised that a smart, balanced, approach to applications and infrastructure across enterprise (private) data centres and public cloud services leads to the most optimal delivery of services, agility, best time-to-market, and cost efficiencies.