Monitoring setup for Gerrit

This project provides a setup for monitoring Gerrit instances. The setup is based on Prometheus and Grafana running in Kubernetes. In addition, logging will be provided by Grafana Loki.

The setup is provided as a helm chart. It can be installed using Helm (This README expects Helm version 3.0 or higher).

The charts used in this setup are the chart provided in the open source and can be found on GitHub:

• Grafana
• Loki
• Prometheus
• Promtail

This project just provides values.yaml-files that are already configured to work with the metrics-reporter-prometheus-plugin of Gerrit to make the setup easier.

Dependencies

Software

• Gerrit
  Gerrit requires the following plugin to be installed:

  • metrics-reporter-prometheus

• Promtail
  Promtail has to be installed with access to the logs-directory in the Gerrit- site. A configuration-file for Promtail will be provided in this setup. Find the documentation for Promtail here

• Helm
  To install and configure Helm, follow the official guide.

• ytt
  ytt is a templating tool for yaml-files. It is required for some last moment configuration. Installation instructions can be found here.

• Pipenv
  Pipenv sets up a virtual python environment and installs required python packages based on a lock-file, ensuring a deterministic Python environment. Instruction on how Pipenv can be installed, can be found here

• Jsonnet
  Jsonnet is used to create the JSON-files describing the Grafana dashboards. Instruction on how Jsonnet can be installed, can be found here

• Grafonnet
  Grafonnet should be installed using jsonnet-bundler and the jsonnetfile.json provided by this project. Install jsonnet-bundler as described here. Then run jb install from this project's root directory.

Infrastructure

• Kubernetes Cluster
  A cluster with at least 3 free CPUs and 4 GB of free memory are required. In addition persistent storage of about 30 GB will be used.

• Ingress Controller
  The charts currently expect a Nginx ingress controller to be installed in the cluster.

• Object store
  Loki will store the data chunks in an object store. This store has to be callable via the S3 API.

Add dashboards

There are two ways to have dashboards deployed automatically during installation:

Using JSON

One way is to export the dashboards to a JSON-file in the UI or create JSON-files describing the dashboards in another way. Put these dashboards into the ./dashboards-directory of this repository.

Using Jsonnet + Grafonnet

The other way is to use Jsonnet/Grafonnet to programmatically create dashboards. Install Grafonnet into the project as described above and put your dashboard jsonnet files into the dashboards-directory or one of its subdirectories. The jsonnet-based dashboards can be transcribed into json manually using the following command:

jsonnet -J grafonnet-lib --ext-code publish=false dashboards/<dashboard>.jsonnet

The external variable publish should be set to false, if the dashboard is imported via API and to true, if it is published to the Grafana homepage or imported via the UI.

Configuration

While this project is supposed to provide a specialized and opinionated monitoring setup, some configuration is highly dependent on the specific installation. These options have to be configured in the ./config.yaml before installing and are listed here:

option	description
gerritServers	List of Gerrit servers to scrape. For details refer to section below
namespace	The namespace the charts are installed to
tls.skipVerify	Whether to skip TLS certificate verification
tls.caCert	CA certificate used for TLS certificate verification
monitoring.prometheus.server.host	Prometheus server ingress hostname
monitoring.prometheus.server.username	Username for Prometheus
monitoring.prometheus.server.password	Password for Prometheus
monitoring.prometheus.server.tls.cert	TLS certificate
monitoring.prometheus.server.tls.key	TLS key
monitoring.prometheus.alertmanager.slack.apiUrl	API URL of the Slack Webhook
monitoring.prometheus.alertmanager.slack.channel	Channel to which the alerts should be posted
monitoring.grafana.host	Grafana ingress hostname
monitoring.grafana.tls.cert	TLS certificate
monitoring.grafana.tls.key	TLS key
monitoring.grafana.admin.username	Username for the admin user
monitoring.grafana.admin.password	Password for the admin user
monitoring.grafana.ldap.enabled	Whether to enable LDAP
monitoring.grafana.ldap.host	Hostname of LDAP server
monitoring.grafana.ldap.port	Port of LDAP server (Has to be quoted!)
monitoring.grafana.ldap.password	Password of LDAP server
monitoring.grafana.ldap.bind_dn	Bind DN (username) of the LDAP server
monitoring.grafana.ldap.accountBases	List of base DNs to discover accounts (Has to have the format "['a', 'b']")
monitoring.grafana.ldap.groupBases	List of base DNs to discover groups (Has to have the format "['a', 'b']")
monitoring.grafana.dashboards.editable	Whether dashboards can be edited manually in the UI
logging.loki.host	Loki ingress hostname
logging.loki.username	Username for Loki
logging.loki.password	Password for Loki
logging.loki.s3.protocol	Protocol used for communicating with S3
logging.loki.s3.host	Hostname of the S3 object store
logging.loki.s3.accessToken	The EC2 accessToken used for authentication with S3
logging.loki.s3.secret	The secret associated with the accessToken
logging.loki.s3.bucket	The name of the S3 bucket
logging.loki.s3.region	The region in which the S3 bucket is hosted
logging.loki.tls.cert	TLS certificate
logging.loki.tls.key	TLS key

gerritServers

Two types of Gerrit servers are currently supported, which require different configuration parameters:

• Kubernetes
  Gerrit installations running in the same Kubernetes cluster as the monitoring setup. Multiple replicas are supported and automatically discovered.

option	description
gerritServers.kubernetes.[*].namespace	Namespace into which Gerrit was deployed
gerritServers.kubernetes.[*].label.name	Label name used to select deployments
gerritServers.kubernetes.[*].label.value	Label value to select deployments
gerritServers.kubernetes.[*].containerName	Name of container in the pod that runs Gerrit
gerritServers.kubernetes.[*].port	Container port to be used when scraping
gerritServers.kubernetes.[*].username	Username of Gerrit user with 'View Metrics' capabilities
gerritServers.kubernetes.[*].password	Password of Gerrit user with 'View Metrics' capabilities

• Other
  Gerrit installations with just one replica that can run anywhere, where they are reachable via HTTP.

option	description
gerritServers.other.[*].host	Hostname (incl. port, if required) of the Gerrit server to monitor
gerritServers.other.[*].username	Username of Gerrit user with 'View Metrics' capabilities
gerritServers.other.[*].password	Password of Gerrit user with 'View Metrics' capabilities
gerritServers.other.[*].promtail.storagePath	Path to directory, where Promtail is allowed to save files (e.g. positions.yaml)
gerritServers.other.[*].promtail.logPath	Path to directory containing the Gerrit logs (e.g. /var/gerrit/logs)

Encryption

The configuration file contains secrets. Thus, to be able to share the configuration, e.g. with the CI-system, it is meant to be encrypted. The encryption is explained here.

The gerrit-monitoring.py install-command will decrypt the file before templating, if it was encrypted with sops.

Installation

Before using the script, set up a python environment using pipenv install.

The installation will use the environment of the current shell. Thus, make sure that the path for ytt, kubectland helm are set. Also the KUBECONFIG-variable has to be set to point to the kubeconfig of the target Kubernetes cluster.

This project provides a script to quickly install the monitoring setup. To use it, run:

pipenv run python ./gerrit-monitoring.py \
  --config config.yaml \
  install \
  [--output ./dist] \
  [--dryrun] \
  [--update-repo]

The command will use the given configuration (--config/-c) to create the final files in the directory given by --output/-o (default ./dist) and install/update the Kubernetes resources and charts, if the --dryrun/-d flag is not set. If the --update-repo-flag is used, the helm repository will be updated before installing the helm charts. This is for example required, if a chart version was updated.

Configure Promtail

Promtail has to be installed with access to the directory containing the Gerrit logs, e.g. on the same host. The installation as described above will create a configuration file for Promtail, which can be found in ./dist/promtail.yaml. Use it to configure Promtail by using the -config.file=./dist/promtail.yaml- parameter, when starting Promtail. Using the Promtail binary directly this would result in the following command:

$PATH_TO_PROMTAIL/promtail \
  -config.file=./dist/promtail.yaml

If TLS-verification is activated, the CA-certificate used for verification (usually the one configured for tls.caCert) has to be present in the directory configured for promtail.storagePath in the config.yaml and has to be called promtail.ca.crt.

The Promtail configuration provided here expects the logs to be available in JSON-format. This can be configured by setting log.jsonLogging = true in the gerrit.config.

Uninstallation

To remove the Prometheus chart from the cluster, run

helm uninstall prometheus --namespace $NAMESPACE
helm uninstall loki --namespace $NAMESPACE
helm uninstall grafana --namespace $NAMESPACE
kubectl delete -f ./dist/configuration

To also release the volumes, run

kubectl delete -f ./dist/storage

NOTE: Doing so, all data, which was not backed up will be lost!

Remove the namespace:

kubectl delete -f ./dist/namespace.yaml

The ./gerrit-monitoring.py uninstall-script will automatically remove the charts installed in the configured namespace and delete the namespace as well:

pipenv run python ./gerrit-monitoring.py \
  --config config.yaml \
  uninstall