We were discussing data transfers in and out of Object Storage It is a limitless storage. It is used as-is in many deployments and scales to any workload with the help of monitoring over capacity. While it is easier to add a lot of disks when capacity runs low, it is not easy to reserve space for a high priority workload in preference to others under the same disk space. Even if the workload is just backup, there is no differentiation of one backup from another. Also, if the workloads are not supposed to be throttled, this can be an administrator only feature that enables them to classify storage pools for workloads. That said, the benefits of object storage are clear to all workloads which we enumerate below.
Object storage is a zero-maintenance storage. There is no planning for capacity and elastic nature of its services may be taken for granted. The automation of asynchronous writes, flush to object storage and sync of data in Connectors to that in object storage is now self-contained and packaged into this Connectors.
The cloud services are elastic, both the storage and the Connectors along with the compute necessary for these purposes can remain in the cloud enabling not just the same benefits to one application and client for an organization but to be universal across departments, organizations, applications, services and workloads.
Object storage coupled with this Connectors is also suited to dynamically address the needs for client and application because the former may have been a global store but the latter is able to determine the frequency depending on the workload. Different applications may tune the governing to its requirements.
Performance increases dramatically when the resources are guaranteed rather than commissioning them on demand. This has been one of the arguments for Connectors in general.
Such service is hard to mimic individually within each application or client. Moreover, optimizations only happen when the compute and storage are elastic where they can be studied, Connectors, and replayed independent of the applications.
The move from tertiary to secondary storage is not a straightforward shift from NAS storage to object storage without some form of chores over time. A dedicated product likes this takes the concern out of the picture.
Object storage is a zero-maintenance storage. There is no planning for capacity and elastic nature of its services may be taken for granted. The automation of asynchronous writes, flush to object storage and sync of data in Connectors to that in object storage is now self-contained and packaged into this Connectors.
The cloud services are elastic, both the storage and the Connectors along with the compute necessary for these purposes can remain in the cloud enabling not just the same benefits to one application and client for an organization but to be universal across departments, organizations, applications, services and workloads.
Object storage coupled with this Connectors is also suited to dynamically address the needs for client and application because the former may have been a global store but the latter is able to determine the frequency depending on the workload. Different applications may tune the governing to its requirements.
Performance increases dramatically when the resources are guaranteed rather than commissioning them on demand. This has been one of the arguments for Connectors in general.
Such service is hard to mimic individually within each application or client. Moreover, optimizations only happen when the compute and storage are elastic where they can be studied, Connectors, and replayed independent of the applications.
The move from tertiary to secondary storage is not a straightforward shift from NAS storage to object storage without some form of chores over time. A dedicated product likes this takes the concern out of the picture.
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