OpenStack and Librato Integration

Input and output integration overview

This plugin collects metrics from essential OpenStack services, facilitating the monitoring and management of cloud infrastructures.

The Librato plugin for Telegraf is designed to facilitate seamless integration with the Librato Metrics API, allowing for efficient metric reporting and monitoring.

Integration details

OpenStack

The OpenStack plugin allows users to collect performance metrics from various OpenStack services such as CINDER, GLANCE, HEAT, KEYSTONE, NEUTRON, and NOVA. It supports multiple OpenStack APIs to fetch critical metrics related to these services, enabling comprehensive monitoring and management of cloud resources. As organizations increasingly adopt OpenStack for their cloud infrastructure, this plugin plays a vital role in providing insights into resource usage, availability, and performance across the cloud environment. Configuration options allow for customized polling intervals and filtering unwanted tags to optimize performance and cardinals.

Librato

The Librato plugin enables Telegraf to send metrics to the Librato Metrics API. To authenticate, users must provide an api_user and api_token, which can be acquired from the Librato account settings. This integration allows for efficient monitoring and reporting of custom metrics within the Librato platform. The plugin also utilizes a source_tag option that can enrich the metrics with contextual information from Point Tags; however, it does not currently support sending associated Point Tags. It is essential to note that any point value sent that cannot be converted to a float64 type will be skipped, ensuring that only valid metrics are processed and sent to Librato. The plugin also supports secret-store options for managing sensitive authentication credentials securely, facilitating best practices in credential management.

Configuration

OpenStack

[[inputs.openstack]]
  ## The recommended interval to poll is '30m'

  ## The identity endpoint to authenticate against and get the service catalog from.
  authentication_endpoint = "https://my.openstack.cloud:5000"

  ## The domain to authenticate against when using a V3 identity endpoint.
  # domain = "default"

  ## The project to authenticate as.
  # project = "admin"

  ## User authentication credentials. Must have admin rights.
  username = "admin"
  password = "password"

  ## Available services are:
  ## "agents", "aggregates", "cinder_services", "flavors", "hypervisors",
  ## "networks", "nova_services", "ports", "projects", "servers",
  ## "serverdiagnostics", "services", "stacks", "storage_pools", "subnets",
  ## "volumes"
  # enabled_services = ["services", "projects", "hypervisors", "flavors", "networks", "volumes"]

  ## Query all instances of all tenants for the volumes and server services
  ## NOTE: Usually this is only permitted for administrators!
  # query_all_tenants = true

  ## output secrets (such as adminPass(for server) and UserID(for volume)).
  # output_secrets = false

  ## Amount of time allowed to complete the HTTP(s) request.
  # timeout = "5s"

  ## HTTP Proxy support
  # http_proxy_url = ""

  ## Optional TLS Config
  # tls_ca = /path/to/cafile
  # tls_cert = /path/to/certfile
  # tls_key = /path/to/keyfile
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false

  ## Options for tags received from Openstack
  # tag_prefix = "openstack_tag_"
  # tag_value = "true"

  ## Timestamp format for timestamp data received from Openstack.
  ## If false format is unix nanoseconds.
  # human_readable_timestamps = false

  ## Measure Openstack call duration
  # measure_openstack_requests = false

Librato

[[outputs.librato]]
  ## Librato API Docs
  ## http://dev.librato.com/v1/metrics-authentication
  ## Librato API user
  api_user = "[email protected]" # required.
  ## Librato API token
  api_token = "my-secret-token" # required.
  ## Debug
  # debug = false
  ## Connection timeout.
  # timeout = "5s"
  ## Output source Template (same as graphite buckets)
  ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite
  ## This template is used in librato's source (not metric's name)
  template = "host"

Input and output integration examples

OpenStack

1. Cross-Cloud Management: Leverage the OpenStack plugin to monitor and manage multiple OpenStack clouds from a single Telegraf instance. By aggregating metrics across different clouds, organizations can gain insights into resource utilization and optimize their cloud architecture for cost and performance.

2. Automated Scaling Based on Metrics: Integrate the metrics gathered from OpenStack into an automated scaling solution. For example, if the plugin detects that a specific service’s performance is degraded, it can trigger auto-scaling rules to launch additional instances, ensuring that system performance remains optimal under varying workloads.

3. Performance Monitoring Dashboard: Use data collected by the OpenStack Telegraf plugin to power real-time monitoring dashboards. This setup provides visualizations of key metrics from OpenStack services, enabling stakeholders to quickly identify trends, pinpoint issues, and make data-driven decisions in managing their cloud infrastructure.

4. Reporting and Analysis of Service Availability: By utilizing the metrics collected from various OpenStack services, teams can generate detailed reports on service availability and performance over time. This information can help identify recurring issues, improve service delivery, and make informed decisions regarding changes in infrastructure or service configuration.

Librato

1. Real-time Application Monitoring: Utilize Librato to collect performance metrics from a web application in real-time. This setup involves sending response times, error rates, and user interactions to Librato, allowing developers to monitor the application’s health and performance metrics closely. By analyzing these metrics, teams can quickly identify and address performance bottlenecks or application failures before they impact end users.

2. Infrastructure Metrics Aggregation: Leverage this plugin to gather and send metrics from various infrastructure components, such as servers or containers, to Librato for centralized monitoring. Configuring the plugin to send CPU, memory usage, and disk I/O metrics enables system administrators to have a comprehensive view of infrastructure performance, assisting in capacity planning and resource optimization strategies.

3. Custom Metrics for Business Operations: Feed business-specific metrics, such as sales transactions or user sign-ups, to the Librato service using this plugin. By tracking these custom metrics, businesses can gain insights into their operational performance and make data-driven decisions to enhance their strategies, marketing efforts, or product development initiatives.

4. Anomaly Detection in Metrics: Implement monitoring tools that utilize machine learning for anomaly detection. By continuously sending real-time metrics to Librato, teams can analyze trends and automatically flag unusual behavior, such as sudden spikes in latency or unusual traffic patterns, enabling timely intervention and troubleshooting.

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