IBM Storage Ceph vs. Scale Computing Platform

Large scale data storage: Red Hat Ceph Storage is designed to be highly scalable and can handle large amounts of data. It's well suited for organizations that need to store and manage large amounts of data, such as backups, images, videos, and other types of multimedia content.Cloud-based deployments: Red Hat Ceph Storage can provide object storage services for cloud-based applications such as SaaS and PaaS offerings. It is well suited for organizations that are looking to build their own cloud storage infrastructure or to use it as a storage backend for their cloud-based applications.High-performance computing: Red Hat Ceph Storage can be used to provide storage for high-performance computing (HPC) applications, such as scientific simulations and other types of compute-intensive workloads. It's well suited for organizations that need to store

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Scale is best suited to environments that do not have excessive external or proprietary peripherals. Integrating with tape drive backups or robot tape libraries can be problematic. The most effective use of Scale systems is for companies running multiple instances of the same operating system. The hypervisor's code/file-sharing nature does an excellent job managing new instances while keeping the increase in storage to a minimum.

• Highly resilient, almost every time we attempted to destroy the cluster it was able to recover from a failure. It struggled to when the nodes where down to about 30%(3 replicas on 10 nodes)
• The cache tiering feature of Ceph is especially nice. We attached solid state disks and assigned them as the cache tier. Our sio benchmarks beat the our Netapp when we benchmarked it years ago (no traffic, clean disks) by a very wide margin.
• Ceph effectively allows the admin to control the entire stack from top to bottom instead of being tied to any one storage vendor. The cluster can be decentralized and replicated across data centers if necessary although we didn't try that feature ourselves, it gave us some ideas for a disaster recovery solution. We really liked the idea that since we control the hardware and the software, we have infinite upgradability with off the shelf parts which is exactly what it was built for.

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• Simplicity - I do not have to create storage buckets or micromanage anything.
• Efficiency - Lower power use since moving to a hyperconverged environment.
• Scalability - Adding additional hardware is easy, and increasing things like the amount of RAM or number of cores is easy.

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• GUI based mainetenence should be developed
• Unable to detect storage latencies
• VM to disk mapping should be visible so as to save some critical applications data in case of HDD failures

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• Dedicated Lights-Out Solution for low-end systems
• Ability to replace smaller storage drives with larger ones, rather than requiring the addition of an entire node for storage increases
• Different UI views for VMs: ability to minimize certain groups and have that persist through log-ins

Since I have had no issues with downtime; easier management of my cluster and the ability to lower the number of devices in my Infrastructure, I will gladly renew my support contract with Scale Computing HC3 and upgrade my equipment with them when it comes time for it.

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Everything you need to do is point-and-click easy. If you are the kind of admin who wants to edit every config file and endlessly customize your environment, then Scale may not be for you. On the other hand, if you just want it to work really well, and do what they told you it will do, then Scale is the ideal system.

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Never had an outage or an error. Once a hard drive failed, but Scale kept on working flawlessly without interruption.

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Performance has been just as outstanding as reliability. I have never experienced delays in any aspect of usage.

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They are very knowledgeable about their own products and hardware addressing my concerns or issues very quickly and on the first contact. Calls concerning VMware migrations and Acronis backup took a little more time for more complicated issues, but the Scale Computing Platform techs were diligent to stay on top of issues until they were resolved. Most of my issues have been with the initial setup/migration.

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I did not do in-person training.

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Because Scale is so simple, the training is just as quick and easy.

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The implementation was very easy. We had Scale support on standby and they were ready and eager to help if needed. The process went so fast the employees in the organization did not even know it was done.

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MongoDB offers better search ability compared to Red Hat Ceph Storage but it’s more optimized for large number of object while Red Hat Ceph Storage is preferred if you need to store binary data or large individual objects. To get acceptable search functionality you really need to compile Red Hat Ceph Storage with another database where the search metadata related to Red Hat Ceph Storage objects are stored.

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We previously used Microsoft Hyper V and VMWare and, before that, a room for single-purpose servers. My satisfaction with Scale is because it is a more straightforward product to install and use; it has incredible speed and reliability. In the past, getting support from Microsoft was labor intensive, and with VMWare, there was a language accent barrier.

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HC3 is one of the best products I have purchased for our district. It is unbelievably reliable to the point that they shoot themselves in the foot on support contracts.

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• Ceph allows my customer to scale out very fast.
• Ceph allows distributing storage objects through multiple server rooms.
• Ceph is fault-taulerant, meaning the customer can lose a server room and would still be able to access the storage.

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• With the high cost of the leading competitor the savings starts day one and saves every year after.
• Scale can be administered by a tier one technician so cost of labor is reduced.
• If there is a problem like a cyber attack, the savings kick in with the least amount of downtime.

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