QoSServiceBuilder

Struct QoSServiceBuilder 

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pub struct QoSServiceBuilder<C: HeartbeatConsumer + Send + Sync + 'static> { /* private fields */ }
Expand description

Fluent builder for assembling a QoSService.

Use this builder to enable and configure optional sub-systems such as heartbeat reporting, metrics (Prometheus/OpenTelemetry), log aggregation (Loki) and Grafana dashboards. All features are off by default and can be enabled with the corresponding with_* methods.

Implementations§

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impl<C: HeartbeatConsumer + Send + Sync + 'static> QoSServiceBuilder<C>

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pub fn new() -> Self

Creates a new QoS service builder with default settings.

Initializes a builder with an empty configuration. All components (heartbeat, metrics, logging, etc.) are disabled by default and must be explicitly configured using the builder methods. This provides a clean starting point for building a custom QoS observability setup.

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pub fn with_config(self, config: QoSConfig) -> Self

Sets the complete QoS configuration at once.

This method allows you to provide a pre-configured QoSConfig instance, which can be useful when loading configuration from external sources or when you want to reuse an existing configuration. This will override any previous component-specific configurations that were set on the builder.

§Parameters
  • config - A complete QoSConfig containing settings for all QoS components
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pub fn with_heartbeat_config(self, config: HeartbeatConfig) -> Self

Configures the heartbeat service component.

The heartbeat service sends periodic signals to the Tangle blockchain to indicate that the service is alive and functioning properly. This helps prevent slashing of staked tokens and provides operational visibility.

§Parameters
  • config - Configuration for the heartbeat service including service ID, blueprint ID, and heartbeat parameters such as interval and jitter
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pub fn with_metrics_config(self, config: MetricsConfig) -> Self

Configures the metrics collection component.

Metrics collection captures system resource usage (CPU, memory, disk, network) and application-specific metrics (job execution statistics, custom metrics). These metrics can be exported to Prometheus and visualized in Grafana dashboards.

§Parameters
  • config - Configuration for metrics collection including retention settings, collection intervals, and export options
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pub fn with_loki_config(self, config: LokiConfig) -> Self

Configures the Loki logging integration.

Loki is a log aggregation system that works well with Grafana for visualization. This integration sends application logs to a Loki server, allowing centralized log storage, querying, and correlation with metrics.

§Parameters
  • config - Configuration for Loki integration including server URL, authentication, labels, and batch settings
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pub fn with_grafana_config(self, config: GrafanaConfig) -> Self

Configures the Grafana integration for dashboard visualization.

Grafana provides powerful visualization capabilities for metrics and logs. This configuration allows the QoS service to automatically create and update dashboards that display service health, resource usage, and operational metrics.

§Parameters
  • config - Configuration for Grafana integration including server URL, authentication, and organization settings
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pub fn with_heartbeat_consumer(self, consumer: Arc<C>) -> Self

Sets the heartbeat consumer implementation.

The heartbeat consumer is responsible for processing and submitting heartbeat messages to the Tangle blockchain. It handles the cryptographic signing of heartbeat messages and submits them to the appropriate chain endpoint.

This is required if heartbeat functionality is enabled.

§Parameters
  • consumer - Implementation of the HeartbeatConsumer trait that will process and submit heartbeats to the blockchain
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pub fn with_otel_config(self, config: OpenTelemetryConfig) -> Self

Configures OpenTelemetry integration for distributed tracing and advanced metrics.

OpenTelemetry provides a standardized way to collect and export telemetry data (traces, metrics, logs) across services. This integration enables correlation of traces with logs and metrics for comprehensive observability.

§Parameters
  • config - OpenTelemetry configuration including exporter settings, sampling, and resource attribution
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pub fn with_prometheus_datasource(self, datasource_uid: &str) -> Self

Configures automatic Grafana dashboard creation with a specific Prometheus datasource.

This method enables the automatic creation or updating of a Grafana dashboard during QoS service initialization. The dashboard will include panels for system metrics, resource usage, and application-specific metrics sourced from the specified Prometheus datasource.

§Parameters
  • datasource_uid - The Grafana UID of the Prometheus datasource to use for metrics visualization
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pub fn with_loki_datasource(self, datasource_uid: &str) -> Self

Configures Grafana dashboard to include logs from a specific Loki datasource.

When used in combination with with_prometheus_datasource, this enables the creation of comprehensive dashboards that include both metrics and logs. The dashboard will include panels that allow for correlation between metrics and logs using the same timestamps.

§Parameters
  • datasource_uid - The Grafana UID of the Loki datasource to use for log visualization
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pub fn with_grafana_server_config(self, config: GrafanaServerConfig) -> Self

Configures the managed Grafana server instance.

If server management is enabled, this configuration will be used to start and manage a Grafana server instance automatically. The server can be run as a Docker container or embedded server depending on the configuration.

§Parameters
  • config - Configuration for the Grafana server including host, port, and authentication settings
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pub fn with_loki_server_config(self, config: LokiServerConfig) -> Self

Configures the managed Loki log aggregation server instance.

If server management is enabled, this configuration will be used to start and manage a Loki server instance automatically. This server will collect and store logs from the application for later querying and visualization in Grafana.

§Parameters
  • config - Configuration for the Loki server including host, port, retention, and storage settings
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pub fn with_prometheus_server_config( self, config: PrometheusServerConfig, ) -> Self

Set the Prometheus server configuration

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pub fn manage_servers(self, manage: bool) -> Self

Enable or disable server management

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pub fn with_http_rpc_endpoint(self, endpoint: String) -> Self

Build the QoS service

§Errors

Returns an error if the heartbeat consumer is not provided or if the service initialization fails Set the HTTP RPC endpoint for HeartbeatService

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pub fn with_ws_rpc_endpoint(self, endpoint: String) -> Self

Set the WebSocket RPC endpoint for HeartbeatService

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pub fn with_keystore_uri(self, uri: String) -> Self

Set the Keystore URI for HeartbeatService

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pub async fn build(self) -> Result<QoSService<C>>

Build the QoS service

§Errors

Returns an error if the heartbeat consumer is not provided or if the service initialization fails

Trait Implementations§

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impl<C: HeartbeatConsumer + Send + Sync + 'static> Default for QoSServiceBuilder<C>

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fn default() -> Self

Returns the “default value” for a type. Read more

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