Product Introduction¶
What is Guance?¶
Guance provides a one-stop observability solution for cloud, cloud-native, applications, and business. It includes infrastructure monitoring, log analysis, application performance monitoring (APM), real user monitoring (RUM), service availability monitoring, security monitoring, LLM monitoring, CI environment insights, and more, helping to achieve comprehensive observability for cloud, cloud-native, applications, and business.
Guance began development in 2018. After five years of meticulous refinement by a professional team, it was officially released on April 28, 2022. Since its release, we have maintained a regular iteration and update schedule, actively collecting user feedback, continuously improving the product's technology stack coverage, user experience, and platform stability. We provide intelligent monitoring cloud services for the AI era, helping enterprises quickly achieve system observability and supporting stable business growth.
Core Features¶
Infrastructure monitoring for hosts, cloud environments, containers, processes, and networks, covering various IT facilities such as IoT, multi-cloud environments, virtualization, and microservices. Supports custom infrastructure objects, allowing you to observe any infrastructure.
Comprehensive performance insights, covering end-to-end service monitoring. Built-in flame graphs and Profiling tools allow developers to intuitively see slow queries and resource consumption hotspots, helping to optimize business experience.
Real User Monitoring collects data related to the real experience and behavior of users when interacting with web applications, identifying the real needs behind each request and optimizing product performance.
Guance supports various RUM types including Web, Mobile (Android & iOS), and Mini Programs.
All logs are unified and aggregated on the Guance platform, enabling cross-system, one-stop search and rapid localization. Whether it's a single issue or a widespread anomaly, combined contextual investigation allows for quick discovery and resolution of problems.
By integrating the two core capabilities of CSPM and SIEM, we build an integrated security monitoring system of "Asset ➛ Configuration ➛ Behavior" for you.
LLM Monitoring associates LLM requests with the entire application chain, tracing the complete process of each conversation and accurately measuring the number of Tokens consumed for each generation task.
Guance supports custom monitor detection rules and comes with 700+ out-of-the-box monitor templates. By configuring detection rules, trigger conditions, and event notifications, you can receive alert notifications第一时间,及时发现问题、解决问题.
The Event Center integrates event data from various sources such as monitors, intelligent monitoring, security monitoring, and SLO. Through a centralized event explorer, you can quickly locate anomalies, track system changes, and improve incident response efficiency.
Guance comes with 20+ standardized visualization charts and 200+ data monitoring view templates. You can easily and quickly build dashboards according to your business needs.
The Obsy AI Agent is built on advanced AI large language models. Through natural language processing and machine learning technologies, it can efficiently process data and quickly locate and resolve problems.
Key Technologies¶
1. Data Storage Technology Based on Time-Series Databases and Columnar Data
Time-series databases and columnar databases feature high compression ratios and superior write and query performance. On the data writing end, they can handle massive, high-frequency data write requests. On the data reading end, they enable flexible multi-dimensional queries and correlation analysis.
2. Compatibility with Multiple Text Analysis Engines
Supports text analysis engine databases like OpenSearch and Elasticsearch, enabling unified storage of data structures such as logs, objects, traces, and events. Data is written consistently, efficiently, and with low latency via the Line Protocol through the unified Dataway interface, and is queried and analyzed using the self-developed query language Debug Query Language (DQL).
Support for the real-time analytical data warehouse-oriented text analysis engine SelectDB significantly improves data read/write performance and substantially reduces overall storage costs.
Furthermore, the latest self-developed GuanceDB 3.0 technology runs fully cloud-native on any commercial object storage. It is designed specifically for handling massive data writes and features a fully read-write separated, flexible architecture.
3. Low-Intrusion Out-of-Band Data Collection Technology
Data collection is the initial stage of data analysis for big data platforms. Most of Guance's data collectors utilize out-of-band technology to achieve data collection functionality, completing data collection tasks with minimal impact on business systems.
4. Data Consistency Assurance and High System Reliability
Throughout the entire chain from data collection to data cleansing to data processing, Guance ensures data consistency through message queue technology and retry mechanisms, compensating for the weaknesses of time-series and columnar databases.
5. Cloud-Native
The entire platform's selection of underlying technical modules and its overall architecture are implemented based on cloud-native products, achieving high cost-effectiveness while ensuring functional completeness and architectural reliability.
Cloud Vendor Partnerships¶
Guance supports data integration from cloud vendors such as AWS, Azure, Alibaba Cloud, Huawei Cloud, Tencent Cloud, Volcengine, and Google Cloud. No matter which cloud vendor you are using, you can quickly report data to Guance for unified management and analysis, including Cloud Resource Management, Cloud Billing Analysis, and more.
Additionally, Guance supports billing through cloud vendors. Simply subscribe to Guance with one click in your cloud vendor's marketplace to start using it, paying based on usage and consumption.