*** Notice to users using git ***
The monitoring stack was changed to use versions and releases.
Users should move to a stable release. Current release is 1.0, if you are using master
do git checkout origin/branch-1.0
to switch to 1.0 version and make sure that you are using the latest stable version.
An out-of-the-box configuration will have a server dedicated to running both Prometheus and Grafana. Some teams may already have existing Promotheus and/or Grafana infrastructure, in which case you are able to use your existing architecture.
The monitoring infrastructure consists of several components, wrapped in Docker containers:
prometheus
- collects and stores metricsgrafana
- dashboard serveralertmanager
- The alert manager collect Prometheus alerts
- git
- docker
- python module pyyaml (for
genconfig.py
) - python module json (for
make_dashboards
)
On CentOS, you can do:
sudo yum install -y git docker python-pip
sudo pip install --upgrade pip
sudo pip install pyyaml
On Ubuntu 16.04, you can do:
You'll need to add the Docker repo to your /etc/apt/sources.list
(and accept the key, see Docker website for full instructions).
deb [arch=amd64] https://download.docker.com/linux/ubuntu xenial stable
On Ubuntu, the latest package name is docker-ce
for "Community Edition". You may want/need to adjust other Docker specific settings to meet your requirements. These instructions will get you a basic working Docker host.
sudo apt-get update && apt-get install -y python-pip docker-ce git
sudo pip install --upgrade pip
sudo pip install pyyaml
Download the latest version from: https://github.com/scylladb/scylla-grafana-monitoring/releases
git clone https://github.com/scylladb/scylla-grafana-monitoring.git
cd scylla-grafana-monitoring
Start docker service if needed
ubuntu $ sudo systemctl restart docker
centos $ sudo service docker start
Update prometheus/scylla_servers.yml
and prometheus/node_exporter_servers.yml
with the targets (server you wish to monitor).
For every server, there are two targets, one under scylla
job which is used for the scylla metrics.
Use port 9180.
For example, update targets in prometheus/scylla_servers.yml
:
- targets:
- 172.17.0.2:9180
- 172.17.0.3:9180
Second, for general node information (disk, network, etc.) add the server under node_exporter
job. Use port 9100.
For example, update targets in prometheus/node_exporter_servers.yml
:
- targets:
- 172.17.0.2:9100
- 172.17.0.3:9100
You can also use your own target files instead of updating scylla_servers.yml
and node_exporter_servers.yml
, using the -s
for scylla target file and -n
for node taget file. For example:
./start-all.sh -s my_scylla_servers.yml -n my_node_exporter_servers.yml -d data_dir
In many deployments the contents of those files are very similar, with the same servers being listed differing only in the ports scylla and node_exporter listen to. To automatically generate the target files, one can use the genconfig.py
script, using the -n
and -s
flags to control which files get created:
./genconfig.py -ns -d myconf 192.168.0.1 192.168.0.2
After that, the monitoring stack can be started pointing to the servers at 192.168.0.1
and 192.168.0.2
with::
./start-all.sh -s myconf/scylla_servers.yml -n myconf/node_exporter_servers.yml
node_exporter is an exporter of hardware and OS metrics such as disk space.
For a fully functional dashboard you need to have the node_exporter running on each of the nodes and configure the prometheus accordingly.
As part of Scylla installation, the scylla_setup
script will prompt to install node_exporter. If you skipped that step, you could always install node_exporter later with the node_exporter_install
script.
node_exporter_install
will download and install the node_exporter as a service.
./start-all.sh -d data_dir
For full list of options
./start-all.sh -h
As counters change their names between versions, we create a new dashboard for each new version.
We use tags to distinguish between the different versions, to keep the dashboard menu, relatively short,
by default, only the last two releases are loaded. You can load specific versions by using the -v
flag.
- You can supply multiple comma delimited versions, for example to load only 1.5 and 1.6 version:
./start-all.sh -v 1.5,1.6
-
Use the
all
to load all available versions. -
The master branch is called master, so to load 1.6 and master you would use:
./start-all.sh -v 1.6,master
- If you only need the latest version you can use:
./start-all.sh -v latest
Note: The -d data_dir is optional, but without it, Prometheus will erase all data between runs.
For systems in production it is recommended to use an external directory.
-b storage.local.retention=1000h -b query.staleness-delta=1m
When running the Prometheus and Grafana on the same host as scylla, use the local -l
flag, so processes inside the
containers will share the host network stack and would have access to the localhost
.
./kill-all.sh
Direct your browser to your-server-ip:3000
By default, Grafana authentication is disabled. To enable it and set a password for user admin use the -a
option
The dashboard holds a drop down menu at its upper left corner for disk and network interface. You should choose relevant disk and interface for the dashboard to show the graphs.
See here
Additional parameters: -d data_dir
Full commandline:
./start-all.sh -d data_dir
Comment:
data_dir
is the local path to original data directory
Data source for Prometheus data:
- Download from Docker Prometheus server, reference: https://github.com/scylladb/scylla/wiki/How-to-report-a-Scylla-problem#prometheus
- Get from Scylla-Cluster-Test log.
- Others
Some users who already have grafana installed can just upload the Scylla dashboards into your existing grafana environment.
This is possible using the load-grafana.sh
script.
For example, if you have prometheus running at 192.168.0.1:9090
, and grafana at localhost's port 3000
, you can do:
./load-grafana.sh -p 192.168.0.1:9090 -g 3000
Prometheus Alertmanager handles alerts that are generated by the Prometheus server.
Alerts are generated according to the Alerting rules.
The Alertmanager listen on port 9093
and you can use a web-browser to connect to it.