Mobile Crash Reporting at LinkedIn
Article Summary
LinkedIn built their own crash reporting system instead of using third-party tools. Here's why that decision paid off.
Staff Engineer Ramanathan Muthukaruppan shares how LinkedIn's mobile team designed and scaled an internal crash reporting platform. The system processes crashes across iOS and Android, integrates with their experimentation platform, and helps teams decide whether to ramp new releases.
Key Takeaways
- Built custom crash reporting to capture LiX experiment data without external security risks
- Reduced query time from 120 seconds to 5 seconds through index optimization
- Normalized crash data across iOS and Android into single avro schema format
- Paginated both metadata and details to handle scale after initial caching failed
- Used Kafka, Elasticsearch, and Pinot for real-time crash processing and analytics
Critical Insight
LinkedIn's custom crash reporting system now provides fast, secure insights that integrate directly with their A/B testing platform to accelerate release decisions.
