Monitor infrastructure

Grafana integrations

Integrations reference

Presto

Grafana Cloud

Presto integration for Grafana Cloud

Presto is an open-source distributed SQL query engine designed for running interactive analytic queries against data sources of all sizes, ranging from gigabytes to petabytes. It allows users to query data where it lives, whether it’s in Hadoop, AWS S3, Cassandra, MySQL, and many other data sources without the need for complex data migration or transformation. The integration with Grafana Cloud enables users to oversee a Presto environment using distinct dashboards. These dashboards display metrics and logs for Presto clusters, workers, coordinators, and logs.

This integration supports Presto 0.28+ running alongisde a JMX exporter 0.19.0+.

This integration includes 7 useful alerts and 4 pre-built dashboards to help monitor and visualize Presto metrics and logs.

Before you begin

In order for the integration to properly work, you must set up the JMX Exporter for Prometheus on each instance in your cluster.

Enable the JMX Exporter

To enable the JMX exporter in Presto you need to add a couple of files within the installation directory. The first file will be called jmx.properties. This file should be created in <presto-installation-directory>/etc/catalog/. The following line should be added into the file:

connector.name=jmx

The second file that needs to be created is jvm.config. The location of this file is typically found/created in <presto-installation-directory>/etc/. The following lines should be appended onto this file. Change the jmxremote.port on the command below for each instance you run, then save the configuration files.

-Dcom.sun.management.jmxremote
-Dcom.sun.management.jmxremote.port=<jmx.port>
-Dcom.sun.management.jmxremote.ssl=false
-Dcom.sun.management.jmxremote.authenticate=false
-javaagent:<path/to/jmx_java_agent.jar>=<exporter_port>:</path/to/jmx_pattern_config.yaml>/config.yaml

Configure the JMX Exporter metrics collection

In order to connect JMX to the Prometheus Exporter, a collector is configured in a config file. This config.yaml file can be placed anywhere and named anything. The contents of this file will be the following:

rules:
    - pattern: "com.facebook.presto.execution<name=TaskManager><>(.+): (.*)"
      name: "presto_TaskManager_$1"
      value: $2
      type: UNTYPED
      attrNameSnakeCase: false
    - pattern: "com.facebook.presto.execution.executor<name=TaskExecutor><>(.+): (.*)"
      name: "presto_TaskExecutor_$1"
      value: $2
      type: UNTYPED
    - pattern: "com.facebook.presto.failureDetector<name=HeartbeatFailureDetector><>ActiveCount: (.*)"
      name: "presto_HeartbeatDetector_ActiveCount"
      value: $1
      type: UNTYPED
      attrNameSnakeCase: false
    - pattern: "com.facebook.presto.metadata<name=DiscoveryNodeManager><>(.+): (.*)"
      name: "presto_metadata_DiscoveryNodeManager_$1"
      value: $2
      type: UNTYPED
      attrNameSnakeCase: false
    - pattern: "com.facebook.presto.execution<name=QueryManager><>(.+): (.*)"
      name: "presto_QueryManager_$1"
      value: $2
      type: UNTYPED
    - pattern: "com.facebook.presto.execution<name=QueryExecution><>(.+): (.*)"
      name: "presto_QueryExecution_$1"
      value: $2
      attrNameSnakeCase: false
    - pattern: "com.facebook.presto.memory<name=ClusterMemoryManager><>(.+): (.*)"
      name: "presto_ClusterMemoryManager_$1"
      value: $2
      type: UNTYPED
      attrNameSnakeCase: false
    - pattern: "com.facebook.presto.memory<type=ClusterMemoryPool, name=(.*)><>(.+): (.*)"
      name: "presto_ClusterMemoryPool_$1_$2"
      type: UNTYPED
    - pattern: "com.facebook.presto.memory<type=MemoryPool, name=(.*)><>(.+): (.*)"
      name: "presto_MemoryPool_$1_$2"
      type: UNTYPED
    - pattern: 'java.lang<name=([^>]+), type=GarbageCollector><LastGcInfo>duration: (\d+)'
      name: jvm_gc_duration
      value: $2
      labels:
        name: $1
      type: UNTYPED
    - pattern: 'java.lang<name=([^>]+), type=GarbageCollector><>CollectionCount: (\d+)'
      name: jvm_gc_collection_count
      value: $2
      labels:
        name: $1
      type: UNTYPED
    - pattern: "java.lang<type=Memory><HeapMemoryUsage>used"
      name: jvm_heap_memory_used
      type: UNTYPED
    - pattern: "java.lang<type=Memory><HeapMemoryUsage>committed"
      name: jvm_heap_memory_committed
      type: UNTYPED
    - pattern: "java.lang<type=Memory><NonHeapMemoryUsage>used"
      name: jvm_nonheap_memory_used
      type: UNTYPED
    - pattern: "java.lang<type=Memory><NonHeapMemoryUsage>committed"
      name: jvm_nonheap_memory_committed
      type: UNTYPED

Validate the JMX Exporter

The JMX exporter will open a port and report the Prometheus metrics to the exporter port when the Presto instance has been started. To validate that the JMX Exporter is setup correctly, the Prometheus metrics should be available locally via curl:

curl http://localhost:<exporter_port>/metrics

Configure logs location.

By default, Presto does not have a location to store logs. Inside the file located at <presto-installation-directory>/etc/node.properties, the user can configure a location for logs to be placed. The following line configures the log location to be at /var/presto/data/var/log/server.log

node.data-dir=/var/presto/data

Install Presto integration for Grafana Cloud

In your Grafana Cloud stack, click Connections in the left-hand menu.
Find Presto and click its tile to open the integration.
Review the prerequisites in the Configuration Details tab and set up Grafana Agent to send Presto metrics and logs to your Grafana Cloud instance.
Click Install to add this integration’s pre-built dashboards and alerts to your Grafana Cloud instance, and you can start monitoring your Presto setup.

Configuration snippets for Grafana Alloy

Advanced mode

The following snippets provide examples to guide you through the configuration process.

To instruct Grafana Alloy to scrape your Presto instances, manually copy and append the snippets to your alloy configuration file, then follow subsequent instructions.

Advanced metrics snippets

prometheus.scrape "metrics_integrations_integrations_presto" {
	targets = [{
		__address__    = "localhost:<your-instance-port>",
		presto_cluster = "<your-presto-cluster-name>",
	}]
	forward_to = [prometheus.remote_write.metrics_service.receiver]
	job_name   = "integrations/presto"
}

To monitor your Presto instance, you must use a discovery.relabel component to discover your Presto Prometheus endpoint and apply appropriate labels, followed by a prometheus.scrape component to scrape it.

Configure the following properties within each discovery.relabel component:

__address__: The address to your Presto Prometheus metrics endpoint.
instance label: constants.hostname sets the instance label to your Grafana Alloy server hostname. If that is not suitable, change it to a value uniquely identifies this Presto instance. Make sure this label value is the same for all telemetry data collected for this instance.
presto_cluster must be the value that identifies the Presto cluster this instance belongs to.

If you have multiple Presto servers to scrape, configure one discovery.relabel for each and scrape them by including each under targets within the prometheus.scrape component.

Advanced logs snippets

darwin

local.file_match "logs_integrations_integrations_presto" {
	path_targets = [{
		__address__    = "localhost",
		__path__       = "/var/presto/data/var/log/server.log",
		instance       = format("%s:<your-instance-port>", constants.hostname),
		job            = "integrations/presto",
		presto_cluster = "<your-presto-cluster-name>",
	}]
}

loki.process "logs_integrations_integrations_presto" {
	forward_to = [loki.write.grafana_cloud_loki.receiver]

	stage.multiline {
		firstline     = "\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{3}"
		max_lines     = 0
		max_wait_time = "3s"
	}

	stage.regex {
		expression = "\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{3}Z\\s+(?P<level>\\w+)(?P<message>.+)"
	}

	stage.labels {
		values = {
			level = null,
		}
	}
}

loki.source.file "logs_integrations_integrations_presto" {
	targets    = local.file_match.logs_integrations_integrations_presto.targets
	forward_to = [loki.process.logs_integrations_integrations_presto.receiver]
}

To monitor your Presto instance logs, you will use a combination of the following components:

local.file_match defines where to find the log file to be scraped. Change the following properties according to your environment:
- __address__: The Presto instance address
- __path__ is the Presto logs location. Presto does not have a default log location, but users can configure one within the node.properties file in their Presto installation directory. Instructions for this integration should lead to it being /var/presto/data/var/log/server.log.
- instance label: constants.hostname sets the instance label to your Grafana Alloy server hostname. If that is not suitable, change it to a value uniquely identifies this Presto instance. Make sure this label value is the same for all telemetry data collected for this instance.
- presto_cluster must be the value that identifies the Presto cluster this instance belongs to.
loki.process defines how to process logs before sending it to Loki.
loki.source.file sends logs to Loki.

linux

local.file_match "logs_integrations_integrations_presto" {
	path_targets = [{
		__address__    = "localhost",
		__path__       = "/var/presto/data/var/log/server.log",
		instance       = format("%s:<your-instance-port>", constants.hostname),
		job            = "integrations/presto",
		presto_cluster = "<your-presto-cluster-name>",
	}]
}

loki.process "logs_integrations_integrations_presto" {
	forward_to = [loki.write.grafana_cloud_loki.receiver]

	stage.multiline {
		firstline     = "\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{3}"
		max_lines     = 0
		max_wait_time = "3s"
	}

	stage.regex {
		expression = "\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{3}Z\\s+(?P<level>\\w+)(?P<message>.+)"
	}

	stage.labels {
		values = {
			level = null,
		}
	}
}

loki.source.file "logs_integrations_integrations_presto" {
	targets    = local.file_match.logs_integrations_integrations_presto.targets
	forward_to = [loki.process.logs_integrations_integrations_presto.receiver]
}

To monitor your Presto instance logs, you will use a combination of the following components:

local.file_match defines where to find the log file to be scraped. Change the following properties according to your environment:
- __address__: The Presto instance address
- __path__ is the Presto logs location. Presto does not have a default log location, but users can configure one within the node.properties file in their Presto installation directory. Instructions for this integration should lead to it being /var/presto/data/var/log/server.log.
- instance label: constants.hostname sets the instance label to your Grafana Alloy server hostname. If that is not suitable, change it to a value uniquely identifies this Presto instance. Make sure this label value is the same for all telemetry data collected for this instance.
- presto_cluster must be the value that identifies the Presto cluster this instance belongs to.
loki.process defines how to process logs before sending it to Loki.
loki.source.file sends logs to Loki.

windows

local.file_match "logs_integrations_integrations_presto" {
	path_targets = [{
		__address__    = "localhost",
		__path__       = "/var/presto/data/var/log/server.log",
		instance       = format("%s:<your-instance-port>", constants.hostname),
		job            = "integrations/presto",
		presto_cluster = "<your-presto-cluster-name>",
	}]
}

loki.process "logs_integrations_integrations_presto" {
	forward_to = [loki.write.grafana_cloud_loki.receiver]

	stage.multiline {
		firstline     = "\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{3}"
		max_lines     = 0
		max_wait_time = "3s"
	}

	stage.regex {
		expression = "\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{3}Z\\s+(?P<level>\\w+)(?P<message>.+)"
	}

	stage.labels {
		values = {
			level = null,
		}
	}
}

loki.source.file "logs_integrations_integrations_presto" {
	targets    = local.file_match.logs_integrations_integrations_presto.targets
	forward_to = [loki.process.logs_integrations_integrations_presto.receiver]
}

To monitor your Presto instance logs, you will use a combination of the following components:

local.file_match defines where to find the log file to be scraped. Change the following properties according to your environment:
- __address__: The Presto instance address
- __path__ is the Presto logs location. Presto does not have a default log location, but users can configure one within the node.properties file in their Presto installation directory. Instructions for this integration should lead to it being /var/presto/data/var/log/server.log.
- instance label: constants.hostname sets the instance label to your Grafana Alloy server hostname. If that is not suitable, change it to a value uniquely identifies this Presto instance. Make sure this label value is the same for all telemetry data collected for this instance.
- presto_cluster must be the value that identifies the Presto cluster this instance belongs to.
loki.process defines how to process logs before sending it to Loki.
loki.source.file sends logs to Loki.

Grafana Agent static configuration (deprecated)

The following section shows configuration for running Grafana Agent in static mode which is deprecated. You should use Grafana Alloy for all new deployments.

Before you begin

In order for the integration to properly work, you must set up the JMX Exporter for Prometheus on each instance in your cluster.

Enable the JMX Exporter

connector.name=jmx

-Dcom.sun.management.jmxremote
-Dcom.sun.management.jmxremote.port=<jmx.port>
-Dcom.sun.management.jmxremote.ssl=false
-Dcom.sun.management.jmxremote.authenticate=false
-javaagent:<path/to/jmx_java_agent.jar>=<exporter_port>:</path/to/jmx_pattern_config.yaml>/config.yaml

Configure the JMX Exporter metrics collection

rules:
    - pattern: "com.facebook.presto.execution<name=TaskManager><>(.+): (.*)"
      name: "presto_TaskManager_$1"
      value: $2
      type: UNTYPED
      attrNameSnakeCase: false
    - pattern: "com.facebook.presto.execution.executor<name=TaskExecutor><>(.+): (.*)"
      name: "presto_TaskExecutor_$1"
      value: $2
      type: UNTYPED
    - pattern: "com.facebook.presto.failureDetector<name=HeartbeatFailureDetector><>ActiveCount: (.*)"
      name: "presto_HeartbeatDetector_ActiveCount"
      value: $1
      type: UNTYPED
      attrNameSnakeCase: false
    - pattern: "com.facebook.presto.metadata<name=DiscoveryNodeManager><>(.+): (.*)"
      name: "presto_metadata_DiscoveryNodeManager_$1"
      value: $2
      type: UNTYPED
      attrNameSnakeCase: false
    - pattern: "com.facebook.presto.execution<name=QueryManager><>(.+): (.*)"
      name: "presto_QueryManager_$1"
      value: $2
      type: UNTYPED
    - pattern: "com.facebook.presto.execution<name=QueryExecution><>(.+): (.*)"
      name: "presto_QueryExecution_$1"
      value: $2
      attrNameSnakeCase: false
    - pattern: "com.facebook.presto.memory<name=ClusterMemoryManager><>(.+): (.*)"
      name: "presto_ClusterMemoryManager_$1"
      value: $2
      type: UNTYPED
      attrNameSnakeCase: false
    - pattern: "com.facebook.presto.memory<type=ClusterMemoryPool, name=(.*)><>(.+): (.*)"
      name: "presto_ClusterMemoryPool_$1_$2"
      type: UNTYPED
    - pattern: "com.facebook.presto.memory<type=MemoryPool, name=(.*)><>(.+): (.*)"
      name: "presto_MemoryPool_$1_$2"
      type: UNTYPED
    - pattern: 'java.lang<name=([^>]+), type=GarbageCollector><LastGcInfo>duration: (\d+)'
      name: jvm_gc_duration
      value: $2
      labels:
        name: $1
      type: UNTYPED
    - pattern: 'java.lang<name=([^>]+), type=GarbageCollector><>CollectionCount: (\d+)'
      name: jvm_gc_collection_count
      value: $2
      labels:
        name: $1
      type: UNTYPED
    - pattern: "java.lang<type=Memory><HeapMemoryUsage>used"
      name: jvm_heap_memory_used
      type: UNTYPED
    - pattern: "java.lang<type=Memory><HeapMemoryUsage>committed"
      name: jvm_heap_memory_committed
      type: UNTYPED
    - pattern: "java.lang<type=Memory><NonHeapMemoryUsage>used"
      name: jvm_nonheap_memory_used
      type: UNTYPED
    - pattern: "java.lang<type=Memory><NonHeapMemoryUsage>committed"
      name: jvm_nonheap_memory_committed
      type: UNTYPED

Validate the JMX Exporter

curl http://localhost:<exporter_port>/metrics

Configure logs location.

node.data-dir=/var/presto/data

Install Presto integration for Grafana Cloud

In your Grafana Cloud stack, click Connections in the left-hand menu.
Find Presto and click its tile to open the integration.
Review the prerequisites in the Configuration Details tab and set up Grafana Agent to send Presto metrics and logs to your Grafana Cloud instance.
Click Install to add this integration’s pre-built dashboards and alerts to your Grafana Cloud instance, and you can start monitoring your Presto setup.

Post-install configuration for the Presto integration

After enabling the metrics generation, instruct the Grafana Agent to scrape the Presto metrics that have been created by the JMX exporter. The Grafana Agent config is stored in the default location for each respective operating system. More documentation for the Grafana Agent can be found here: Grafana Agent documentation.

Enable the integration by adding the suggested snippets to your agent configuration file.

If you want to show logs and metrics signals correlated in your dashboards as a single pane of glass, ensure the following:

job and instance label values must match for the Presto integration and logs scrape config in your agent configuration file.
job must be set to integrations/presto (already configured in the snippets).
instance must be set to a value that uniquely identifies your Presto instance.
presto_cluster must be the value that identifies the Presto cluster this instance belongs to.
__path__ is the Presto logs location. Presto does not have a default log location, but users can configure one within the node.properties file in their Presto installation directory. Instructions for this integration should lead to the __path__ being /var/presto/data/var/log/server.log. Make sure to change targets in the snippet according to your host name and JMX_EXPORTER_PORT.

Configuration snippets for Grafana Agent

Below metrics.configs.scrape_configs, insert the following lines and change the URLs according to your environment:

    - job_name: integrations/presto
      metrics_path: /metrics
      static_configs:
        - targets: ["<your-instance-hostname>:<your-instance-port>"]
          labels:
            presto_cluster: '<your-presto-cluster-name>'

Below logs.configs.scrape_configs, insert the following lines according to your environment.

    - job_name: integrations/presto
      static_configs:
        - targets: [localhost]
          labels:
            job: integrations/presto
            presto_cluster: '<your-presto-cluster-name>'
            instance: '<your-instance-hostname>:<your-instance-port>'
            __path__: /var/presto/data/var/log/server.log
      pipeline_stages:
      - multiline:
          firstline: '\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\.\d{3}'
      - regex:
          expression: '\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\.\d{3}Z\s+(?P<level>\w+)(?P<message>.+)' 
      - labels:
          level:

Full example configuration for Grafana Agent

Refer to the following Grafana Agent configuration for a complete example that contains all the snippets used for the Presto integration. This example also includes metrics that are sent to monitor your Grafana Agent instance.

integrations:
  prometheus_remote_write:
  - basic_auth:
      password: <your_prom_pass>
      username: <your_prom_user>
    url: <your_prom_url>
  agent:
    enabled: true
    relabel_configs:
    - action: replace
      source_labels:
      - agent_hostname
      target_label: instance
    - action: replace
      target_label: job
      replacement: "integrations/agent-check"
    metric_relabel_configs:
    - action: keep
      regex: (prometheus_target_sync_length_seconds_sum|prometheus_target_scrapes_.*|prometheus_target_interval.*|prometheus_sd_discovered_targets|agent_build.*|agent_wal_samples_appended_total|process_start_time_seconds)
      source_labels:
      - __name__
  # Add here any snippet that belongs to the `integrations` section.
  # For a correct indentation, paste snippets copied from Grafana Cloud at the beginning of the line.
logs:
  configs:
  - clients:
    - basic_auth:
        password: <your_loki_pass>
        username: <your_loki_user>
      url: <your_loki_url>
    name: integrations
    positions:
      filename: /tmp/positions.yaml
    scrape_configs:
      # Add here any snippet that belongs to the `logs.configs.scrape_configs` section.
      # For a correct indentation, paste snippets copied from Grafana Cloud at the beginning of the line.
    - job_name: integrations/presto
      static_configs:
        - targets: [localhost]
          labels:
            job: integrations/presto
            presto_cluster: '<your-presto-cluster-name>'
            instance: '<your-instance-hostname>:<your-instance-port>'
            __path__: /var/presto/data/var/log/server.log
      pipeline_stages:
      - multiline:
          firstline: '\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\.\d{3}'
      - regex:
          expression: '\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\.\d{3}Z\s+(?P<level>\w+)(?P<message>.+)' 
      - labels:
          level:
metrics:
  configs:
  - name: integrations
    remote_write:
    - basic_auth:
        password: <your_prom_pass>
        username: <your_prom_user>
      url: <your_prom_url>
    scrape_configs:
      # Add here any snippet that belongs to the `metrics.configs.scrape_configs` section.
      # For a correct indentation, paste snippets copied from Grafana Cloud at the beginning of the line.
    - job_name: integrations/presto
      metrics_path: /metrics
      static_configs:
        - targets: ["<your-instance-hostname>:<your-instance-port>"]
          labels:
            presto_cluster: '<your-presto-cluster-name>'
  global:
    scrape_interval: 60s
  wal_directory: /tmp/grafana-agent-wal

Dashboards

The Presto integration installs the following dashboards in your Grafana Cloud instance to help monitor your system.

Presto coordinator
Presto logs overview
Presto overview
Presto worker

Presto overview (queries)

Presto overview (processing)

Presto coordinator (queries)

Alerts

The Presto integration includes the following useful alerts:

Alert	Description
PrestoHighInsufficientResources	Critical: The amount of failures that are occurring due to insufficient resources are scaling, causing saturation in the system.
PrestoHighTaskFailuresWarning	Warning: The amount of tasks that are failing is increasing, this might affect query processing and could result in incomplete or incorrect results.
PrestoHighTaskFailuresCritical	Critical: The amount of tasks that are failing has reached a critical level. This might affect query processing and could result in incomplete or incorrect results.
PrestoHighQueuedTaskCount	Warning: The amount of tasks that are being put in queue is increasing. A high number of queued tasks can lead to increased query latencies and degraded system performance.
PrestoHighBlockedNodes	Critical: The amount of nodes that are blocked due to memory restrictions is increasing. Blocked nodes can cause performance degradation and resource starvation.
PrestoHighFailedQueriesWarning	Warning: The amount of queries failing is increasing. Failed queries can prevent users from accessing data, disrupt analytics processes, and might indicate underlying issues with the system or data.
PrestoHighFailedQueriesCritical	Critical: The amount of queries failing has increased to critical levels. Failed queries can prevent users from accessing data, disrupt analytics processes, and might indicate underlying issues with the system or data.

Metrics

The most important metrics provided by the Presto integration, which are used on the pre-built dashboards and Prometheus alerts, are as follows:

jvm_gc_collection_count
jvm_gc_duration
jvm_heap_memory_committed
jvm_heap_memory_used
jvm_nonheap_memory_committed
jvm_nonheap_memory_used
presto_ClusterMemoryPool_general_BlockedNodes
presto_ClusterMemoryPool_general_FreeDistributedBytes
presto_ClusterMemoryPool_reserved_FreeDistributedBytes
presto_HeartbeatDetector_ActiveCount
presto_MemoryPool_general_FreeBytes
presto_MemoryPool_reserved_FreeBytes
presto_QueryExecution_Executor_QueuedTaskCount
presto_QueryManager_AbandonedQueries_OneMinute_Count
presto_QueryManager_AbandonedQueries_TotalCount
presto_QueryManager_CanceledQueries_OneMinute_Count
presto_QueryManager_CanceledQueries_TotalCount
presto_QueryManager_CompletedQueries_OneMinute_Count
presto_QueryManager_CompletedQueries_OneMinute_Rate
presto_QueryManager_ConsumedCpuTimeSecs_OneMinute_Count
presto_QueryManager_CpuInputByteRate_OneMinute_Total
presto_QueryManager_ExecutionTime_OneMinute_P50
presto_QueryManager_ExecutionTime_OneMinute_P75
presto_QueryManager_ExecutionTime_OneMinute_P95
presto_QueryManager_ExecutionTime_OneMinute_P99
presto_QueryManager_FailedQueries_OneMinute_Count
presto_QueryManager_FailedQueries_TotalCount
presto_QueryManager_InsufficientResourcesFailures_OneMinute_Rate
presto_QueryManager_InsufficientResourcesFailures_TotalCount
presto_QueryManager_InternalFailures_OneMinute_Count
presto_QueryManager_InternalFailures_OneMinute_Rate
presto_QueryManager_QueuedQueries
presto_QueryManager_RunningQueries
presto_QueryManager_StartedQueries_OneMinute_Count
presto_QueryManager_StartedQueries_OneMinute_Rate
presto_QueryManager_UserErrorFailures_OneMinute_Count
presto_QueryManager_UserErrorFailures_OneMinute_Rate
presto_TaskExecutor_ProcessorExecutor_CompletedTaskCount
presto_TaskExecutor_ProcessorExecutor_CorePoolSize
presto_TaskExecutor_ProcessorExecutor_PoolSize
presto_TaskExecutor_ProcessorExecutor_QueuedTaskCount
presto_TaskManager_FailedTasks_TotalCount
presto_TaskManager_InputDataSize_OneMinute_Rate
presto_TaskManager_OutputDataSize_OneMinute_Rate
presto_TaskManager_OutputPositions_OneMinute_Rate
presto_TaskManager_TaskNotificationExecutor_PoolSize
presto_metadata_DiscoveryNodeManager_ActiveCoordinatorCount
presto_metadata_DiscoveryNodeManager_ActiveNodeCount
presto_metadata_DiscoveryNodeManager_ActiveResourceManagerCount
presto_metadata_DiscoveryNodeManager_InactiveNodeCount
up

Changelog

# 1.0.1 - November 2024

- Update status panel check queries

# 1.0.0 - November 2023

- Initial release

Cost

By connecting your Presto instance to Grafana Cloud, you might incur charges. To view information on the number of active series that your Grafana Cloud account uses for metrics included in each Cloud tier, see Active series and dpm usage and Cloud tier pricing.

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Presto integration for Grafana Cloud

Before you begin

Enable the JMX Exporter

Configure the JMX Exporter metrics collection

Validate the JMX Exporter

Configure logs location.

Install Presto integration for Grafana Cloud

Configuration snippets for Grafana Alloy

Advanced mode

Advanced metrics snippets

Advanced logs snippets

darwin

linux

windows

Grafana Agent static configuration (deprecated)

Before you begin

Enable the JMX Exporter

Configure the JMX Exporter metrics collection

Validate the JMX Exporter

Configure logs location.

Install Presto integration for Grafana Cloud

Post-install configuration for the Presto integration

Configuration snippets for Grafana Agent

Full example configuration for Grafana Agent

Dashboards

Alerts

Metrics

Changelog

Cost

Was this page helpful?

Related documentation

Presto integration for Grafana Cloud

Before you begin

Enable the JMX Exporter

Configure the JMX Exporter metrics collection

Validate the JMX Exporter

Configure logs location.

Install Presto integration for Grafana Cloud

Configuration snippets for Grafana Alloy

Advanced mode

Advanced metrics snippets

Advanced logs snippets

darwin

linux

windows

Grafana Agent static configuration (deprecated)

Before you begin

Enable the JMX Exporter

Configure the JMX Exporter metrics collection

Validate the JMX Exporter

Configure logs location.

Install Presto integration for Grafana Cloud

Post-install configuration for the Presto integration

Configuration snippets for Grafana Agent

Full example configuration for Grafana Agent

Dashboards

Alerts

Metrics

Changelog

Cost

Was this page helpful?

Related documentation

Related resources from Grafana Labs