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Saturday, August 15, 2020

GigaOM re File Storage to Scale

A project led me to this, saving it for later use.   Scaling should always be in your mind for problems.  Not that some projects are not one-off for tests, but it is also useful to think about scaling as well   A corporate project I did came back to me many years later, and we had to scurry to make it right.   In the final report you can make it clear how you have considered future conditions

Key Criteria for Evaluating Scale-Out File Storage v1.0
An Evaluation Guide for Technology Decision Makers    By Enrico Signoretti

File storage is one of the most popular ways to store data, both on premises and in the cloud, and scale-out file storage is becoming the default choice for most organizations because of its ability to expand quickly while increasing throughput. There are other reasons for the success of scale-out file storage:

Object storage is rising in popularity but file systems, often accessed via network protocols like NFS and SMB, are still the data storage system of choice for a large number of workloads, including big data analytics, artificial intelligence/machine learning (AI/ML), high-performance computing (HPC), and more.

Modern file systems are much more scalable than in the past, providing a familiar user interface and authentication methods with performance and scalability.

Legacy applications are usually written to work with POSIX-compliant file systems and multiple applications accessing the same data sets are quite common. Rewriting these old applications to take advantage of object stores is not always a viable option, so many end users keep investing in file storage. .... "   (Much more at the link) ... '

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