OpenStack and Graylog Integration
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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.
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Input and output integration overview
This plugin collects metrics from essential OpenStack services, facilitating the monitoring and management of cloud infrastructures.
The Graylog plugin allows you to send Telegraf metrics to a Graylog server, utilizing the GELF format for structured logging.
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.
Graylog
The Graylog plugin is designed for sending metrics to a Graylog instance using the GELF (Graylog Extended Log Format) format. GELF helps standardize the logging data, making it easier for systems to send and analyze logs. The plugin adheres to the GELF specification, which lays out requirements for specific fields within the payload. Notably, the timestamp must be in UNIX format, and if present, the plugin sends the timestamp as-is to Graylog without alterations. If omitted, it automatically generates a timestamp. Additionally, any extra fields not explicitly defined by the spec will be prefixed with an underscore, helping to keep the data organized and compliant with GELF’s requirements. This capability is particularly valuable for users monitoring applications and infrastructure in real-time, as it allows for seamless integration and improved visibility across multiple systems.
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
Graylog
[[outputs.graylog]]
## Endpoints for your graylog instances.
servers = ["udp://127.0.0.1:12201"]
## Connection timeout.
# timeout = "5s"
## The field to use as the GELF short_message, if unset the static string
## "telegraf" will be used.
## example: short_message_field = "message"
# short_message_field = ""
## According to GELF payload specification, additional fields names must be prefixed
## with an underscore. Previous versions did not prefix custom field 'name' with underscore.
## Set to true for backward compatibility.
# name_field_no_prefix = false
## Connection retry options
## Attempt to connect to the endpoints if the initial connection fails.
## If 'false', Telegraf will give up after 3 connection attempt and will
## exit with an error. If set to 'true', the plugin will retry to connect
## to the unconnected endpoints infinitely.
# connection_retry = false
## Time to wait between connection retry attempts.
# connection_retry_wait_time = "15s"
## 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
Input and output integration examples
OpenStack
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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.
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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.
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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.
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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.
Graylog
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Enhanced Log Management for Cloud Applications: Use the Graylog Telegraf plugin to aggregate logs from cloud-deployed applications across multiple servers. By integrating this plugin, teams can centralize logging data, making it easier to troubleshoot issues, monitor application performance, and maintain compliance with logging standards.
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Real-Time Security Monitoring: Leverage the Graylog plugin to collect and send security-related metrics and logs to a Graylog server for real-time analysis. This allows security teams to quickly identify anomalies, track potential breaches, and respond to incidents promptly by correlating logs from various sources within the infrastructure.
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Dynamic Alerting and Notification System: Implement the Graylog plugin to enhance alerting mechanisms in your infrastructure. By sending metrics to Graylog, teams can set up dynamic alerts based on log patterns or unexpected behavior, enabling proactive monitoring and rapid incident response strategies.
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Cross-Platform Log Consolidation: Use the Graylog plugin to facilitate cross-platform log consolidation across diverse environments such as on-premises, hybrid, and cloud. By standardizing logging in the GELF format, organizations can ensure consistent monitoring and troubleshooting practices, regardless of where their services are hosted.
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
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