A Redis Cluster deployment and management in a clusterized environment. Ongoing project for GIRS (Gestão Integrada de Redes e Sistemas) course of MIECT, at DETI-UA (University of Aveiro).
The project goal is to manage and setup a high-availability service, such as Redis.
For now, this project has a Python client that will connect to the Redis cluster and perform multiple set/get operations with various data sizes (from 128 bits up to 4Mbits) during a minute each. The results obtained will give us some performance parameters to estimate the cluster usage.
Install Docker and docker-machine
Connect to a existing Docker Swarm
$ eval $(docker-machine env compute1)Run the script
$ bash run.shThis script will:
- create a overlay network on a connected Docker Swarm
- setup and run 6 replicas of Redis
- create a Redis cluster using the redis-cli tool (when prompted, write 'yes' to accept the cluster structure this tool suggests)
- build, create and run a container with our Python client
After the client has concluded, the Python container will be stopped. To transfer the files generated with the results do the following:
$ docker cp redisclient:/app .It will copy the folder 'app' to the current location.
The client will generate 4 files:
- results-set-client1.txt (final results for set)
- results-get-client1.txt (final results for get)
- results-raw-set-client1.txt (raw results for set)
- results-raw-get-client1.txt (raw results for get)
It's possible to setup this Redis Cluster in a local development, using Virtualbox as a driver (must be installed). To do it, you must create a Docker Swarm as follows:
For a master node do this:
$ docker-machine create -d virtualbox master
$ docker swarm init --advertise-addr eth1A Docker Swarm token will be generated. Store it and use it to join workers.
For each worker do this:
$ docker-machine create -d virtualbox worker01
$ docker-machine ssh worker01
$ docker swarm join --token TOKEN