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Custom Metrics in Redis

Introduction

Monitoring and metrics are critical components for maintaining the health and performance of any application. Redis, a popular in-memory data structure store, provides built-in metrics that help monitor its performance and usage. However, there are scenarios where built-in metrics are insufficient for specific needs, leading to the necessity of custom metrics.

Why Custom Metrics?

Custom metrics allow you to track specific application behavior or performance indicators that are not covered by Redis's built-in metrics. These metrics can provide deeper insights into application performance and user behavior, enabling proactive issue resolution and optimized resource usage.

Setting Up Redis for Custom Metrics

Before adding custom metrics, ensure that your Redis setup is properly configured and monitored. It's important to have a monitoring tool that supports custom metrics integration. Prometheus is a popular choice for monitoring Redis and supports custom metrics.

First, install the Redis exporter for Prometheus:

wget https://github.com/oliver006/redis_exporter/releases/latest/download/redis_exporter-v1.19.0.linux-amd64.tar.gz
tar xvfz redis_exporter-v1.19.0.linux-amd64.tar.gz
./redis_exporter -redis.addr=redis://localhost:6379

Creating Custom Metrics

To create custom metrics in Redis, you can use Redis commands to track specific events or states in your application. Below is an example of how to create a custom metric that tracks the number of user logins:

Increment a custom metric key each time a user logs in:

INCR user:logins

Exporting Custom Metrics

Once the custom metrics are created, they need to be exported for monitoring. The Redis exporter can be configured to include custom metric keys. Edit the Redis exporter configuration to include your custom metric keys:

Edit the Redis exporter configuration file (redis_exporter.yml):

# Custom metrics configuration
redis:
  redis_addr: redis://localhost:6379
  include_keys:
    - user:logins
                    

Restart the Redis exporter:

./redis_exporter -config.file=redis_exporter.yml

Visualizing Custom Metrics

With custom metrics exported, you can visualize them using a monitoring tool like Grafana. Create a new dashboard in Grafana and add a panel to visualize the custom metrics:

Grafana Query Example:

redis_user_logins

This query will display the number of user logins tracked by the custom metric.

Conclusion

Custom metrics in Redis provide valuable insights into application performance and user behavior. By setting up Redis and a monitoring tool like Prometheus and Grafana, you can create, export, and visualize custom metrics tailored to your specific needs.