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InfluxDB monitoring

Achieve proactive database management and enhance system reliability with Site24x7's InfluxDB monitoring plugin. By keeping an eye on performance metrics, you can identify potential issues before they impact users, streamline troubleshooting, and ensure your InfluxDB instances operate at peak efficiency around the clock.

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What is InfluxDB?

InfluxDB is a powerful time series database optimized for fast, large-scale data collection and analysis of timestamped data. Often used in DevOps, IoT, and real-time analytics, it supports high ingestion rates and complex queries, making it ideal for tracking metrics, events, and performance trends across various applications and systems.

Monitor the performance of InfluxDB with Site24x7

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Ensure seamless operations and resource allocation by tracking key resources within InfluxDB, like buckets, dashboards, organizations, and users, providing insights into data storage, visualization usage, and user management.

Monitor database performance icon

Optimize memory usage, manage resource allocation, and maintain application stability by monitoring the memory and concurrency handling of the Go runtime (e.g., goroutines, memory allocation, and garbage collection).

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Ensure efficient task processing, minimize delays, and identify potential bottlenecks in task management by tracking task scheduling and execution (e.g., active runs, schedule calls, and execution failures) within InfluxDB.

Set alerts

Detect potential issues early and manage resources efficiently by monitoring performance trends with anomaly detection and setting up threshold-based alerts for sudden spikes or dips.

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Configure automated workflows to initiate corrective actions in InfluxDB when predefined thresholds are breached.

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Create personalized insights by building custom dashboards with easy drag-and-drop widgets, seamlessly pulling data from various parts of your infrastructure.

Get started with Site24x7's InfluxDB monitoring tool

Get Started

  • Supported Platforms:

Performance Metrics

The following metrics are captured by the plugin integration:

Metric Description
influxdb_buckets_total The total number of buckets created in InfluxDB. A bucket is a named location where time series data is stored.
influxdb_dashboards_total The total number of dashboards created. Dashboards are used for visualizing and analyzing time series data in InfluxDB.
influxdb_organizations_total The total number of organizations configured. An organization in InfluxDB represents a group or a collection of users.
influxdb_remotes_total The total number of remote connections or endpoints configured for data replication or querying across InfluxDB instances.
influxdb_replications_total The total number of active data replications. Replications allow data to be copied to another InfluxDB instance or bucket.
influxdb_scrapers_total The total number of scrapers configured. Scrapers are used to pull data from external sources, such as Prometheus endpoints, into InfluxDB.
influxdb_telegrafs_total The total number of Telegraf configurations in InfluxDB. Telegraf is the data collection agent that can be configured to send data to InfluxDB.
influxdb_users_total The total number of users created in the InfluxDB instance.
go_gc_duration_seconds_count The total number of garbage collection (GC) cycles completed by the Go runtime.
go_goroutines The current number of goroutines (lightweight threads) in use by the Go runtime.
go_memstats_alloc_bytes The number of bytes of memory currently allocated by the Go runtime.
go_memstats_buck_hash_sys_bytes The amount of memory used by the Go runtime for hash buckets.
go_memstats_frees_total The total number of memory free operations performed by the Go runtime.
go_memstats_gc_sys_bytes The amount of memory used by the Go runtime for GC metadata.
go_memstats_heap_alloc_bytes The number of bytes allocated on the heap.
go_memstats_heap_idle_bytes The number of bytes in the heap that are not in use.
go_memstats_heap_inuse_bytes The total number of buckets created in InfluxDB. A bucket is a named location where time series data is stored.
go_memstats_heap_released_bytes The number of bytes of heap memory released back to the operating system.
go_memstats_heap_sys_bytes The total amount of memory obtained from the system for the heap.
go_memstats_last_gc_time_seconds The Unix timestamp of when the last GC cycle finished.
go_memstats_lookups_total The total number of pointer lookups performed by the Go runtime.
go_memstats_mallocs_total The total number of memory allocation operations performed by the Go runtime.
go_memstats_mcache_inuse_bytes The number of bytes in use by the memory cache in the Go runtime.
go_memstats_mcache_sys_bytes The total memory obtained from the system for memory cache in the Go runtime.
go_memstats_mspan_inuse_bytes The number of bytes of memory spans in use by the Go runtime.
go_memstats_mspan_sys_bytes The total memory obtained from the system for memory spans in the Go runtime.
go_memstats_next_gc_bytes The target heap size for the next GC cycle.
go_memstats_other_sys_bytes The number of bytes used by other system memory in the Go runtime.
go_memstats_stack_inuse_bytes The number of bytes in use by the Go runtime's stack.
go_memstats_stack_sys_bytes The total memory obtained from the system for the Go runtime's stack.
go_memstats_sys_bytes The total amount of memory obtained from the system by the Go runtime.
go_threads The number of OS threads created by the Go runtime.
task_executor_promise_queue_usage The current usage of the promise queue in the task executor. This metric indicates how many promises are in the queue, which are essentially placeholders for future results.
task_executor_total_runs_active The total number of currently active task executions. This metric shows how many tasks are being executed at the moment.
task_executor_workers_busy The number of worker threads currently busy executing tasks.
task_scheduler_current_execution The current number of tasks being executed by the scheduler.
task_scheduler_execute_delta_count The number of times tasks have been executed, calculated as a delta over a period.
task_scheduler_total_execute_failure The total number of task execution failures.
task_scheduler_total_execution_calls The total number of calls made to execute tasks.
task_scheduler_total_release_calls The total number of calls made to release resources after task execution.
task_scheduler_total_schedule_calls The total number of calls made to schedule tasks.
task_scheduler_total_schedule_fails The total number of failures encountered while scheduling tasks.
task_scheduler_schedule_delay_count The count of delays encountered when scheduling tasks.
storage_retention_check_duration_count The total count of retention check operations performed. Retention checks are used to enforce data retention policies in InfluxDB, ensuring old data is removed according to defined rules.

Setup

Prerequisites

  • Download and install the Site24x7 server monitoring agent (Linux | Windows) on the server where you plan to run the plugin.

Installation

Linux
  • Create a folder named influxdb.
  • Download the influxdb.py and influxdb.cfg files from our GitHub repository and place them in the influxdb folder.
    wget https://raw.githubusercontent.com/site24x7/plugins/master/influxdb/influxdb.py && sed -i "1s|^.*|#! $(which python3)|" influxdb.py
    wget https://raw.githubusercontent.com/site24x7/plugins/master/influxdb/influxdb.cfg
  • To check if the plugin is working, execute the command below with appropriate arguments and check for a valid JSON output with applicable metrics and their corresponding values.
    python3 influxdb.py --host_name "hosname or ipaddress" --port "port no"
  • Add the applicable configurations in the influxdb.cfg file.
    [influxdb_instance]
    host_name = "localhost"
    port = "8086"
  • Follow the steps in this article to learn how to run the Python script on a Windows server. This isn't needed for Linux.
  • Move the influxdb folder to the Site24x7 server monitoring plugin directory.
    For Linux: /opt/site24x7/monagent/plugins/
    For Windows: C:\Program Files (x86)\Site24x7\WinAgent\monitoring\plugins/

The agent will automatically execute the plugin within five minutes and display the performance data in Site24x7.

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