Code-Level Observability for your Java Stack
BitDive provides deep code-level visibility into your Java applications with zero code changes. Get instant insights into method execution, parameters, SQL queries, and service interactions across your distributed system. Compare release performance, identify bottlenecks, and debug production issues with comprehensive contextual data - all with minimal overhead.
All-in-One, Developer-Friendly Integration
Start Monitoring in Minutes
Forget assembling complex, puzzle-like solutions. BitDive delivers everything you need for seamless code-level insights in one optimized platform.
- Effortless Setup: Deploy the entire infrastructure in minutes using our Docker Compose configuration
- Plug-and-Play Library: Simply add the BitDive Maven dependency to your pom.xml file
- Zero Code Changes: Auto-instrumentation eliminates the need to modify your application code
- CI/CD Ready: Perfect for automated deployment pipelines and containerized environments
Real-Time Performance Heatmap & Observability
Instant Visual Performance Insights
Get immediate visibility into your system's performance with comprehensive real-time monitoring:
- Visual Performance Analysis: Color-coded heatmap showing system response times and changes
- Comprehensive Metrics: Track HTTP, REST, SQL and scheduler performance in real-time
- Detailed Drill-Down: Module-to-method exploration with response time details
- Error Tracking: Success rate monitoring with comprehensive error analysis
- SQL Monitoring: Deep SQL performance analysis with query execution metrics
Code-Level Call Tree & Parameter Analyzer
Deep Method-Level Visibility
Debug production issues with complete visibility into method execution and data flow:
- Complete Call Tracing: Track full method call sequences in production
- Rich Context Data: Access method parameters, return values, and execution state
- Cross-Service Validation: Verify data transformations across microservices
- API Analysis: Monitor request/response data between service boundaries
- Performance Optimization: Identify bottlenecks with visual execution path analysis
Service Call Timeline Analyzer
Visual Request Flow Analysis
Track and analyze service interactions with precise timing visualization:
- Timeline Visualization: Track method execution timeline with precise timing data
- Operation Classification: Distinguish web calls, methods, and database operations
- Performance Analysis: Pinpoint blocking operations and execution overlaps
- Database Insights: Measure query performance with detailed timing data
- Latency Detection: Identify service communication bottlenecks
Method-Level Performance Graphs & Metrics
Real-Time Performance Analytics
Monitor and analyze your application's performance in real-time:
- Comprehensive Monitoring: Track HTTP requests, methods and SQL queries in real-time
- Interactive Graphs: Analyze service response times through time-series visualization
- Volume Analysis: Compare call counts and query volumes across operations
- Trend Detection: Identify performance patterns with auto-refreshing metrics
- SQL Performance: Track query timing patterns with precise measurements
Built for Modern Java Teams
Modern Profiling for Cloud-Native Era
Cloud-Native Applications
Trace requests across Kubernetes clusters and cloud services while maintaining low overhead in containerized environments.
High-Load Production
Run continuous profiling in high-throughput systems without performance impact. Catch issues early and optimize resource usage.
Microservices Architecture
Follow requests through your entire service mesh with method-level visibility. Understand distributed system behavior in production.
CI/CD Integration
Detect performance regressions early through automated deployment pipeline integration. Compare method-level metrics between releases.