Redis

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The Redis integration collects metrics related to performance and usage. Performance metrics focus on CPU, memory, and network throughput, and usage metrics focus on keys, commands, and replication. The integration also collects Redis logs and parses them into a JSON payload. During this process, the symbols for role and level are transformed into a human readable format.

For more information about Redis, see the Redis documentation.

Prerequisites

To collect Redis telemetry, you must install the Ops Agent:

  • For metrics, install version 2.7.0 or higher.
  • For logs, install version 2.5.0 or higher.

This integration supports Redis version 6.2.

Configure the Ops Agent for Redis

Following the guide for Configuring the Ops Agent, add the required elements to collect telemetry from Redis instances, and restart the agent.

Example configuration

The following commands create the configuration to collect and ingest telemetry for Redis and restarts the Ops Agent.

# Configures Ops Agent to collect telemetry from the app and restart Ops Agent.

set -e

# Create a back up of the existing file so existing configurations are not lost.
sudo cp /etc/google-cloud-ops-agent/config.yaml /etc/google-cloud-ops-agent/config.yaml.bak

# Configure the Ops Agent.
sudo tee /etc/google-cloud-ops-agent/config.yaml > /dev/null << EOF
metrics:
  receivers:
    redis:
      type: redis
  service:
    pipelines:
      redis:
        receivers:
        - redis
logging:
  receivers:
    redis:
      type: redis
  service:
    pipelines:
      redis:
        receivers:
        - redis
EOF

sudo service google-cloud-ops-agent restart
sleep 60

Configure logs collection

To ingest logs from Redis, you must create receivers for the logs that Redis produces and then create a pipeline for the new receivers.

To configure a receiver for your redis logs, specify the following fields:

Field Default Description
exclude_paths A list of filesystem path patterns to exclude from the set matched by include_paths.
include_paths [/var/log/redis/redis-server.log, /var/log/redis_6379.log, /var/log/redis/redis.log, /var/log/redis/default.log, /var/log/redis/redis_6379.log] A list of filesystem paths to read by tailing each file. A wild card (*) can be used in the paths; for example, /var/log/redis/*.log.
record_log_file_path false If set to true, then the path to the specific file from which the log record was obtained appears in the output log entry as the value of the agent.googleapis.com/log_file_path label. When using a wildcard, only the path of the file from which the record was obtained is recorded.
type This value must be redis.
wildcard_refresh_interval 60s The interval at which wildcard file paths in include_paths are refreshed. Given as a time duration parsable by time.ParseDuration, for example 30s or 2m. This property might be useful under high logging throughputs where log files are rotated faster than the default interval.

What is logged

The logName is derived from the receiver IDs specified in the configuration. Detailed fields inside the LogEntry are as follows.

The redis logs contain the following fields in the LogEntry:

Field Type Description
jsonPayload.level string Log entry level
jsonPayload.message string Log message, including detailed stacktrace where provided
jsonPayload.pid number The process ID issuing the log
jsonPayload.role string Translated from redis role character (sentinel, RDB/AOF_writing_child, slave, master)
jsonPayload.roleChar string Redis role character (X, C, S, M)
severity string (LogSeverity) Log entry level (translated).

Configure metrics collection

To ingest metrics from Redis, you must create receivers for the metrics that Redis produces and then create a pipeline for the new receivers.

To configure a receiver for your redis metrics, specify the following fields:

Field Default Description
address localhost:6379 The URL exposed by Redis.
ca_file Path to the CA certificate. As a client, this verifies the server certificate. If empty, the receiver uses the system root CA.
cert_file Path to the TLS certificate to use for mTLS-required connections.
collection_interval 60s A time duration value, such as 30s or 5m.
insecure true Sets whether or not to use a secure TLS connection. If set to false, then TLS is enabled.
insecure_skip_verify false Sets whether or not to skip verifying the certificate. If insecure is set to true, then the insecure_skip_verify value is not used.
key_file Path to the TLS key to use for mTLS-required connections.
password The password used to connect to the server.
type This value must be redis.

What is monitored

The following table provides the list of metrics that the Ops Agent collects from the Redis instance.

Metric type 
Kind, Type
Monitored resources
Labels
workload.googleapis.com/redis.clients.blocked
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.clients.connected
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.clients.max_input_buffer
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.clients.max_output_buffer
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.commands.processed
CUMULATIVEINT64
gce_instance
 
workload.googleapis.com/redis.connections.received
CUMULATIVEINT64
gce_instance
 
workload.googleapis.com/redis.connections.rejected
CUMULATIVEINT64
gce_instance
 
workload.googleapis.com/redis.cpu.time
CUMULATIVEDOUBLE
gce_instance
state
workload.googleapis.com/redis.keys.evicted
CUMULATIVEINT64
gce_instance
 
workload.googleapis.com/redis.keys.expired
CUMULATIVEINT64
gce_instance
 
workload.googleapis.com/redis.keyspace.hits
CUMULATIVEINT64
gce_instance
 
workload.googleapis.com/redis.keyspace.misses
CUMULATIVEINT64
gce_instance
 
workload.googleapis.com/redis.latest_fork
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.memory.fragmentation_ratio
GAUGEDOUBLE
gce_instance
 
workload.googleapis.com/redis.memory.lua
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.memory.peak
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.memory.rss
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.memory.used
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.net.input
CUMULATIVEINT64
gce_instance
 
workload.googleapis.com/redis.net.output
CUMULATIVEINT64
gce_instance
 
workload.googleapis.com/redis.rdb.changes_since_last_save
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.replication.backlog_first_byte_offset
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.replication.offset
GAUGEINT64
gce_instance
 
workload.googleapis.com/redis.slaves.connected
GAUGEINT64
gce_instance
 

Sample dashboard

To view your Redis metrics, you must have a chart or dashboard configured. Cloud Monitoring provides a library of sample dashboards for integrations, which contain preconfigured charts. For information about installing these dashboards, see Installing sample dashboards.

Verify the configuration

This section describes how to verify that you correctly configured the Redis receiver. It might take one or two minutes for the Ops Agent to begin collecting telemetry.

To verify that the logs are ingested, go to the Logs Explorer and run the following query to view the Redis logs:

resource.type="gce_instance"
log_id("redis")

To verify that the metrics are ingested, go to Metrics Explorer and run the following query in the MQL tab:

fetch gce_instance
| metric 'workload.googleapis.com/redis.clients.max_input_buffer'
| every 1m

What's next

For a walkthrough on how to use Ansible to install the Ops Agent, configure a third-party application, and install a sample dashboard, see the Install the Ops Agent to troubleshoot third-party applications video.