Redis (deprecated)
Use this Splunk Observability Cloud integration for the Redis monitor. See benefits, install, configuration, and metrics
The Splunk Distribution of the OpenTelemetry Collector uses the Smart Agent receiver with the redis
monitor type to capture the following metrics:
-
Memory used
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Commands processed per second
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Number of connected clients and followers
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Number of blocked clients
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Number of keys stored per database
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Uptime
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Changes since last save
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Replication delay per follower
It accepts endpoints and allows multiple instances.
This integration is available on Kubernetes and Linux, and supports Redis 2.8 and higher.
Benefits
After you configure the integration, you can access these features:
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View metrics. You can create your own custom dashboards, and most monitors provide built-in dashboards as well. For information about dashboards, see View dashboards in Splunk Observability Cloud.
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View a data-driven visualization of the physical servers, virtual machines, AWS instances, and other resources in your environment that are visible to Infrastructure Monitoring. For information about navigators, see Use navigators in Splunk Infrastructure Monitoring.
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Access the Metric Finder and search for metrics sent by the monitor. For information, see Search the Metric Finder and Metadata Catalog.
Installation
Follow these steps to deploy this integration:
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Deploy the Splunk Distribution of OpenTelemetry Collector to your host or container platform:
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Configure the monitor, as described in the Configuration section.
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Restart the Splunk Distribution of OpenTelemetry Collector.
Configuration
To use this integration of a Smart Agent monitor with the Collector:
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Include the Smart Agent receiver in your configuration file.
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Add the monitor type to the Collector configuration, both in the receiver and pipelines sections.
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See how to Use Smart Agent monitors with the Collector.
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See how to set up the Smart Agent receiver.
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For a list of common configuration options, refer to Common configuration settings for monitors.
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Learn more about the Collector at Get started: Understand and use the Collector.
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Example
To activate this integration, add the following to your Collector configuration:
receivers:
smartagent/redis:
type: collectd/redis
... # Additional config
Next, add the monitor to the service.pipelines.metrics.receivers
section of your configuration file:
service:
pipelines:
metrics:
receivers: [smartagent/redis]
Configuration settings
The following table shows the configuration options for the Redis integration:
Option |
Required |
Type |
Description |
---|---|---|---|
|
Yes |
| |
|
Yes |
| |
|
No |
| Path to the Python binary. If you don’t provide a path, the monitor uses its built-in runtime. The string can include arguments to the binary. |
|
No |
| Name for the Redis instance. The maximum length is 64 characters. The default value is "{host}:{port}". |
|
No |
|
Authentication |
|
No |
| List of keys that you want to monitor for length. To learn more, see the Monitor the length of Redis lists section. |
|
No |
| Flag that controls verbose logging for the plugin. If true ,verbose logging is activated. The default value is |
The following table shows you the configuration options for the sendListLengths
configuration object:
Option |
Required |
Type |
Description |
---|---|---|---|
|
Yes |
|
The database index |
|
Yes |
| A string or pattern to use for selecting keys. A string selects a single key. A pattern that uses |
Monitor the length of Redis lists
To monitor the length of list keys, you must specify the key and database index in the configuration using the following syntax:
sendListLengths: [{databaseIndex: $db_index, keyPattern: "$key_name"}]
You can specify $key_name
as a glob-style pattern. The only supported wildcard is *
. When you use a pattern, the configuration processes all keys that match the pattern.
To ensure that the *
is interpreted correctly, surround the pattern with double quotes (""
). When a nonlist key matches the pattern, the Redis monitor writes an error to the agent logs.
in Splunk Observability Cloud, gauge.key_llen
is the metric name for Redis list key lengths. Splunk Observability Cloud creates a separate MTS for each Redis list.
Notes:
-
The Redis monitor uses the
KEYS
command to match patterns. Because this command isn’t optimized, you need to keep your match patterns small. Otherwise, the command can block other commands from executing. -
To avoid duplicate reporting, choose a single node in which to monitor list lengths. You can use the main node configuration or a follower node configuration.
Metrics
The following metrics are available for this integration:
https://raw.githubusercontent.com/signalfx/splunk-otel-collector/main/internal/signalfx-agent/pkg/monitors/collectd/redis/metadata.yaml
Notes
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To learn more about the available in Splunk Observability Cloud see Metric types.
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In host-based subscription plans, default metrics are those metrics included in host-based subscriptions in Splunk Observability Cloud, such as host, container, or bundled metrics. Custom metrics are not provided by default and might be subject to charges. See Metric categories for more information.
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In MTS-based subscription plans, all metrics are custom.
-
To add additional metrics, see how to configure
extraMetrics
in Add additional metrics.
Troubleshooting
If you are a Splunk Observability Cloud customer and are not able to see your data in Splunk Observability Cloud, you can get help in the following ways.
Available to Splunk Observability Cloud customers
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Submit a case in the Splunk Support Portal.
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Contact Splunk Support.
Available to prospective customers and free trial users
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Ask a question and get answers through community support at Splunk Answers.
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Join the Splunk #observability user group Slack channel to communicate with customers, partners, and Splunk employees worldwide. To join, see Chat groups.
Database Query Performance
You can troubleshoot Redis command performance issues using Database Query Performance in Splunk APM.
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For a sample scenario, see Scenario: Skyler investigates Redis performance issues using Database Query Performance
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For more information on Database Query Performance support for Redis, see Redis