As you can understand from the EBS name, this is a block storage in the cloud that is the analog of hard disk drives in physical computers. Amazon Drive has a smaller range of features than Amazon S3.
Amazon Drive is positioned as a storage service in the cloud to back up photos and other user data. Amazon S3 cloud storage is an object-based storage service. You cannot install an operating system when you use Amazon S3 storage because data cannot be accessed on the block level as it is required by an operating system. If you need to mount Amazon S3 storage as a network drive to your operating system, use a file system in userspace.
Read the blog post about mounting S3 cloud storage to different operating systems. Google Cloud is the analog of Amazon S3 cloud storage. If you are going to use Amazon S3 for the first time, some concepts may be unusual and unfamiliar for you. Methodology of storing data in S3 cloud is different from storing data on traditional hard disk drives, solid state drives or disk arrays. Below is an overview of the main concepts and technologies used to store and manage data in Amazon S3 cloud storage.
As explained above, data in Amazon S3 is stored as objects. This approach provides highly scalable storage in the cloud. Objects can be located on different physical disk drives distributed across a datacenter. Special hardware, software, and distributed file systems are used in Amazon datacenters to provide high scalability.
Redundancy and versioning are features implemented by using the block storage approach. When a file is stored in Amazon S3 as an object, it is stored in multiple places such as on disks, in datacenters or availability zones simultaneously by default. Amazon S3 service regularly checks data consistency by checking control hash sums.
If data corruption is detected, the object is recovered by using the redundant data. Objects are stored in Amazon S3 buckets. By default, objects in Amazon S3 storage can be accessed and managed via the web interface. Object storage is a type of storage where data is stored as objects rather than blocks. This concept is useful for data backup , archiving, and scalability for high-load environments. Objects are the fundamental entities of data storage in Amazon S3 buckets.
There are three main components of an object — the content of the object data stored in the object such as a file or directory , the unique object identifier ID , and metadata.
Metadata is stored as key-pair values and contains information such as name, size, date, security attributes, content type, and URL. Each object has an access control list ACL to configure who is permitted to access the object. Amazon S3 object storage allows you to avoid network bottlenecks during rush hour when traffic to your objects stored on S3 cloud storage increases significantly. Amazon provides flexible network bandwidth but charges for network access to the stored objects.
Object storage is good when a high number of clients must access the data high read frequency. Search through metadata is faster for the object storage model. Read also about Amazon S3 encryption that can help you protect data stored in Amazon S3 cloud storage and enhance security. A bucket is a fundamental logical container where data is stored in Amazon S3 storage.
You can store an infinite amount of data and unlimited number of objects in a bucket. Each S3 object is stored in a bucket. There is a 5 TB limitation for the size of one object stored in a bucket. Buckets are used to organize namespace at the highest level and are used for access control.
An object has a unique key after it has been uploaded to a bucket. This key is a string that imitates a hierarchy of directories. Knowing the key allows you to access the object in the bucket. A bucket, key, and version ID identify an object uniquely.
For example, if a bucket name is blog-bucket01 , the region where datacenters store your data is located is s3-eu-west-1 and the object name is test1. Permissions must be configured by editing object attributes if you want to share objects with other users.
Similarly, you can create a TextFiles folder and store the text file in that folder:. You can select the region you want when creating a bucket. It is recommended that you select a region that is closest to you or to your customers to provide lower latency for a network connection or minimize costs because the price for storing data is different depending on the region.
Data stored in a certain AWS region never leaves the datacenters of that region until you migrate the data manually. AWS Regions are isolated from each other to provide fault tolerance and stability. At least three Availability Zones are available for each region to prevent failures caused by disasters such as fires, typhoons, hurricanes, floods, and so on.
The read-after-write consistency check is performed for objects stored in Amazon S3 storage. Watch our On-Demand Webinar. Topics: Cloud. Request Demo. Turbonomic Blog.
There are three tiers of S3 Storage available: S3 Standard - Durable, immediately available suitable for frequently accessed data. By default, data stored in S3 is written across multiple devices in multiple locations providing resiliency. SLA: How does S3 Storage work? Subscribe Here! There is no limit on the number of objects you can store in a bucket. When you create a bucket, you choose the AWS region where it will be stored.
Objects that live in a bucket within a specific region remain in that region unless you transfer those files. No other AWS account in the same region can have the same bucket names as yours until you delete those buckets.
The console is an intuitive, browser-based graphical user interface for interacting with AWS services. This is where you can create, configure and manage a bucket and upload, download and manage storage objects.
The Amazon S3 console allows you to organize your storage using a logical hierarchy driven by keyword prefixes and delimiters. These form a folder structure within the console so you can easily locate files.
It works because every Amazon S3 object can be uniquely addressed through the combination of the web service endpoint, bucket name, key, and optionally, a version. The management console is also where you can set access permissions for all of your buckets and objects. AWS has built this tool with a minimal features set that delivers big advantages. Often, storage providers offer predetermined amounts of storage and network transfer capacity, similar to what some cell phone or cable providers do with data and bandwidth usage.
If you exceed your limit, the provider will charge pricey overage fees or get your service shut off until the next billing cycle begins.
Amazon S3 charges you only for what you actually use. There are no hidden fees or overage charges. This service allows you to scale your storage resources up and down so that you can meet fluctuating demands when you need them. This means you can access your data quickly when you need it.
These range from the most expensive level where you access your mission-critical files immediately to the lowest cost level, which is for files you rarely or never touch but need to keep on hand for regulatory or other long-term needs. These policies also can expire items at the end of their life cycles. AWS also offers S3 Intelligent Tiering that will automatically move your data from higher-priced storage classes to lower ones based on your ongoing access patterns.
This provides an opportunity to rollback or recover if an object is deleted. In addition, if an object expiration lifecycle policy is enabled, S3 will manage the removal of non-current versions of an object.
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