Overview

Benefits

High Performance
Fitted with ultra-large memory, brand-new PCI-E SSD storage media, next-gen storage engine, and optimized native Mongo kernel, CloudDB for MongoDB can process 30,000+ queries per second (QPS), helping sustain massive volumes of concurrent requests during peak business hours.

Distributed Cluster Construction

Comprehensive Data Protection Mechanism
Featuring a comprehensive automatic data backup and lossless recovery mechanism, each instance cluster is backed up once a day by default, while the dual-server hot backup is performed in real-time for the nodes in the cluster.

Integrated Monitoring
CloudDB for MongoDB provides monitoring for three-dimensional metrics including single instance, primary node, and secondary node, and professional data metrics such as disk usage, CPU load, and QPS. CloudDB for MongoDB visualizes the operational data.

Professional OPS Service
The CloudDB team takes care of instance deployment, version updates, and troubleshooting. The primary/secondary switchover, troubleshooting, and data migration are completely imperceptible and the IP and port remain unchanged, eliminating the need to worry about IP drift for your applications.

Elastic Scaling

High Service Availability
Dual-server hot backup and multiple fault detection mechanisms ensure that the service is automatically switched to the secondary server within seconds in case the primary server fails. No operations are required on your part and your online businesses will remain unaffected.

Custom Alarms
The custom alarms feature is available for resource thresholds to help detect operational issues with MongoDB. It promptly notifies the OPS personnel of operational issues, helping them quickly respond to database problems.
Features
High Service Performance
Fitted with ultra-large memory, brand-new PCI-E SSD storage media, next-gen storage engine, and optimized native Mongo kernel, CloudDB for MongoDB can process 30,000+ queries per second (QPS), helping sustain massive volumes of concurrent requests during peak business hours.
Elastic Scalability
One-click cluster creation and capacity expansion significantly improve the efficiency of building massively distributed storage systems. If the current instance configuration fails to meet the service requirements, you can expand the capacity online via the console. The expansion process will not affect your online businesses.
Security and Stability
Featuring a comprehensive automatic data backup and lossless recovery mechanism, each instance cluster is backed up once a day by default. Dual-server hot backup is performed in real-time for the nodes in the cluster and cold backup data from the past five days can be downloaded.
Enterprise-grade Monitoring
CloudDB for MongoDB provides monitoring for three-dimensional metrics including single instance, primary node, and secondary node. It supports 60-second granularity and covers over 20 important metrics such as CURD requests, database load, aggregation requests, and latency.
Ease of Use
The console is simple and easy to use, and most operations can be completed with just one click. The CloudDB team takes care of the underlying details such as backup, rollback, troubleshooting, and data migration for you, saving you development time and enabling you to focus on your business.
Scenarios
Internet of Things
Game Development
Read-write Separation

Terminal devices in the Internet of Things (IoT) industry such as medical instruments and vehicle GPS receivers can easily and continuously generate terabytes of data. The sharding technology of CloudDB for MongoDB enables you to build a distributed database cluster with ease to achieve unlimited storage capacity and facilitate online expansion. The native map-reduce aggregation framework can help you tap into the hidden value of such massive amounts of data.

Gaming needs shift rapidly. CloudDB for MongoDB is especially ideal for use as a backend gaming database. Its schema-free mode eliminates the pain of changing the table structure and greatly shortens the version iteration cycle, saving up to 60% of development time. It can also be used as a cache server to schedule hot data properly. Its performance is comparable to that of other popular cache servers, and it features a wider variety of query methods.

For many applications that are not particularly demanding on data timeliness, read-write separation can be achieved by purchasing one or more read-only instances of the CloudDB for the MongoDB primary instance. Read operations can be performed in the read-only instances to meet the needs of high-volume read applications, reducing the pressure on the main database. All write requests are distributed to the primary node, and data is automatically synced between the primary instance and the read-only instances.