IBM Cloud Databases for Redis extension

Before you begin

With this extension, you can create a dashboard designed to visualize and analyze logs from the IBM Cloud Databases for Redis service. The dashboard lets you track database performance, detect errors, analyze memory usage and commands, and provides valuable insights to optimize caching and data storage operations.

In IBM Cloud Logs, logs that are generated by IBM Cloud services (known as platform logs) include metadata fields that you can use to enhance searches and analyze the data.

• applicationName: The application name is the environment that produces and sends logs to IBM Cloud Logs. It is set to ibm-platform-logs.
• subsystemName: The subsystem name is the service or application that produces and sends logs to IBM Cloud Logs. It is set to database-for-redis:<instanceID> where <instanceID> is the IBM Cloud Databases for Redis instance ID.

In IBM Cloud, you must configure IBM Cloud Logs Routing to route logs to the IBM Cloud Logs service.

Before you can monitor logs that are generated in an IBM Cloud account, you must configure the IBM Cloud Logs Routing service in the account to define the destination where you want to monitor the logs.

• You can configure 1 or more IBM Cloud Logs instances in the account.
• Platform logs generated in the region are routed to the IBM Cloud Logs instance configured in IBM Cloud Logs Routing. The IBM Cloud Logs instance can be in the same region, or in a different region, in the account.
• You must define a service to service authorization between IBM Cloud Logs Routing and IBM Cloud Logs to grant permissions to the IBM Cloud Logs Routing service to send logs to the IBM Cloud Logs service.

For more information, see:

• Getting started with IBM Cloud Logs Routing
• IBM Cloud Databases for Redis logging

What this extension deploys

This extension includes one or more items.

Before deploying this extension, make sure that deploying the extension will not cause you to exceed limits for your IBM Cloud Logs instance. If deploying the extension results in limits being exceeded, the deployment will fail.

Deploying the extension

You can deploy this extension in any IBM Cloud Logs instance that collects IBM Cloud Databases for Redis logs. This extension includes a set of pre-configured resources such as dashboards and alerts that help you monitor critical metrics, identify anomalies, and optimize your system's performance.

For more information about deploying the extension, see Deploying, managing, and removing IBM Cloud Logs extensions.

After deploying, verify that the extension configuration handles data in a way that matches your IBM Cloud Logs instance TCO configuration. Alerts, dashboards, and events to metrics are features available for data handled through the Analyze and alert and the Priority insights data pipelines. After you deploy the extension, make sure the configuration meets your needs. For example, if you have TCO policies sending data to the Analyze and alert pipeline, you will need to change the dashboard configured by this extension to use Analyze and Alert data instead of Priority insights.

Dashboard

One dashboard is provided providing data about IBM Cloud Databases for Redis logs. This dashboard is designed to visualize and analyze logs from the IBM Cloud Databases for Redis service.

The dashboard includes:

• Total log count
• Log count by member
• Log count by user
• List of databases
• Actions
• Actions by database
• Rewrite config count
• Error stream
• Count of started sync
• Count of successful sync
• Sync messages

Alert

You can deploy the following alert:

• IBM Redis - REWRITE CONFIG: The REWRITECONFIG command was executed, indicating that the Redis configuration file was rewritten based on current in-memory settings. This suggests that someone (or an automated process) might have changed the Redis configuration at runtime. Such changes can impact performance, availability, or stability, and can lead to unexpected errors if not properly validated.

Rules

You can deploy any of the following rules:

• Redis - Replace message text to avoid Mapping Exceptions
• IBM Redis - Extract DBUser