The hardware requirements for Redis Enterprise Software (RS) are different for development and productions environments.
Development environment hardware requirements
If you are looking to do development, test or experimentation with RS, you can use non-production hardware (e.g. laptops, desktop, small VM/instance, etc.).
|# of nodes per cluster||One node is fine, but to utilize the advanced cluster features at least two nodes are required.||1 node||2+|
|RAM||The amount of RAM for the node.||At least 4GB||8GB|
|Storage||The amount of storage space for the node.||At least 10GB of free space||20GB|
This minimal setup is meant for simple development and minimal functional testing, not for any kind of load, failure or failover testing. With two or fewer nodes in a cluster, a quorum cannot be attained in the event of failure. For that kind of testing or anything more serious, please see the production environment requirements.
Production environment hardware requirements
The table below explains the minimum and the recommended hardware requirements for a production system:
|# of nodes per cluster||At least 3 nodes are needed in order to support a reliable, highly available deployment that handles process failure, node failure, and network split events in a consistent manner.||3 nodes||>=3 nodes; must be odd number of nodes to maintain quorum|
|# of cores per node||RS is based on a multi-tenant architecture and can run multiple Redis processes (or shards) on the same core without significant performance degradation.Once the CPU load of a node has reached a certain threshold, RS tries to migrate "noisy" shards to a different node in the cluster and sends an alert to the operator.If your application is designed to impose a lot of load on your Redis database, make sure that you have at least one available core for each shard of your database.Additional recommendations:1. If some of the cluster nodes are utilizing more than 80% of the CPU, you should look at migrating busy resources to less busy nodes.2. If all the cluster nodes are utilizing over 80% of the CPU, scale-out the cluster by adding a node.||4 cores||>=8 cores|
|RAM||Defining your RAM size should be part of the capacity planning for your Redis usage. Since Redis uses a relatively large amount of buffers (i.e. for slave communication, for the client communication and for pub/sub commands) the operator should take extra care to maintain at least 30% of the RAM "unused" on each node.Additional recommendations:1. If some of the cluster nodes are utilizing more than 65% of the RAM, you should look at migrating busy resources to less busy nodes.2. If all the cluster nodes are utilizing over 70% of the RAM, you should look to scale out the cluster by adding a node.3. Do not run other memory-consuming systems on the same machine that is used as an RS node.||15GB||>=30GB|
|Storage||For better I/O performance, Redis Enterprise Software enables two storage systems to be connected to each node in the cluster (as described below). It is also highly recommended that you use SSD-based storage to avoid performance issues when persisting data to disk.If Redis on Flash is used, the size of the Flash storage must be at least ten times (10x) the size of the RAM storage. For additional details, refer to Redis on Flash page.|
|Ephemeral Storage||Used for storing replication files (RDB format) and cluster log files.For additional details, refer to Persistent and Ephemeral Storage.||2x node's RAM size||>=4x node's RAM size|
|Persistent Storage||Used for storing snapshot (RDB format) and AOF files over a persistent storage media, which (unlike ephemeral storage) is not deleted in cases of node failure.For additional details, refer to Persistent and Ephemeral Storage.Examples of persistent storage devices:- AWS Elastic Block Storage (EBS)- Azure Data Disk||3x node's RAM size||>=6x node's RAM size. For extreme 'write' scenarios, refer to the Disk size requirements for extreme write scenarios section to determine the right Persistent Storage size.If Redis on Flash is enabled, calculate the recommended size as 5x of (RAM+Flash).|
|Network||Redis Labs recommends running RS over a low-latency high-throughput network, wherein each NIC can support a few hundred thousand packets per second.That said, RS could still perform very well over a single 1Gbps interface network that is used for processing application requests, inter-cluster communication, and storage access.||1G||>=10G|