Help Center/ Distributed Cache Service/ Service Overview/ DCS Instance Specifications/ Redis 3.0 Instance Specifications (Discontinued)
Updated on 2022-12-08 GMT+08:00
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Redis 3.0 Instance Specifications (Discontinued)

This section describes DCS Redis 3.0 instance specifications, including the total memory, available memory, maximum number of connections allowed, maximum/assured bandwidth, and reference performance.

The following metrics are related to the instance specifications:

  • Used memory: You can check the memory usage of an instance by viewing the Memory Usage and Used Memory metrics.
  • Maximum connections: The maximum number of connections allowed is the maximum number of clients that can be connected to an instance. To check the number of connections to an instance, view the Connected Clients metric.
  • QPS represents queries per second, which is the number of commands processed per second.
  • DCS Redis 3.0 instances are available in single-node, master/standby, and Proxy Cluster types.
  • DCS for Redis 3.0 is no longer provided. You can use DCS for Redis 4.0, 5.0, or 6.0 instead.

Single-Node Instances

For each single-node DCS Redis instance, the available memory is less than the total memory because some memory is reserved for system overheads, as shown in Table 1.
Table 1 Specifications of single-node DCS Redis 3.0 instances

Total Memory

(GB)

Available Memory

(GB)

Max. Connections (Default/Limit)

(Count)

Assured/Maximum Bandwidth

(Mbit/s)

Reference Performance

(QPS)

Specification Code (spec_code in the API)

2

1.5

5000/50,000

42/512

50,000

dcs.single_node

4

3.2

5000/50,000

64/1536

100,000

dcs.single_node

8

6.8

5000/50,000

64/1536

100,000

dcs.single_node

16

13.6

5000/50,000

85/3072

100,000

dcs.single_node

32

27.2

5000/50,000

85/3072

100,000

dcs.single_node

64

58.2

5000/60,000

128/5120

100,000

dcs.single_node

Master/Standby Instances

For each master/standby DCS Redis instance, the available memory is less than that of a single-node DCS Redis instance because some memory is reserved for data persistence, as shown in Table 2. The available memory of a master/standby instance can be adjusted to support background tasks such as data persistence and master/standby synchronization.

Table 2 Specifications of master/standby DCS Redis 3.0 instances

Total Memory

(GB)

Available Memory

(GB)

Max. Connections (Default/Limit)

(Count)

Assured/Maximum Bandwidth

(Mbit/s)

Reference Performance

(QPS)

Specification Code (spec_code in the API)

2

1.5

5000/50,000

42/512

50,000

dcs.master_standby

4

3.2

5000/50,000

64/1536

100,000

dcs.master_standby

8

6.4

5000/50,000

64/1536

100,000

dcs.master_standby

16

12.8

5000/50,000

85/3072

100,000

dcs.master_standby

32

25.6

5000/50,000

85/3072

100,000

dcs.master_standby

64

51.2

5000/60,000

128/5120

100,000

dcs.master_standby

Proxy Cluster Instances

In addition to larger memory, cluster instances feature more connections allowed, higher bandwidth allowed, and more QPS than single-node and master/standby instances.

Table 3 Specifications of Proxy Cluster DCS Redis 3.0 instances

Total Memory

(GB)

Available Memory

(GB)

Max. Connections (Default/Limit)

(Count)

Assured/Maximum Bandwidth

(Mbit/s)

Reference Performance

(QPS)

Specification Code (spec_code in the API)

64

64

90,000/90,000

600/5120

500,000

dcs.cluster

128

128

180,000/180,000

600/5120

500,000

dcs.cluster

256

256

240,000/240,000

600/5120

500,000

dcs.cluster

512

512

480,000/480,000

600/5120

500,000

dcs.cluster

1024

1024

960,000/960,000

600/5120

500,000

dcs.cluster
  • Pay-per-use Proxy Cluster DCS Redis instances are available in 64 GB, 128 GB, and 256 GB.
  • Yearly/Monthly Proxy Cluster DCS Redis instances are available in 64 GB, 128 GB, 256 GB, 512 GB, and 1024 GB.

    Currently, only the CN-Hong Kong region supports yearly/monthly billing. If you need to use this billing mode in other regions, submit a service ticket on the console to request the technical personnel to enable the function for you in the background.