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Cloud Native and Infrastructure
Unified access to data from hosts, containers, Kubernetes, cloud resources, network devices, and operating systems is formed, forming views of resource status, capacity risk, and fault impact area.
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Data Integration
Guance helps enterprises access observable data scattered across hosts, containers, applications, middleware, databases, networks, and cloud platforms into a unified platform through DataKit, OpenTelemetry, Prometheus, Telegraf, cloud vendor APIs, and custom collection capabilities.
650+ mainstream technology stack and cloud service integration templates
Unified collection of data from hosts, containers, Kubernetes, cloud platforms, databases, middleware, networks, logs, and applications
Compatible with ecosystem collection methods such as OpenTelemetry, Prometheus, Telegraf
Unified Tags, object relationships, and timelines are linked to metrics, logs, links, RUM, and alerts
Supports custom collection objects and third-party collector containment
Coverage
Unified access to data from hosts, containers, Kubernetes, cloud resources, network devices, and operating systems is formed, forming views of resource status, capacity risk, and fault impact area.
Access application performance, traces, profiles, service logs, and error contexts, associating a slow request with code, dependencies, logs, and resource changes.
Covers databases, caching, message queues, gateways, load balancing, and mainstream cloud services, reducing the cost of manually stitching data between multiple tools.
Workflow
Prioritizing coverage of core business dependencies such as hosts, Kubernetes, applications, databases, middleware, and log data, providing unified evidence for high-frequency failures.
During the collection phase, standardize service name, environment, version, region, team, and business tags to reduce subsequent cross-tool queries and manual alignment.
Put metrics, logs, links, RUM, events, and alerts on the same timeline, explaining slow requests, errors, resource bottlenecks, and business impacts in context.
FAQ
Guance integration covers scenarios such as hosts, containers, Kubernetes, cloud platforms, databases, middleware, networks, logs, applications, RUM real user experience monitoring, and business systems. Teams can quickly integrate templates by technology stack.
DataKit is an integrated data collection Agent for Guance, and is compatible with ecosystem data sources such as OpenTelemetry, Prometheus, and Telegraf, making it suitable for continued unified integration and correlation analysis within existing collection systems.
Yes, you can. In addition to pre-installed integrated templates, Guance also supports custom collection objects, open APIs, pipeline processing, and third-party collector management, making it easy to analyze internal business metrics and system observable data in the same context.
It is recommended to unify service name, environment, version, region, team, and business tags during the collection phase, then Guance link metrics, logs, links, RUM, events, and alerts by object and timeline.