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Apache OzHera(Incubating)

Apache OzHera(Incubating) is an Application Performance Monitoring (APM) platform designed for the cloud-native era. It revolves around applications and integrates capabilities such as metric monitoring, distributed tracing, logging, and alerting. The platform's mission is to enhance the online stability of applications and enable businesses to detect and locate issues within 1 minute and 5 minutes, respectively, when problems occur.

Quick Start
architecture
Feature List
architecture
Embrace Cloud-Native
Apache OzHera(Incubating) follows the Opentracing standard and integrates with various open-source stars like OpenTelemetry, Grafana, Prometheus, Elasticsearch (ES), CAdvisor, and more.
architecture
Precise Alerting
Based on RPC and custom business error code parsing, Apache OzHera(Incubating) extracts business availability metrics (business availability = 1 - "abnormal" request count / total request count). This allows for accurate representation of the system's true health status and eliminates the interference of ineffective alerts.
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Swift Issue Resolution
Based on traceId, Apache OzHera(Incubating) establishes a closed-loop linkage between alerts, metrics, distributed tracing, and logs, significantly improving user issue resolution efficiency.
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Cost-Effective
Storage costs are less than one in a thousand, meeting 99.9% of tracing needs.
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Enterprise-Grade Observability Product
Apache OzHera(Incubating) features comprehensive account, permission, application management, and message notification mechanisms. Core linkage modules are decoupled, ensuring minimal intrusion into business systems. It has undergone numerous stress tests at Xiaomi, handling over 1 PB of raw data daily.
architecture
Artificial Intelligence
The cutting-edge artificial intelligence technology has been introduced, using AI tools to help you quickly pinpoint issues, analyze the causes in-depth, and provide personalized repair suggestions. Let intelligence lead your application monitoring, achieving intelligent management and optimization.