This page introduces the Memorystore for Memcached service, including use cases, key concepts, and the advantages of using Memcached.
Memorystore for Memcached is a highly scalable, fully managed Memcached service for the Google Cloud. The service is built on open source Memcached and is binary and ASCII protocol compliant. This service can be accessed using standard OSS Memcached client libraries across all languages, making it easy to lift and shift existing applications with little to no code changes.
High-performance, scalable web applications often use a distributed, in-memory data store to achieve low latency and high performance. Memcached is a popular distributed in-memory key-value store used for building such applications. Some of the common Memcached use cases include caching of reference data, database query caching, and, in some cases, use as a session store.
To learn more about Memcached, see the Open Source Software (OSS) Memcached about page.
Memorystore also makes it very easy to deploy a Memcached service. You deploy Memorystore and Google manages the service for you, so that you can focus on your application. Memorystore gives you all the benefits of Memcached without the overhead of installing and managing it.
Memorystore for Memcached enables creating a fully-managed Memcached cluster. Before using the service, it is important to understand some key concepts and terms.
Memcached Instance represents one instance of a Memcached cluster. An instance can be comprised of a single node or a collection of nodes. All nodes in an instance must have the same memory per node, and the same number of vCPUs.
Memcached Node is the fundamental unit of a Memcached instance. Before creating a cluster it is important to determine the number of nodes, the memory per node, and the number of vCPUs per node that will be used to create the Memcached cluster. The configuration of the node and the number of nodes depends on the size of the dataset, tolerance for key loss, and workload characteristics. Each node has an IP address and port. You can get the list of IP addresses of all the nodes manually, or by using the Auto Discovery service.
Location allows you to specify the region in which you deploy your instance, and how the nodes are distributed across the zones within the region.
When creating a Memorystore instance first choose the region in which to deploy the instance. The choice of region is an important consideration. You should deploy the instance in the same region where the application accessing the Memorystore instance is deployed. Accessing a Memorystore instance from a Google Cloud resource in a different region is not supported.
All Memorystore nodes are distributed within the region you designate. Within the region, you have the option to automatically distribute the nodes across all zones or select the specific zones where the nodes should be located. We recommend that you distribute the nodes automatically to allow Memorystore to distribute nodes optimally in available zones. You should avoid provisioning all nodes in a single zone, to improve your application's fault tolerance.
Authorized VPC Network designates which Google VPC network your instance uses. The authorized network is set during instance creation, and cannot be altered later. A private services access connection must be established on a VPC network in order for it to work with Memorystore for Memcached. Only resources and users who have access to the Authorized VPC network can access the instance.
Private services access connection must be established for the authorized VPC network that the Memcached instance uses before you can create the Memcached instance. We recommend that you contact your networking/security team to setup the connection before creating the instance. A private services access connection enables creating instances using internal IP addresses and provides administrators control over the internal IP address range used by Memorystore instances. For more details, see Networking.
Configurations allow setting Memcached specific configurations during instance creation, and also permit changing the configurations during runtime. For a list of supported configurations, see Memcache configurations.
Auto Discovery service provides a programmatic way for Memcached clients to discover all the nodes in the cluster. Clients can periodically query the discovery endpoint to get the list of node IP addresses. The list is typically used to distribute the keys across all the nodes using consistent hashing. Using the Auto Discovery service is particularly useful for environments that periodically scale the number of nodes in an instance. To learn more, see Auto discovery service.
The following table outlines the different features and capabilities available Memorystore for Memcached:
|Features and Capabilities||Description|
|Memcached version||The service currently supports version 1.5.16|
|Instance sizing||An instance can have a maximum of 20 nodes. All nodes have the same configuration. A node can have a minimum of 1 vCPU and a maximum of 32 vCPUs. The minimum memory per node is 1 GB and the maximum memory supported per node is 256 GB. Memory can be specified in 1 GB increments. The maximum size of an instance is 5 TB.|
|Instance scaling||You can horizontally scale your instance by increasing or decreasing the number of nodes. Vertically scaling your nodes requires recreating the instance.|
|Memcached configurations||You can configure the instance for your specific workload. For a list of configurations, see Memcached configurations.|
|Security and access control||
Memorystore for Memcached can be accessed from the following platforms.
|Client Libraries||All standard Memcached client libraries across all languages are supported.|
|Auto Discovery service||
Enables programmatic discovery of nodes in an instance. Auto discovery support is currently available in the following clients:
You can also modify any existing Memcached clients to add auto discovery support. For more details see Auto Discovery service.
The Auto Discovery service is also compatible with most clients supporting AWS Elasticache auto discovery.
|Monitoring||Memorystore for Memcached provides metrics and dashboards in the Cloud Console to monitor the instance. For more details see Monitoring Memcached instances.|