当前位置:网站首页>Tencent cloud object storage cos new product launch -- intelligent hierarchical storage, automatically optimize your storage cost

Tencent cloud object storage cos new product launch -- intelligent hierarchical storage, automatically optimize your storage cost

2020-12-07 19:16:57 cloud storage

In recent days, , Tencent cloud officially released new object storage products —— Intelligent tiered storage , According to the access mode of user data , Automatically convert the hot and cold levels of data , Provide users with a low latency and high throughput product experience consistent with standard storage , At the same time, it has lower storage cost .

Users familiar with data storage know , The data with high access frequency is hot data , Data with low access frequency is cold data . Thermal data is stored using standard storage types , You can get a better access experience ; The cold data is generally stored in low frequency or archive storage type , Can save storage costs .

As the business grows , The heat data will cool down , Cold data also has the possibility of heating back , Although the current object store COS The specified rules support , Realize the data conversion between hot and cold , But the settlement data through the life cycle is unidirectional , Only allowed from standard storage > Low frequency storage > archival storage > Deep archive storage , It also supports jump settlement ( For example, standard storage > archival storage ), Reverse is not supported , And the data is transferred to low frequency storage , Re access costs more data retrieval costs , And the lifetime can only be settled for buckets and specified prefixes , Only through life cycle settlement data , Can't deal with the scenario that the access mode is not fixed .

Intelligent hierarchical storage application scenarios

Compared to the standard storage configuration lifecycle way , Intelligent hierarchical storage provides hot and cold stratification mechanism for data , It is mainly used for automatic conversion of data to hot data when the access frequency increases , Automatically switch back to cold data when access frequency decreases , So as to reduce the storage cost of user data , Intelligent hierarchical storage is suitable for data whose access mode is not fixed or cannot be predicted .

Application scenarios for most industries , Data has the characteristics of periodic hot access , After a period of time , exceed 80% The number of data access is down . For example, film and television media 、 Online retailers 、 Online education 、 game 、 Video tutorials in the field of culture and tourism 、 Commodity images 、 Activity files 、 PPT lecture 、 Video resources and other data , There were a lot of visitors when we first went online , Gradually, fewer people visited , But the resources are still online , There will still be people visiting . If you choose standard storage , Storage costs will be high ; If low frequency storage is selected , Not only do you need data retrieval costs , It also damages the user's access experience . But if you choose intelligent tiered storage , You don't have to pay attention to the popularity of data access , Data access frequency is monitored by the object storage service , Data can be intelligently transformed between hot and cold access layers , And there's no data retrieval cost , Without compromising the user experience , Effectively reduce storage costs .

Intelligent tiered storage advantages

1、 No need to focus on data access patterns , Intelligent conversion storage layer

Just specify the object storage type for the data , You can apply intelligent tiered storage features . When the user uploads the data, it chooses to store it in the intelligent hierarchical storage type COS, Data is temporarily stored in the frequent access layer , then COS The number of data accesses is monitored periodically , When there is no data access for a period of time , Move data to access layer with lower storage cost . If the data is accessed again , Will be moved back to the frequent access layer , Guarantee data reading performance .

2、 Low frequency data need not be retrieved , Second to high frequency data

Intelligent hierarchical storage is a file object level storage type ,COS It will intelligently monitor every object in the storage type , When it is detected that the access heat of an object decreases , Will automatically convert data to low frequency storage , If the object is revisited after some time ,COS Will directly convert data to standard storage , You don't have to pay to get back any data .

3、 Automatic data settlement , Better storage costs

By monitoring the frequency of data access , Automate the management of the data access layer , Intelligent tiered storage types also participate in the object storage lifecycle process , Users can sink intelligent hierarchical storage into archive storage on demand , Further reduce the storage cost of data in the cloud .

4、 The storage data is stable and durable , Support disaster recovery in the same city

Intelligent hierarchical storage uses erasure code redundancy storage , Provides up to 99.999999999%(11 individual 9) Data reliability ; Data is stored in blocks , Concurrent reading and writing , Provide up to 99.95% Business availability of . Disaster tolerance in the same city MAZ The architecture has synchronized the intelligent tiered storage type , Data design reliability can be as high as 12 individual 9, High availability design 99.995%.

Hierarchical data is stored through hot and cold , Intelligent layering can help users find a balance between storage cost and read-write performance . Intelligent tiered storage As a storage type , Natural fit COS Of API、SDK、 Tools and Ecological Applications , It is convenient for users to manage the data stored in the cloud on demand . at present COS Standard storage has been provided 、 Low frequency storage 、 Intelligent hierarchical storage and other storage products covering different business requirements , There will be continuous iterations , Launch more products and features , Provide users with the most cost-effective storage services in the industry .

Original statement , This article is authorized by the author + Community publication , Unauthorized , Shall not be reproduced .

If there is any infringement , Please contact the yunjia_community@tencent.com Delete .

版权声明
本文为[cloud storage]所创,转载请带上原文链接,感谢
https://chowdera.com/2020/11/20201112192621553y.html