InfluxData today announced the significant growth and popularity of Telegraf, its open source project used for collecting and reporting metrics.
Telegraf, a plugin-driven small footprint agent, is proven easy to use and extend for collecting and reporting metrics. As a result of its popularity, Telegraf has built a vibrant and growing community of users and contributors. The growth and breadth of agents Telegraf supports has increased more than 80 percent over the past 12 months, driven by community demand. This is a proven testament to Telegraf’s ease of use, minimal memory and disk footprint, and ability to enable the developer community to quickly extend collecting metrics from a variety of local or remote services.
“We started the Telegraf project 3 years ago with just six plugins from a small contribution by our own engineers,” said Paul Dix, Founder and CTO at InfluxData. “Our goal was to make it easy to build plugins for any device, system, or app; and the proof is evident in the numbers. With plugins supporting thousands of metrics, built by more than 400 contributors, this is a great example of an active and thriving open source community.”
The core framework delivered by Telegraf and extended through community development of plugins powers the data gathering and collection within the InfluxData Platform. Telegraf is used to gather and shape a variety of metrics from the system it’s running on, from third party APIs, or by listening for metrics via a variety of standard formats such as StatsD. Currently, the input plugins developed by the community cover gathering of metrics from sources such as Amazon CloudWatch, Docker, Kubernetes, MongoDB, Nginx, Redis, and wide variety of open source technologies from the Apache Software Foundation. The community has also developed output plugins to send metrics to a variety of other data stores, services and message queues, including InfluxDB, CrateDB, Graphite, OpenTSDB, Datadog, Librato, Kafka, MQTT, NSQ, and many others. Telegraf makes it easy for integrations to be created and released as new technologies come along.
Telegraf follows the open source development model, allowing the plugin to work with any system to collect as well as store metrics in any data store that supports tags. As data sources change, developers can easily contribute to a Telegraf plugin to keep it up to date. New plugins added just in the last quarter include Salesforce, fluentd, OpenLDAP, Jolokia2, NginXPlus, Particle.io, Apache Solr, Mesosphere’s DC/OS, and Wavefront.
Telegraf is a key component of the InfluxData Platform which provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications. InfluxData’s unique features enable customers to quickly build:
- Monitoring, alerting and notification applications supporting their DevOps initiatives
- IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control
- Real-time analytics applications that are focused on streaming data and anomaly detection
InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 400 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.
Pricing and Availability
Telegraf is available for free under the OpenSource MIT license. For more information see: https://www.influxdata.com/time-series-platform/telegraf/
