HAProxy and GroundWork Integration

Input and output integration overview

This plugin gathers and reports statistics from HAProxy, a popular open-source load balancer and proxy server, to help in monitoring and optimizing its performance.

This plugin writes to a GroundWork Monitor instance, allowing for effective metrics management and monitoring in a centralized manner.

Integration details

HAProxy

The HAProxy plugin for Telegraf enables users to gather statistics directly from a HAProxy server via its stats socket or HTTP statistics page. HAProxy is a widely employed software load balancer and proxy server that provides high availability and performance for TCP and HTTP applications. By integrating with HAProxy, this plugin allows users to monitor and analyze various performance metrics such as active server counts, request rates, response codes, and session statuses in real-time, facilitating better decision-making and proactive management of network resources. Key features include support for both HTTP and socket-based metrics collection, compatibility with basic authentication for secure access, and configurable options for metric field naming, allowing for customization tailored to user preferences.

GroundWork

The GroundWork plugin enables Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8 and newer versions. This integration allows users to leverage the robust monitoring capabilities of GroundWork, enabling comprehensive oversight of metrics collected from diverse sources. Users can specify various parameters such as the GroundWork instance URL, agent IDs, and authentication credentials, allowing for a tailored fit within their existing monitoring setups. It also supports secret-store secrets to enhance security for sensitive fields like username and password. Tags used within the plugin provide fine-grained control over how metrics are categorized and displayed within the GroundWork interface, allowing for custom configurations that adapt to different monitoring needs. However, users should be aware that string metrics are currently not supported by GroundWork, impacting how they manage their data.

Configuration

HAProxy

[[inputs.haproxy]]
  ## List of stats endpoints. Metrics can be collected from both http and socket
  ## endpoints. Examples of valid endpoints:
  ##   - http://myhaproxy.com:1936/haproxy?stats
  ##   - https://myhaproxy.com:8000/stats
  ##   - socket:/run/haproxy/admin.sock
  ##   - /run/haproxy/*.sock
  ##   - tcp://127.0.0.1:1936
  ##
  ## Server addresses not starting with 'http://', 'https://', 'tcp://' will be
  ## treated as possible sockets. When specifying local socket, glob patterns are
  ## supported.
  servers = ["http://myhaproxy.com:1936/haproxy?stats"]

  ## By default, some of the fields are renamed from what haproxy calls them.
  ## Setting this option to true results in the plugin keeping the original
  ## field names.
  # keep_field_names = false

  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false

GroundWork

[[outputs.groundwork]]
  ## URL of your groundwork instance.
  url = "https://groundwork.example.com"

  ## Agent uuid for GroundWork API Server.
  agent_id = ""

  ## Username and password to access GroundWork API.
  username = ""
  password = ""

  ## Default application type to use in GroundWork client
  # default_app_type = "TELEGRAF"

  ## Default display name for the host with services(metrics).
  # default_host = "telegraf"

  ## Default service state.
  # default_service_state = "SERVICE_OK"

  ## The name of the tag that contains the hostname.
  # resource_tag = "host"

  ## The name of the tag that contains the host group name.
  # group_tag = "group"

Input and output integration examples

HAProxy

1. Dynamic Load Adjustment: Utilize the HAProxy plugin to monitor traffic patterns in real time, enabling automated adjustments to load balancing algorithms. By continuously gathering metrics on server loads and request rates, system administrators can dynamically allocate resources, ensuring that no single server becomes a bottleneck, thus enhancing overall application performance and availability.

2. Historical Performance Analytics: Integrate this plugin with a time series database to collect HAProxy metrics over time, allowing you to analyze historical performance and traffic trends. This can facilitate predictive analysis and planning for capacity, giving businesses insights into peak traffic times and helping to identify potential future resource needs.

3. Alerting on Anomalies: Implement alerting workflows that trigger when unusual patterns are detected in HAProxy metrics, such as sudden spikes in error rates or drops in request handling capacity. By leveraging this plugin, operations teams can receive timely notifications, allowing for swift intervention and minimizing the impact of potential downtime on end-users.

GroundWork

1. Centralized Monitoring Dashboard: Use the GroundWork plugin to aggregate metrics from multiple Telegraf instances into a single GroundWork Monitor dashboard. This configuration offers complete visibility into system health across various components, enabling swift identification of performance bottlenecks and improved incident response times.

2. Service Health Monitoring with Alerts: Configure this plugin to send critical service metrics to GroundWork, establishing a robust alerting system. Metrics such as CPU usage and service statuses can trigger alerts based on threshold values, informing administrators of potential issues before they escalate, thereby enhancing system reliability.

3. Historical Data Analysis: Leverage the historical metric capabilities of GroundWork using this plugin to conduct trend analysis over time. This application allows organizations to make data-driven decisions based on comprehensive historical performance metrics, which can assist in capacity planning and optimize resource allocation.

4. Custom Service Tags for Enhanced Monitoring: Extend the functionality of this plugin by utilizing custom tags for different services and hosts. By customizing these tags, users can filter and categorize metrics more effectively within their monitoring framework, leading to tailored monitoring experiences that align specifically with business objectives.

Feedback

Thank you for being part of our community! If you have any general feedback or found any bugs on these pages, we welcome and encourage your input. Please submit your feedback in the InfluxDB community Slack.