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A unified monitoring platform is used to centrally collect, store, query, and correlate metrics, Logs, Traces, RUM, Profile, Kubernetes, cloud resources, events, and business metrics, enabling teams to understand why system anomalies occur, which services and users are affected, and who should handle them from the same context. Guance is not about simply lumping APM, logs, infrastructure monitoring, and alerts together, but about building relationships around services, hosts, pods, interfaces, access sessions, publishing, and business objects, helping R&D, SRE, operations, and platform teams reduce tool switching, unify data standards, and improve fault localization efficiency.
When evaluating a unified monitoring platform, it's not enough to just look at metrics, logs, and links; it's even more important to see if a real fault can move from symptom to root cause and action.
R&D and SRE can start from alerts or business metrics, then continue to locate specific interfaces, dependencies, SQL, instances, versions, or responsible teams, reducing the back-and-forth between Prometheus, ELK, SkyWalking, and cloud consoles.
The platform team can determine whether the anomaly is caused by image version, resource constraints, node pressure, dependency inavailability, or configuration changes, and assign rollback, scaling, rate limiting, or configuration fixes to the corresponding teams for execution.
Business, front-end, and back-end teams can identify issues such as page resources, browser errors, interface timeouts, network paths, or backend dependencies, avoiding focusing only on server metrics and missing the real impact on user experience.
APM, logs, and metrics are disconnected in context:A single interface timeout may involve application traces, error logs, Pod reboots, slow database queries, and user access experience. If data is scattered across multiple tools, troubleshooting requires manually building a timeline.
Multiple teams lack the same evidence:R&D, SRE, operations, platform, and business teams see different perspectives, making it easy to repeatedly communicate around "Is it my problem?" rather than directly locating services, resources, versions, or responsible persons.
Cloud-native and multi-cloud environments change rapidly:Kubernetes pods, containers, nodes, workloads, cloud resources, and release events are constantly changing, making static monitoring difficult to reflect true dependencies and the scope of impact.
Alarm noise affects fault response:The same failure can trigger multiple types of alerts, and if object relationships, business impact, and root context are missing, teams find it difficult to prioritize and reduce duplicate notifications.
Unified access to observable data:Through DataKit, OpenTelemetry, RUM SDK, cloud vendor integration, and log collection, metrics, logs, links, RUM, profiles, events, infrastructure, and business data are integrated into a single data foundation.
Establishing object relationships and unified tags:Establish associations around services, hosts, pods, containers, cloud resources, interfaces, access sessions, and business objects, allowing a single alert to continue drilling down to traces, logs, resources, and the scope of impact.
Forming a full-link fault location process:Starting from degraded user experience, slow interfaces, rising error rates, pod reboots, or business metrics anomalies, locate service, dependency, version, resource, or team leader along a unified timeline.
Closed the loop of alerts, AI analysis, and review:Anomaly detection, alert notifications, event center, Obsy AI analysis, note-taking, and review are consolidated on a single platform, reducing duplicate alerts and information gaps.
- Guance integrate metrics, logs, links, RUM, infrastructure, cloud resources, events, and business metrics into a single platform, allowing cross-team troubleshooting to have the same evidence.
- Unified monitoring reduces the need for teams to switch between and maintain multiple monitoring systems, allowing them to focus on fault locating, stability governance, and business improvement.
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- Guance supports 650+ technology stacks and data integration, covering infrastructure monitoring, application performance monitoring, log monitoring, RUM real user experience monitoring, Kubernetes monitoring, cloud monitoring, and business monitoring. Through end-to-end full-chain monitoring, it helps enterprises quickly identify issues and ensure stable business operations.
- Guance self-developed GuanceDB supports storing and analyzing multimodal data such as Metric, Event, Log, Trace, and RUM, and adapts observational data of different scales and retention periods through SchemaFree, hot and cold hierarchy, and unified querying.
- Guance provides tagging functionality, allowing unified labeling of data when collected. Through powerful correlation analysis capabilities, it can drill down to any data, improving data visibility and helping enterprises improve operations efficiency and customer experience.
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- Guance supports global nodes and cross-regional business access, allowing teams to observe applications, resources, and user access experiences across different regions within a unified workspace.
- Guance continuously improve data access, correlation analysis, permission governance, and AI-assisted diagnostic capabilities, helping enterprises maintain unified monitoring and troubleshooting processes when business and technology stacks change.
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Build Your Observability Stack
First, address the most urgent fault scenarios, then gradually unify data, tags, alerts, and team collaboration.
The observability platform is used to uniformly collect and correlate metrics, logs, links, RUM, Profile, Kubernetes, cloud resources, events, and business metrics, helping teams understand system status, user impact, and root causes from the same context.
Traditional monitoring focuses more on fixed metrics and alerts, while observability platforms emphasize correlation analysis across metrics, Logs, Traces, RUM, infrastructure, and business data, using real data to explain system anomalies.
The unified monitoring platform emphasizes centralized management of multiple monitoring capabilities; The observability platform further emphasizes object relationships, contextual association, exploratory analysis, and fault closure. Guance simultaneously covers unified monitoring and observable analysis capabilities.
Yes, you can. Guance supports open standards and multiple data source access, allowing teams to establish unified query, alert, correlation analysis, and collaboration entry points while retaining existing collection capabilities.
By unifying timelines, relationships between service and resource objects, log chain jumps, RUM and APM association, AI-assisted analysis, and alert contexts, reduce the time spent manually switching tools and piecing evidence.
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