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MahdiSharifi
Real User
Technical Lead and Senior Java Developer at Novin High-Tech Solutions
Jul 06 2020

What is most valuable?

The most valuable feature is the ease of management and administration. I do not have a system administrator in my project, so the simplicity of management is important to me.

What needs improvement?

The monitoring capability is really bad and needs to be improved. There are no monitoring tools available and there are several metrics that I would like to keep track of. Without good usage… more»

What's my experience with pricing, setup cost, and licensing?

This is an open-source solution but I am using the licensed version.

Which solution did I use previously and why did I switch?

I used to use Red Hat Ceph Storage, but it is more complex than MinIO and very difficult to manage because I do not have a system administrator on my team.

What other advice do I have?

My advice for anybody who is implementing MinIO is to visit the website and view the documentation. It is very complete and is helpful. This is a good product choice for startups that don't have a… more»

Which other solutions did I evaluate?

When I began this project, I researched several options for storage that were alternatives to Red Hat Ceph. I found that MinIO is the best choice for this project because of the API support.

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MinIO Questions

What is MinIO?

MinIO is a high performance, distributed object storage system. It is software-defined, runs on industry standard hardware and is 100% open source under the Apache V2 license.

MinIO is different in that it was designed from its inception to be the standard in private cloud object storage. Because MinIO is purpose-built to serve only objects, a single-layer architecture achieves all of the necessary functionality without compromise. The result is a cloud-native object server that is simultaneously performant, scalable and lightweight.

While MinIO excels at traditional object storage use cases like secondary storage, disaster recovery and archiving, it is unique at overcoming the private cloud challenges associated with machine learning, analytics and cloud-native application workloads.

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