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Valkey

What is Valkey​

Valkey is a high-performance key/value datastore designed to efficiently handle a range of workloads, including caching, message queues, and primary database functions. It offers flexible deployment options as both a standalone daemon and a clustered system, with robust features for replication and high availability to ensure optimal performance and reliability. It is a versatile data structure store that offers excellent performance, flexibility, and a rich set of features. It's a valuable tool for applications that require efficient handling of various data structures and high-speed access.

Key Features​

  • Rich Data Structures: Supports a wide range of native data structures, including strings, numbers, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, and more.

  • In-Memory Performance: Designed for high-speed operations, leveraging in-memory storage for quick data access.

  • Expressive Commands: Provides a comprehensive set of commands for operating on data structures, enabling efficient data manipulation.

  • Native Extensibility: Supports Lua scripting for creating custom commands and data types, enhancing flexibility.

  • Clustering and High Availability: Can be run as either a standalone daemon or in a cluster, with options for replication and high availability.

  • Plugin System: Allows for the creation of custom modules to extend Valkey's functionality with new commands, data types, and more.

Use Cases of Valkey​

  • Caching: Valkey can be used as a high-performance cache for frequently accessed data, improving application response times.

  • Message Queues: It can serve as a reliable and scalable message queue for asynchronous communication between components.

  • Primary Database: Valkey can be used as a primary database for applications that require high performance and in-memory data storage.

  • Real-time Analytics: It can be used for real-time data processing and analytics due to its high-speed capabilities.

How to create Valkey DBaaS​

To proceed, click the "Add" button located in the upper-right corner of the screen:

After that, select the Valkey cluster and continue.

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Now select the plan according to your requirement.

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Now fill all the details and click on the next button.

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Once you have filled out all the necessary details, review them carefully on the summary page. If everything is accurate, click the "Create Database" button to proceed.

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After the cluster is created, you can see its details on the DBaaS listing page.

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Actions

Stop​

To stop the cluster, click on the three dots and then select the Stop button.

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Start​

To start the cluster, click on the three dots and then click on the Start button.

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Restart​

To restart the cluster, click on the Restart button.

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Expand Disk Size​

To expand disk size, click on the Expand Disk button.

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Delete​

To delete the cluster, click on the Delete button.

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Whitelist IP​

To whitelist an IP, click on the Add button in the Whitelisted IP tab.

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Users​

To add a user to the Valkey database, click on the USERS tab and click on the Add button.

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Snapshot​

To take a snapshot, click on the Take Snapshot button after selecting the Snapshots tab.

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Read Replica​

To add a Read Replica, go to the Read Replica tab and click on the Add button.

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Monitoring​

To see the monitoring details, click on the Monitoring tab.

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Alerts​

To check the alerts, click on the Alerts tab.

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To configure Valkey, kindly click on the following link: Click Here

To connect to your database node using Valkey command line​

Once your database has been provisioned and is in running status, you can get the database connectivity information on the dashboard under the connection details.

  • Public IPv4
  • Username
  • Password
  • Port

Enter the following command at a command prompt on your local or client desktop to connect to a Valkey database:

valkey-cli -u "redis://<'username'>:<'password'>@<Public_IP>:6379/<"dbaas name">"
warning

When including the password in the connection string, ensure it's properly URL encoded. This means replacing special characters like '@' with their corresponding URL-encoded equivalents. For example, '@' becomes '%40', etc.