OpenStack and VictoriaMetrics Integration

Powerful performance with an easy integration, powered by Telegraf, the open source data connector built by InfluxData.

info

This is not the recommended configuration for real-time query at scale. For query and compression optimization, high-speed ingest, and high availability, you may want to consider OpenStack and InfluxDB.

5B+

Telegraf downloads

#1

Time series database
Source: DB Engines

1B+

Downloads of InfluxDB

2,800+

Contributors

Table of Contents

Powerful Performance, Limitless Scale

Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.

See Ways to Get Started

Input and output integration overview

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

This plugin enables Telegraf to efficiently write metrics directly into VictoriaMetrics using the InfluxDB line protocol, leveraging the performance and scalability features of VictoriaMetrics for large-scale time-series data.

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.

VictoriaMetrics

VictoriaMetrics supports direct ingestion of metrics in the InfluxDB line protocol, making this plugin ideal for efficient real-time metric storage and retrieval. The integration combines Telegraf’s extensive metric collection capabilities with VictoriaMetrics’ optimized storage and querying features, including compression, fast ingestion rates, and efficient disk utilization. Ideal for cloud-native and large-scale monitoring scenarios, this plugin offers simplicity, robust performance, and high reliability, enabling advanced operational insights and long-term storage solutions for large volumes of metrics.

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

VictoriaMetrics

[[outputs.influxdb]]
  ## URL of the VictoriaMetrics write endpoint
  urls = ["http://localhost:8428"]

  ## VictoriaMetrics accepts InfluxDB line protocol directly
  database = "db_name"

  ## Optional authentication
  # username = "username"
  # password = "password"
  # skip_database_creation = true
  # exclude_retention_policy_tag = true
  # content_encoding = "gzip"

  ## Timeout for HTTP requests
  timeout = "5s"

  ## Optional TLS configuration
  # tls_ca = "/path/to/ca.pem"
  # tls_cert = "/path/to/cert.pem"
  # tls_key = "/path/to/key.pem"
  # insecure_skip_verify = false

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.

VictoriaMetrics

  1. Cloud-Native Application Monitoring: Stream metrics from microservices deployed on Kubernetes directly into VictoriaMetrics. By centralizing metrics, organizations can perform real-time monitoring, rapid anomaly detection, and seamless scalability across dynamically evolving cloud environments.

  2. Scalable IoT Data Management: Use the plugin to ingest sensor data from IoT deployments into VictoriaMetrics. This approach facilitates real-time analytics, predictive maintenance, and efficient management of massive volumes of sensor data with minimal storage overhead.

  3. Financial Systems Performance Tracking: Leverage VictoriaMetrics via this plugin to store and analyze metrics from financial systems, capturing latency, transaction volume, and error rates. Organizations can rapidly identify and resolve performance bottlenecks, ensuring high availability and regulatory compliance.

  4. Cross-Environment Performance Dashboards: Integrate metrics from diverse infrastructure components—such as cloud instances, containers, and physical servers into VictoriaMetrics. Using visualization tools, teams can build comprehensive dashboards for end-to-end performance visibility, proactive troubleshooting, and infrastructure optimization.

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.

Powerful Performance, Limitless Scale

Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.

See Ways to Get Started

Related Integrations

HTTP and InfluxDB Integration

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.

View Integration

Kafka and InfluxDB Integration

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations including different Kafka settings and message processing options.

View Integration

Kinesis and InfluxDB Integration

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.

View Integration