DataSource datapoint in logicmonitor

 In LogicMonitor, a DataSource is a set of instructions for collecting specific data from a monitored device. Each DataSource is designed to gather a particular type of data, such as CPU usage, memory usage, network traffic, or disk space. DataSources are highly customizable and can be tailored to collect almost any type of metric.

Key Components of a DataSource:

  1. Collection Methods: Specifies how the data is collected. This can include SNMP, WMI, JMX, HTTP, scripts, and more.
  2. Instances: Defines the specific objects or components from which data will be collected. For example, individual network interfaces or disk drives.
  3. Datapoints: The individual metrics or pieces of data that are collected by the DataSource. Each DataSource can have multiple datapoints.

Datapoints in LogicMonitor:

A datapoint is an individual metric within a DataSource. Each datapoint represents a specific piece of data that is being collected from a device. For example, a DataSource monitoring CPU usage might have datapoints for the current CPU usage percentage, user CPU time, and system CPU time.

Types of Datapoints:

  1. Gauge: Measures the current value of a metric, such as temperature or CPU usage.
  2. Counter: Measures the rate of change over time, such as the number of bytes sent per second over a network interface.
  3. Computed: A datapoint derived from other datapoints using a formula or calculation.

Creating and Managing Datapoints:

  1. Adding Datapoints: When creating or editing a DataSource, you can add new datapoints by specifying the type of data to be collected, the collection method, and any necessary parameters.
  2. Editing Datapoints: You can modify existing datapoints to change how data is collected, the interval at which data is collected, or the way data is processed.
  3. Custom Datapoints: LogicMonitor allows you to create custom datapoints to collect specific metrics that are not covered by default DataSources.

Example of a DataSource with Datapoints:

Consider a DataSource designed to monitor a server's CPU usage:

  • DataSource Name: Server CPU Usage
    • Collection Method: SNMP
    • Instances: Each CPU core
    • Datapoints:
      • Current CPU Usage (Gauge)
      • User CPU Time (Gauge)
      • System CPU Time (Gauge)
      • Idle CPU Time (Gauge)
      • CPU Usage Rate (Counter)

Each datapoint within this DataSource provides specific information about the CPU's performance, allowing administrators to monitor and analyze CPU usage in detail.

Importance of Datapoints:

  • Detailed Monitoring: Provides granular data about various aspects of device performance.
  • Alerting: Enables the creation of alerts based on specific datapoint thresholds, helping to identify and address issues promptly.
  • Reporting: Allows for detailed reports and historical analysis of collected data, supporting capacity planning and trend analysis.

Overall, datapoints are a fundamental part of LogicMonitor's data collection and monitoring capabilities, providing the detailed metrics necessary for effective IT infrastructure management.

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