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You can scale capacity up and down on-demand. It offers really low latency and provides concurrent access to tens of thousands of clients with scalable and predictable performance up to hundreds of thousands of IOPS, tens of GB/s of throughput, and hundreds of TBs. Now, Filestore! As fully managed Network Attached Storage (NAS), Filestore provides a cloud-based shared file system for unstructured data. The use cases include flash optimized databases, host caching layers for analytics, or scratch disks for any application, as well as scale out analytics and media rendering. Local SSD is also block storage but it is ephemeral in nature, and therefore typically used for stateless workloads that require the lowest available latencies. Because of the high-performance options available, Persistent Disk is also a good storage option for databases.
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It is also used for rapid, durable backups of running VMs. The use cases of Persistent Disk include disks for VMs and shared read-only data across multiple VMs. I have covered persistent disk in detail in this article. Persistent Disk is a block store for VMs that offers a range of latency and performance options. Block storage can be directly accessed by the operating system as a mounted drive volume. With block storage, files are split into evenly sized blocks of data, each with its own address but with no additional information (metadata) to provide more context for what that block of data is. They are integrated with Compute Engine virtual machines and Kubernetes Engine. Persistent Disk and Local SSD are block storage options. Block storage-Persistent Disk and Local SSD
Ed store object storage archive#
Nearline, coldline and archive storage offer 99% availability and cost significantly less. It costs a bit more to use standard storage because it allows for automatic redundancy and frequent access options. Archive for data that you want to put away for years Coldline for data accessed roughly less than once a quarterĤ. Nearline for data access less than once a month accessģ. Multi-region for serving content globallyĢ. Regional / dual-regional locations for data accessed frequently / high throughput needs Standard buckets for high-performance, frequent access and highest availability: There are 4 storage classes that are based on budget, availability and access frequency.ġ. It is also widely used for disaster recovery because it takes practically no time to switch to a backup bucket to recover from a disaster. Or, use it to replace old physical tape records and move them over to cloud storage.
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You can also use it for storing backups and archives for compliance with regulatory requirements. It is also used for storing large amounts of data for use cases such as genomics and data analytics. Object store use cases include applications that need data to be highly available and highly durable, such as streaming videos, serving images and documents, and websites. The metadata could include all sorts of things about security classification of the file, the applications that can access it, and similar information. The objects stored have an ID, metadata, attributes, and the actual data. You can add data to it or retrieve data from it as often as you need. You would typically use it for any app, any type of data that you need to store, for any duration. Cloud Storage is an object store for binary and object data, blobs, and unstructured data.