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Apache HBase integration for Grafana Cloud

Apache HBase is an open-source non-relational distributed database modeled after Google’s Bigtable and written in Java. It is developed as part of Apache Software Foundation’s Apache Hadoop project and runs on top of HDFS or Alluxio, providing Bigtable-like capabilities for Hadoop.

This integration supports Apache HBase versions 3.0.0+

This integration includes 5 useful alerts and 3 pre-built dashboards to help monitor and visualize Apache HBase metrics and logs.

Before you begin

Apache HBase requires a JDK, Apache Zookeeper, and one of Hadoop or Alluxio. Ensure that each of these is installed and configured. Refer to this documentation for prerequisites and compatible versions for Apache HBase.

Apache HBase exposes a Prometheus metrics endpoint that is enabled by default.

Install Apache HBase integration for Grafana Cloud

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

Post-install configuration for the Apache HBase integration

After enabling the metrics generation, instruct the Grafana Agent to scrape your Apache HBase instance.

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

  • job, hbase_cluster, and instance label values must match for metrics and logs scrape config in your agent configuration file.
  • job label must be set to integrations/apache-hbase (already configured in the snippets).
  • hbase_cluster label must be set to a value that identifies your Apache HBase cluster.
  • instance label must be set to a value that uniquely identifies your Apache HBase node. Please replace the default hostname value according to your environment - it must be set manually.

Configuration snippets for Grafana Agent

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

yaml
    - job_name: integrations/apache-hbase
      metrics_path: /prometheus
      static_configs:
        - targets: ["localhost:<hostport>"]
          labels:
            hbase_cluster: '<your-cluster-name>'
            instance: '<your-instance-name>'

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

yaml
    - job_name: integrations/apache-hbase
      static_configs:
        - targets: [localhost]
          labels:
            job: integrations/apache-hbase
            hbase_cluster: '<your-cluster-name>'
            instance: '<your-instance-name>'
            __path__: <hbase_home>/logs/*.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} (?P<level>\w+)  \[(.*)\] (?P<logger>\w+.\w+): (?P<message>(?s:.*))$'
        - labels:
            level:
            logger:

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 Apache HBase integration. This example also includes metrics that are sent to monitor your Grafana Agent instance.

yaml
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_.*|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/apache-hbase
      static_configs:
        - targets: [localhost]
          labels:
            job: integrations/apache-hbase
            hbase_cluster: '<your-cluster-name>'
            instance: '<your-instance-name>'
            __path__: <hbase_home>/logs/*.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} (?P<level>\w+)  \[(.*)\] (?P<logger>\w+.\w+): (?P<message>(?s:.*))$'
        - labels:
            level:
            logger:
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/apache-hbase
      metrics_path: /prometheus
      static_configs:
        - targets: ["localhost:<hostport>"]
          labels:
            hbase_cluster: '<your-cluster-name>'
            instance: '<your-instance-name>'
  global:
    scrape_interval: 60s
  wal_directory: /tmp/grafana-agent-wal

Dashboards

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

  • Apache HBase RegionServer overview
  • Apache HBase cluster overview
  • Apache HBase logs overview

Apache HBase cluster overview (status)

image

Apache HBase RegionServer overview (performance)

image

Apache HBase logs overview

image

Alerts

The Apache HBase integration includes the following useful alerts:

AlertDescription
HBaseHighHeapMemUsageWarning: There is a limited amount of heap memory available to the JVM.
HBaseDeadRegionServerWarning: One or more RegionServer(s) has become unresponsive.
HBaseOldRegionsInTransitionWarning: RegionServers are in transition for longer than expected.
HBaseHighMasterAuthFailRateWarning: A high percentage of authentication attempts to the master are failing.
HBaseHighRSAuthFailRateWarning: A high percentage of authentication attempts to a RegionServer are failing.

Metrics

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

  • assignment_manager_rit_count
  • assignment_manager_rit_count_over_threshold
  • assignment_manager_rit_oldest_age
  • jvm_metrics_mem_heap_committed_m
  • jvm_metrics_mem_heap_used_m
  • master_authentication_failures
  • master_authentication_successes
  • master_num_calls_in_general_queue
  • master_num_calls_in_priority_queue
  • master_num_calls_in_read_queue
  • master_num_calls_in_replication_queue
  • master_num_calls_in_scan_queue
  • master_num_calls_in_write_queue
  • master_num_open_connections
  • master_queue_size
  • region_server_authentication_failures
  • region_server_authentication_successes
  • region_server_num_calls_in_general_queue
  • region_server_num_calls_in_priority_queue
  • region_server_num_calls_in_read_queue
  • region_server_num_calls_in_replication_queue
  • region_server_num_calls_in_scan_queue
  • region_server_num_calls_in_write_queue
  • region_server_num_open_connections
  • server_block_cache_express_hit_percent
  • server_num_dead_region_servers
  • server_num_reference_files
  • server_num_region_servers
  • server_region_count
  • server_slow_append_count
  • server_slow_delete_count
  • server_slow_get_count
  • server_slow_increment_count
  • server_slow_put_count
  • server_store_file_count
  • server_store_file_size
  • server_total_request_count

Changelog

md
# 1.0.0 - November 2023

- Initial release

Cost

By connecting your Apache HBase 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.