Redis is an in-memory key-value store that is commonly used as a cache to improve application performance by providing ultra-fast data delivery for increased response times. It does this by accessing data stored in memory, rather than querying the disk of an application database. By doing this, it also alleviates the burden of disk operations.
Applications that need to deliver fast, real-time data. These could be ecommerce, financial, real-time data analytics, ridesharing or food delivery applications, gaming, and many more use cases. Redis is used with popular databases, such as MySQL and PostgreSQL, so that you can use a database of your choice while still having exceptional application performance.
We currently provide version 7.0.5. However, we plan to offer more versions and support upgrades in the future.
We provide easy cluster creation and also automate high availability configurations across availability domains or fault domains, automatic failover, operation system patching, security updates, and resizing.
Our flexible memory shapes allow you to choose the exact amount of memory you need for your cluster nodes. Other solutions make you choose a shape could be more than what you use. We support memory in discrete values so that you are not overprovisioning memory with a fixed shape.
Also, we let you scale your cluster up or down, on the fly, with minimal downtime. You can scale up to 500 GB of memory per node in your cluster.
You can provision up to five nodes in a Redis cluster for replication and high availability. You can have up to 20 nodes per tenancy.
We provide access to standard OCI monitoring and metrics so you can monitor the health and performance of your cluster. You can access CPU and memory utilization so that you can set alarms and notifications if your cluster is reaching a capacity level that indicates scaling is needed.
Our service is compliant with all OCI baseline compliance programs to include FIPS, PCI, HIPAA, GDPR, SOC, and ISO.
Click here to request early access to try OCI Cache with Redis.