How Changan Auto Earned Top‑Tier DevOps Certification with a Full‑Link Observability Platform
Changan Automobile’s full‑link observability platform passed both ITU DevOps international and domestic standards assessments, showcasing its advanced monitoring capabilities, improved system stability, and strategic role in the company’s digital transformation, while the interview reveals implementation challenges, benefits, and future AI‑driven enhancements.
Background and Standards
On May 29, 2024, China’s Central Cyberspace Administration, the State Administration for Market Regulation, and the Ministry of Industry and Information Technology jointly issued the Information Standard Construction Action Plan (2024‑2027) , emphasizing the internationalization of information standards and the promotion of ITU DevOps and domestic DevOps standards.
Changan Auto Full‑Link Observability Platform
The platform is an enterprise‑grade, end‑to‑end observability solution that aggregates infrastructure, application performance, logs, user behavior, and security events. It supports hybrid‑cloud, container, and micro‑service environments, offers real‑time analysis, intelligent alerts, interactive dashboards, and collaborative tools, helping Changan improve system reliability and business continuity.
Interview Highlights (Q&A)
Project Overview: Changan’s "Full‑Link Observability Platform" passed the ITU DevOps international assessment and the domestic DevOps Capability Maturity Model with an "Excellent" rating for the System and Tools – Application Performance Monitoring module.
Benefits Experienced: The team reported increased technical confidence, faster issue localization (average 10 minutes), higher user satisfaction, and stronger cross‑department collaboration.
Key Considerations: Business goals, technical capability verification, continuous improvement mechanisms, and industry competitiveness drove the assessment.
Challenges and Solutions
Data Collection Complexity: Adopted OpenTelemetry, Prometheus, and SkyWalking with a unified collector to gather metrics from physical devices, containers, APM, RUM, and logs.
Fault Diagnosis: Implemented multi‑dimensional data correlation, intelligent alert grading, and automated remediation for common issues.
Performance Overhead: Designed lightweight components, sparse sampling, and real‑time resource monitoring to minimize impact.
Impact and Future Plans
The assessment boosted Changan’s technical stature, team professionalism, operational efficiency, and digital‑transformation momentum. Future work includes deeper business‑metric monitoring, AI/ML‑driven query generation and root‑cause analysis, expanded data analytics, continuous training, and automated reporting.
Efficient Ops
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