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This article shows you how to use the MongoDB version of the cloud database, the content is concise and easy to understand, it will definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

Cloud database MongoDB supports both ReplicaSet and Sharding deployment architectures, and has a number of enterprise capabilities such as security audit and point-in-time backup. It is widely used in Internet, Internet of things, games, finance and other fields.

Use the MongoDB version of the cloud database

MongoDB version of cloud database has the following basic features:

Automatically build a MongoDB replica set based on three copies for users to use. Advanced functions such as disaster recovery and fault migration are packaged for users as a whole and are completely transparent to users.

Provide cluster instances based on multiple replica sets (each replica set follows the three-replica mode), easily expand read and write performance, and easily build MongoDB distributed database system.

Provide one-click database backup and recovery functions. Users can perform routine database backup and database backtracking functions through the console.

Provide up to 20 kinds of performance indicators monitoring and alarm functions, database performance data panoramic view.

Provide visual data management tools to facilitate user operation and maintenance.

Well-crafted featur

Flexible architecture-three-node replica set and distributed cluster architecture

Physical separation of three-node replicas and automatic fault migration; distributed clusters are freely configured and flexibly expandable

Data security-automatic backup and one-click recovery, multi-layer network security protection

Backup and storage to object storage OSS, multi-layer network protection mechanism against 90% malicious data corruption

Data ecology-free flow of data, more flexible application

Data interworking between cloud and cloud, big data EMR system docking application

Convenient operation and maintenance-professional monitoring and database management platform, active upgrade

Visual management and operation and maintenance platform, easy to use, the system is actively upgraded to the latest reliable version

Internet applications

Database performance extension

Internet applications are characterized by rapid business growth, large amount of data, and rapid growth of visits. Horizontal scalability is required for data storage.

Can solve the problem.

Storage capacity expansion: large amount of data storage, horizontal storage capacity expansion

Throughput expansion: online horizontal expansion of throughput capacity

Sub-service application

Meet the elastic expansion of sub-service

Such as the game sub-server type of the scene, need to roll clothes or suit operation. When rolling, the database service needs to have the ability of fast mirroring, and when it fits, the database needs to have the ability of incremental backup, and can be restored at a point in time.

Can solve the problem.

Database backup: incremental database backup

Instance cloning: creating a new database instance based on backup

Backup recovery: point-in-time-based database recovery

Big data type application

Big data handles seamless docking

In big data's business scenario, online data is written to the back-end database in real time. Then the data is calculated and analyzed by a special computing engine. The analysis results are written back to the source database so that the business can quickly access the calculation results.

Can solve the problem.

Data source access: database source data access

Calculation and analysis: calculation and analysis of big data

Heterogeneous data sharing: data flow between heterogeneous database products

Application scenario

Read-write separation: the MongoDB service adopts a highly available architecture of a three-node replica set, with three data nodes located on different physical servers and automatically synchronizing data. The Primary and Secondary nodes provide services. The two nodes provide independent domain names respectively, which can be used to allocate the reading pressure with MongoDB Driver.

Business flexibility: because MongoDB adopts the No-Schema approach, it is very suitable for start-up businesses, eliminating the pain of changing the table structure. Users can store structured data with fixed patterns in RDS, flexible businesses in MongoDB, and hot data in cloud database Memcache or cloud database Redis to achieve efficient access to business data and reduce the cost accordingly.

Mobile applications: cloud database MongoDB version supports two-dimensional spatial index, which can perfectly support the business requirements of mobile APP based on location query. At the same time, MongoDB dynamic mode storage mode is very suitable for storing heterogeneous data of multiple systems to meet the needs of mobile APP applications.

Internet of things applications: cloud database MongoDB version has extremely high performance, with asynchronous data writing feature, and can achieve the performance of in-memory database in specific scenarios, which is very suitable for Internet of things scenarios with high concurrent writes. At the same time, the map-reduce function of MongoDB can also aggregate and analyze a large amount of data.

The MongoDB version of the cloud database supports the cluster version, which can dynamically expand the capacity and increase the configuration and number of Mongos and Shard components, and achieve unlimited expansion in performance and storage space. It is very suitable for massive data and high concurrency performance scenarios of the Internet of things.

Core log system: cloud database MongoDB provides extremely high insertion performance in asynchronous disk scenarios and has the processing capability of in-memory database. MongoDB provides two-level index function to meet the needs of dynamic query, and can use the aggregation framework of map-reduce for multi-dimensional data analysis.

The above is how the MongoDB version of the cloud database is used. Have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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