December 13, 2017

Tech Alert: Tips for Better Long-Term Data Retention in the Cloud

SANTA MONICA, Calif. – December 13, 2017 – Safeguarding business data will always be a high priority, and modern cloud and hybrid cloud environments offer a number of advantages for long-term data retention. However, they also bring their own challenges, including management, complexity, cost, and more.

Environments that include cloud storage can benefit from the following tips from experts at Aparavi, a developer of long-term data retention SaaS platforms for modern, multi-cloud architectures.

  1. Pain Points
    Drain on network bandwidth? Long migrations? Recovery times? Locked in to a sole service provider? Regulatory compliance? Most or all of the above? These are typical challenges with cloud backup/archive, each with its own long-term impact. Defining the specific problems of a current or proposed strategy will help identify the best technologies to solve them.

  1. Platform
    Traditional backup platforms still in use today were designed decades ago for sequential access devices like tape, and later reengineered for hard disk and then cloud as an afterthought. This flaw complicates how data is written to, stored, and retrieved from the backup target. Instead, a platform tailor-made for cloud storage offers native access, is easier to use and manage, and enables more flexible ‘future-proof’ deployment options such as multi-cloud.

  1. Policies
    All cloud data protection tools should operate automatically according to policies defined by administrators to eliminate the manual chores typical in conventional backup. In cloud and multi-cloud environments, policy-based control extends to sophisticated functions: switching to a more strategic or cost-effective cloud vendor based on the volume of data or its access patterns, or maintaining specific data only on local private resources, for example.

  1. Pruning
    Deduplication is a default, but newer data pruning technologies keep capacity usage in check by automatically removing files that are no longer needed, duplicate files, or files that should not be kept in the organization’s data stores. Because the costs of long-term cloud storage and archive grows as the data load grows, pruning reduces storage requirements over time and significantly lowers recurring costs.

  1. Price
    Cloud pricing and the as-a-service model give organizations the ability to avoid large capital expenses in favor of monthly billing. Accordingly these modern architectures should not require a large up-front investment. In many cases the initial capacity can even be free, and/or the product free to try, so administrators can evaluate whether it meets the organization’s needs before incurring any cost.

Backup is still vital, perhaps more than ever as the threats are more sophisticated, but the tactics have necessarily changed in a world where local and cloud storage combine, where data exists on multiple clouds and multiple providers. Following these steps – the ‘five Ps’ will help get cloud backup right.

Aparavi’s multi-tier and tenant SaaS platform was built from the ground up to protect data both stored and aggregated on multiple clouds and on premises. Aparavi certified devices and partners include AWS, Google Cloud Platform, Wasabi, IBM Bluemix, Scality, and Cloudian. Aparavi offers up to a terabyte free in perpetuity, with subscription costs of $999 per year for three terabytes. For a trial visit

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APARAVI is software-as-a-service for compliance-burdened companies with a desire for “any-cloud” data retention. Its cloud-forward solution puts the power back into the right hands with a RESTful API, policy engine, alongside an open data format, and a multi-tenant architecture. APARAVI’s purpose-built technology will, over time, greatly reduce an organization’s storage footprint compared to more traditional methods, while ensuring compliance policies are upheld for decades to come. APARAVI believes that with evolving global regulations and more data than ever being generated, organizations need long-term data retention across modern, multi-cloud architectures. For more information visit

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