influxdata/telegraf

Health v2 · maintenance only

Adoption not part of the score

17767 stars · 5837 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Telegraf is an open-source agent for collecting, processing, aggregating, and writing metrics, logs, and other telemetry data. It ships as a standalone static Go binary with 300+ input, output, and processor plugins connecting virtually any data source to any destination.

Use cases

• collect system metrics like cpu, memory, and disk usage
• ship logs and metrics to influxdb or grafana
• collect iot sensor data via mqtt, modbus, or opc ua
• monitor docker and kubernetes clusters
• forward kafka or amqp messages to a time-series database
• scrape prometheus and opentelemetry endpoints
• collect windows event logs and performance counters
• monitor nvidia gpu metrics with nvidia-smi

When to choose

• you need a lightweight, dependency-free agent to gather telemetry from servers, containers, or edge devices
• you want to pipe metrics from many heterogeneous sources into influxdb, prometheus, or other time-series stores
• you need industrial protocol support like OPC UA, Modbus, or SNMP
• you want a single agent that handles collection, processing, and output with TOML configuration

When to avoid

• you need full distributed tracing spans rather than metrics and logs
• you prefer a managed SaaS agent bundled with a commercial observability platform
• you need heavy stream processing or complex transformations better suited to a stream processor like Flink

Facets

service · maturity stable

monitoring logging etl streaming monitoring iot time-series windows cross-platform go telemetry-collection metrics-agent influxdb plugin-architecture edge opentelemetry mqtt modbus opcua devops data-engineering linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="influxdata/telegraf")