DevOps monitoring and observability solutions

Full-stack unified observability breaks down data silos

- Comprehensive data collection capability:The unified collection tool DataKit integrates 650+ technology stack collection templates, supports one-click activation, allows custom collection objects at any time, and can also manage third-party collectors.

- A unified observability platform:Seamlessly integrates multiple observability capabilities within a single platform, including infrastructure monitoring (servers, containers, K8s), Application Performance Monitoring (APM), log management, user experience monitoring (RUM), active dial-up, and security monitoring.

- Data correlation analysis:Through unified tags, it automatically correlates metrics, logs, links, access sessions, and other multi-source data. When server metrics are abnormal, you can link and view the call link, error logs, and the actual access experience of relevant services with one click, greatly accelerating root cause identification.

Accelerate development and delivery to ensure stable and efficient operations

- Unified workbench:Through highly customizable dashboards and viewers, it provides a unified and personalized perspective for different roles (development, operations, testing, business), sharing context and reducing communication friction.

- Pre-release environmental monitoring:Monitoring and configuring test and pre-release environments consistent with production environments to expose issues early and improve product launch quality.

- CI/CD integration: It can integrate with mainstream CI/CD tools such as Jenkins and GitLab CI to enable observability throughout the release process and quickly detect build failures or deployment anomalies.

- APM In-Depth Insights:End-to-end distributed tracking visualization precisely depicts inter-service call relationships, performance bottlenecks, and root causes of errors. Through Profiling, developers can quickly pinpoint code-level issues and optimize performance.

Enhance collaboration and efficiency

- Unified collaborative management of all exceptions:Create highly focused anomaly tracking issues for collected data anomalies, aggregating all relevant data (metrics, logs, links, access sessions, host status, etc.) to become a "single source of fact" for team collaboration. By linking with tools like Feishu, DingTalk, or WeChat, seamless collaboration among team members is achieved, effectively eliminating faults.

- Create and share snapshots: Easily embed observation results (charts, logs, links, etc.) into notes or ticketing systems to facilitate team information sharing and issue traceability.

- Powerful data query tools:Proprietary DQL query language allows flexible querying of all types of data, meeting in-depth query and custom analysis needs.

- Flexible permission control:Granular permission management ensures that different teams and members only have access to data and functions within their scope of responsibility.

Supports cloud-native and hybrid architectures

- Easily manage cloud-native and multi-cloud environments:Easily monitor and manage resources and applications in hybrid and multi-cloud environments, providing out-of-the-box deep monitoring support for cloud-native architectures such as Kubernetes and microservices.

- Automatic infrastructure scaling:In hybrid cloud environments, traditional monitoring tools struggle to keep up with the pace of change in dynamic cloud environments. Guance can automatically scale as dynamic infrastructure scales, enabling immediate monitoring as new cloud instances or containers go live.

- Real-time monitoring system performance:Through Guance's unified observability platform, teams can monitor, associate, and aggregate data from local data centers with data from all cloud deployments, map application architectures in hybrid cloud environments, track the performance of each platform in real time, and ensure the normal operation of business systems.