Grafana

RedisTimeSeries is a Redis Module that brings native Time Series data structure to Redis. Time Series solutions which were earlier built on top of Sorted Sets (or Redis Streams) can benefit from RedisTimeSeries features such as high volume inserts, low latency reads, flexible query language, down-sampling and much more!

Generally speaking, Time Series data is (relatively) simple. Having said that, we need to factor in other characteristics as well:

Recently, I discovered a nice way of plugging in monitoring for Redis using Grafana, thanks to this great Data Source plugin that works with any Redis database, including Azure Cache for Redis!

It’s really easy to setup and try

Setup an Azure Cache for Redis instance

Start Grafana in Docker:

docker run -d -p 3000:3000 --name=grafana -e "GF_INSTALL_PLUGINS=redis-datasource" grafana/grafana

Access Grafana dashboard - browse to http://localhost:3000/

Enter admin as the username and password

Add the Data Source