WARNING: This is Alpha software and not intended for use until a stable release.
M3Coordinator
M3Coordinator is a service which provides APIs for reading/writing to M3DB at a global and placement specific level.
It also acts as a bridge between Prometheus and M3DB. Using this bridge, M3DB acts as a long term storage for Prometheus using the remote read/write endpoints.
A detailed explanation of setting up long term storage for Prometheus can be found here.
Running in Docker
Note that all commands are run within the root of the m3coordinator directory except where specified.
Running both m3coordinator and Prometheus in containers:
You can launch a Prometheus and m3coordinator container using docker-compose
. However, you must first build the m3coordinator Docker image.
To do so, you will need the m3coordinator binary:
$ GOOS=linux GOARCH=amd64 CGO_ENABLED=0 make services
Once you have the binary, you can run the following to make the Docker image:
$ docker build -t m3coordinator -f docker/Dockerfile .
Finally, you can spin up the two containers using docker-compose
within the docker/
directory:
$ docker-compose up
Note: The default local ports for Prometheus and m3coordinator are 9090
and 7201
, respectively, and the default prometheus.yml
file is docker/prometheus.yml
If you want to override these, you can pass in the following environment variables to the docker-compose
command:
LOCAL_PROM_PORT
LOCAL_M3COORD_PORT
LOCAL_PROM_YML
(e.g. $ LOCAL_PROM_PORT=XXXX LOCAL_M3COORD_PORT=XXXX LOCAL_PROM_YML=/path/to/yml docker-compose up
)
Running m3coordinator locally (on mac only) and Prometheus in Docker container (for development):
Build m3coordinator binary:
$ make services
Run m3coordinator binary:
$ ./bin/m3coordinator --config.file docker/coordinator.yml
Run Prometheus Docker image:
$ docker run -p 9090:9090 -v $GOPATH/src/github.com/m3db/m3/src/query/docker/prometheus-mac.yml:/etc/prometheus/prometheus.yml quay.io/prometheus/prometheus
Running on GCP
Setup GCP for single m3db node
For a multi-node cluster, see here
Setup GCP for m3coordinator:
1. Make sure you select a base image with Docker pre-installed
2. Follow steps 1-5 from the above section (clone `m3coordinator` instead of `m3db`)
- Depending on the status of https://github.com/m3db/m3/pull/452, you may need to update the version of m3db (6874b8af8e9ec682551d49ad3e3250dfb4f4ae1f) and m3x (7ea8c2f35f9fa0f52bd189e44b11113d708acada) in `glide.yaml`
3. The config file, which is located at `m3coordinator/benchmark/configs/benchmark.yml` will need the same config topology as the m3db config
4. Run m3coordinator - you should see this message with the number of hosts you specified: `[I] successfully updated topology to 3 hosts` with no other warning or error messsages
$ ./bin/m3coordinator --config.file benchmark/configs/benchmark.yml
Setup and run Prometheus:
1. You can run Prometheus from the same box as m3coordinator
2. Update the `prometheus.yml` in `m3coordinator/docker` so that the `remote_read` and `remote_write` endpoints are bound to the IP address of the host that m3coordinator is running on:
- e.g.
```
remote_read:
- url: http://10.142.0.8:7201/api/v1/prom/remote/read
remote_write:
- url: http://10.142.0.8:7201/api/v1/prom/remote/write
```
3. Run Prometheus
$ sudo docker run -p 9090:9090 -v $GOPATH/src/github.com/m3db/m3/src/query/docker/prometheus.yml:/etc/prometheus/prometheus.yml quay.io/prometheus/prometheus