Chapter 3. Monitoring CodeReady Workspaces This chapter describes how to configure CodeReady Workspaces to expose metrics and how to build an example monitoring stack with external tools to process data exposed as metrics by CodeReady Workspaces. 3.1. Enabling and exposing CodeReady Workspaces metrics This section describes how to enable and expose CodeReady Workspaces metrics. Procedure Set the CHE_METRICS_ENABLED=true environment variable. Expose the 8087 port as a service on the che-master host. 3.2. Collecting CodeReady Workspaces metrics with Prometheus This section describes how to use the Prometheus monitoring system to collect, store and query metrics about CodeReady Workspaces. Prerequisites CodeReady Workspaces is exposing metrics on port 8087 . See Enabling and exposing codeready-workspaces metrics . Prometheus 2.9.1 or higher is running. The Prometheus console is running on port 9090 with a corresponding service and route . See First steps with Prometheus . Procedure Configure Prometheus to scrape metrics from the 8087 port: Prometheus configuration example apiVersion: v1 kind: ConfigMap metadata: name: prometheus-config data: prometheus.yml: |- global: scrape_interval: 5s 1 evaluation_interval: 5s 2 scrape_configs: 3 - job_name: 'che' static_configs: - targets: ['[che-host]:8087'] 4 1 Rate, at which a target is scraped. 2 Rate, at which recording and alerting rules are re-checked (not used in the system at the moment). 3 Resources Prometheus monitors. In the default configuration, there is a single job called che-host , which scrapes the time series data exposed by the CodeReady Workspaces server. 4 Scrape metrics from the 8087 port. Verification steps Use the Prometheus console to query and view metrics. Metrics are available at: http:// <che-server-url> :9090/metrics . For more information, see Using the expression browser in the Prometheus documentation. Additional resources First steps with Prometheus . Configuring Prometheus . Querying Prometheus . Prometheus metric types . 3.3. Extending CodeReady Workspaces monitoring metrics This section describes how to create a metric or a group of metrics to extend the monitoring metrics that CodeReady Workspaces is exposing. There are two major modules for metrics: che-core-metrics-core - contains core metrics module che-core-api-metrics - contains metrics that are dependent on core CodeReady Workspaces components, such as workspace or user managers Procedure Create a class that extends the MeterBinder class. This allows to register the created metric in the overridden bindTo(MeterRegistry registry) method. The following is an example of a metric that has a function that supplies the value for it: Example metric public class UserMeterBinder implements MeterBinder { private final UserManager userManager; @Inject public UserMeterBinder(UserManager userManager) { this.userManager = userManager; } @Override public void bindTo(MeterRegistry registry) { Gauge.builder("che.user.total", this::count) .description("Total amount of users") .register(registry); } private double count() { try { return userManager.getTotalCount(); } catch (ServerException e) { return Double.NaN; } } Alternatively, the metric can be stored with a reference and updated manually in some other place in the code. Additional resources Metric and label naming for Prometheus Metric types for Prometheus

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apiVersion: v1 kind: ConfigMap metadata: name: prometheus-config data: prometheus.yml: |- global: scrape_interval: 5s 1 evaluation_interval: 5s 2 scrape_configs: 3 - job_name: 'che' static_configs: - targets: ['[che-host]:8087'] 4
public class UserMeterBinder implements MeterBinder { private final UserManager userManager; @Inject public UserMeterBinder(UserManager userManager) { this.userManager = userManager; } @Override public void bindTo(MeterRegistry registry) { Gauge.builder("che.user.total", this::count) .description("Total amount of users") .register(registry); } private double count() { try { return userManager.getTotalCount(); } catch (ServerException e) { return Double.NaN; } }