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- Data collectorData Collection Agent
DataKit is a Guance data collection Agent that can collect metrics, logs, traces, objects, events, and custom data from hosts, containers, Kubernetes, cloud hosts, and edge environments, and access data into Guance workspaces through pipelines, unified tags, and open protocols.
Functional features
Multi-dimensional data collection
Supports collecting data such as Metrics, Logs, and Traces from various infrastructures and technology stacks, and processing these data in a structured manner.
Kubernetes cloud-native technology support
Based on a cloud-native microservices architecture, it covers comprehensive data collection within the Kubernetes ecosystem.
Observable text processing pipeline
Built-in easy-to-use data extraction and processing engine, Pipeline, is used to extract unstructured data, making querying and statistics convenient.
Better tech stack support than Telegraf
Compared to Telegraf, which can only collect time-series data, DataKit covers a much broader range of data acquisition types, with simpler data collection configurations and better data quality.
Flexible deployment, simple and easy to use
DataKit is deployed and installed with one click, with hundreds of built-in data integrations, supporting automatic basic data collection during installation, ready to use out of the box.
Core Capabilities
DataKit is not just a single collector. It handles data access, preprocessing, tag specification, ecosystem compatibility, and large-scale deployment and maintenance, bringing observable data into a unified analytical context.
Deploy DataKit across hosts, containers, Kubernetes, databases, middleware, and cloud resources, unifying collection metrics, logs, links, objects, and events, reducing the caliber differences caused by multiple collectors coexisting.
Through Pipeline, log and text data are parsed, field extracted, typed, filtered, desensitized, and tag complete, making subsequent retrieval, alerting, and aggregation analysis more stable.
Supports data access from open ecosystems such as OpenTelemetry, Prometheus, Telegraf, Fluentd, and StatsD, helping existing collection systems smoothly enter Guance unified analysis.
Supports deployment on Linux, Windows, macOS, Docker, Kubernetes, and cloud hosting, and can reduce large-scale maintenance costs through election, GitOps, DataKit API, and command-line tools.
Available platforms
Workflow
Deploy DataKit on hosts, containers, Kubernetes, or cloud hosts, prioritizing access to infrastructure, critical applications, logs, and alert-related data.
Unified service name, environment, version, region, team, and business tags, and use Pipeline to handle log fields, anonymization, and data quality.
Metrics, logs, links, RUM, events, and alerts are linked to the same object, forming a troubleshooting chain from problem phenomena to root cause location.
Ecosystem supportFAQ
DataKit is an Guance open-source, all-in-one data collection Agent used to collect data from hosts, containers, Kubernetes, logs, links, databases, middleware, networks, cloud resources, and custom business data.
Yes, you can. DataKit can directly collect data or receive ecosystem data from OpenTelemetry, Prometheus, Telegraf, Fluentd, StatsD, and others, helping teams integrate existing collection links into Guance unified analysis view.
During the collection phase, DataKit completes unified tags such as service name, environment, host, container, Pod, and version, and processes unstructured logs through pipelines, allowing metrics, logs, links, and alerts to be associated around the same object.
Yes, you can. DataKit supports custom data collection, PythonD, open APIs, and pipeline processing, making it suitable for integrating internal business metrics, operations script results, and specialized technology stack data into Guance.
