Go to computer terminal for registration
JCS for Redis is a Redis protocol-based online caching service provided by JD Cloud. It supports a variety of specifications for client-server version and cluster versions for users to choose. It can meet the requirements of availability, reliability and high read-write performance of multiple service scenarios. It supports hot standby, and provides automatic disaster tolerance switching and instance monitoring services to reduce service risks and ensure the continuity.Buy Now
JCS for Redis master-slave version which is highly compatible with the open source Redis protocol, adopts the master-slave hot standby architecture. The machine data is automatically synchronized to the standby machine, and the data should be remained consistent. When the machine fails, the system automatically detects the fault and the service switches to the standby. The entire process is completed automatically, ensuring no data loss and service interruption, and it doesn’t require user to carry out any treatment
JCS for Redis cluster version, mature JD self-developed and distributed storage and cache architecture, has greater workload, disaster discovery and higher security. The cluster can automatically carry out sharding of the data in multiple Redis nodes, so you can create more memory and achieve the technical capacity of ultra-large capacity.
JCS for Redis keeps the data completely in memory; ensuring high efficiency and persisting on the physical disk to ensure data security at the same time
Increased multiple availability zones deployment in the region could ensure data security and uninterrupted operation of business, thus ensuring high availability of user services
The user may easily deploy, run and expand JCS for Memcached, without machine installation, database deployment, operation and maintenance as well as others. The primary-secondary instances of JCS for Redis support the 1G, 2G, 4G, 8G, 16G, 32G and 64G memories. The instance type of cluster version supports 16G, 32G, 64G, 128G and 256G memories, and the 512G memory can be applied via a ticket. The user can make the selection according to the real usage conditions, upgrade on demand, increase resource usage ratio and reduce redundancy expense.
Provide functions such as monitoring for resource running status and performance, stability maintenance and so on. It also provides early warning notification to reduce daily maintenance workload. The instance is running on the Virtual Private Cloud (VPC), thus improving security and separation. Provide access restrictions such as subnets and identity and access management policies
In the e-commerce industry, for large-scale promotional spikes, real-time updates of merchandise inventory, applications with counting, inventory of goods, real-time recommendation of merchandise and etc., the overall access pressure of the system is huge, and the use of Redis can easily carry huge instantaneous read and write stress and achieve data persistence; the powerful performance support from the JCS for Redis can provide QPS of up to 100W+ to easily handle high concurrent access
For burst traffic scenarios in the live video industry (e.g. user data, interactive data and article & props data), to cache million-level QPS of JCS for Redis can meet the business demands with low time delay and high concurrency.
In order to quickly seize the market plus high requirements of the game industry for performance and interaction, JCS for Redis can reduce the development complexity, and make great improvement to the performance. In case of continuous business growth, it can be smoothly expanded, meeting the business demands in all stages. Based on its features, JCS for Redis has very obvious advantages in the realization of such proposals as daily task, achievement, points ranking, feature activity and player communication attribute.
For the applications (e.g. website and APP) with relatively high requirements for reading and writing pressure, JCS for Redis provides diversified applications, including high QPS, establishment of queue system, data cache, accurate setting of expiration time and data persistence.