![]() ![]() ![]() Nearline Storage is a low-budget, durable storage solution for retaining data that is not often accessed. When employed in dual- or multi-region mode, you still receive maximum performance when using Google Cloud products, which are found in one of the related regions, yet you also receive the better availability derived from storing information in geographically distinct locations. Co-locating your resources optimizes the performance for in-depth data computations and could minimize network charges. When using Standard Storage in a single region, it is best to store data used by Compute Engine instances or Google Kubernetes Engine clusters running within the same region. Standard Storage is suitable for frequently accessed data (“hot” data) and/or kept only for limited time periods. Here are the tiers offered by Google Cloud Storage, from Standard Storage with the highest cost per GB-hour, to Archive Storage which has the lowest cost. Google Cloud Storage costs are largely determined by the storage tier you select for your data. Optimizing Google Cloud Storage Costs with Cloud Volumes ONTAP.Retrieval and early deletion of data is also subject to fees in the three archival tiers (but not in the Standard Storage tier). Google Cloud pricing for storage is affected by additional components, including network usage and operations carried out within the storage service. The main storage tiers in Google Cloud Storage are Standard Storage, Nearline Storage (for frequently accessed data), Coldline Storage (for cold data accessed once per year), and Archive Storage (for long-term archiving with the minimum duration starting at 365 days). Google Cloud Storage provides four tiers, and each offers different pricing and retrieval costs. Individual objects can also be assigned to a specific storage tier. ![]() A bucket is a cloud-based container that can be assigned one of several storage tiers. Google Cloud Storage is designed to group objects into buckets. How Do You Determine Google Cloud Storage Cost? ![]()
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