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Microservices Monitoring with Distributed Tracing by BitDive

Overview​

BitDive provides comprehensive microservices monitoring through distributed tracing, automatically tracking requests between services, capturing internal API calls, and visualizing complete call chains. This observability solution allows developers to fully understand the execution flow across microservices, pinpoint performance bottlenecks, and optimize distributed system performance with ease.

Want to learn more about observability in modern architectures? Check out our guide on Java Observability in Kubernetes.

Automatic Call Chain Building for Microservice Monitoring​

  • BitDive tracks API requests between microservices and automatically generates a detailed visual representation of the complete call chain.
  • Each service and method in the chain is logged with execution details, including duration, performance metrics, and REST data.

The Distributed Tracing Feature Automatically:​

  • Tracks requests between microservices
  • Creates intuitive visual call trees for service monitoring
  • Measures timing for each service call
  • Captures REST details and method arguments
  • Provides detailed timestamp information for observability

Microservices Call Tree Visualization​

For every traced request, BitDive includes a detailed visualization of your microservices architecture:

BitDive distributed tracing showing a call tree with multiple service calls, response times, and percentages

Distributed Request Identification​

  • Unique Trace ID for distributed system monitoring (e.g., e2580f87-d6ad-11ef-9424-fd2c25f45404)
  • Precise request timestamps for service performance tracking
  • HTTP response codes for error monitoring (e.g., 200, 400)
  • End-to-end request duration for latency analysis

Microservice Call Details​

For each microservice in the distributed call chain:

  • Service name and method for clear identification
  • Response time metrics and percentage of total request duration
  • Internal API endpoint monitoring
  • Comprehensive request/response tracking with status codes

Complete Microservices Observability Data​

REST API Monitoring​

  • HTTP Method tracking (e.g., POST, GET)
  • Response status monitoring (e.g., 200, 404)
  • Operation type classification (e.g., WEB_POST)
  • API endpoint path monitoring

Service Method Tracing​

  • Full request payload monitoring
  • Parameter type and value tracking
  • JSON data structure validation

Performance Timing Analysis​

  • Precise request timestamps
  • Microservice response time measurements
  • Performance impact analysis per service

Enterprise Monitoring Features​

Zero-Code Instrumentation​

  • Automated microservices monitoring setup
  • Dynamic service discovery and mapping
  • Real-time distributed tracing visualization

Advanced Performance Analytics​

  • Detailed service timing analysis
  • Request duration breakdown
  • Bottleneck detection in distributed systems

Comprehensive Context Tracking​

  • Complete API transaction monitoring
  • Method parameter validation
  • Service endpoint health tracking

Enterprise Use Cases​

Microservices Performance Optimization​

  • Root cause analysis of slow services
  • Request pattern analysis
  • Distributed system bottleneck detection

Distributed System Debugging​

  • End-to-end request flow monitoring
  • Parameter validation across services
  • API response verification

Architecture Dependency Analysis​

  • Microservices interaction mapping
  • Distributed system pattern analysis
  • Service dependency documentation

Enterprise Best Practices​

Production Configuration​

  • Optimal sampling strategy implementation
  • Service naming conventions
  • Environment-specific monitoring setup

Observability Guidelines​

  • Continuous trace data analysis
  • Automated anomaly detection
  • Monitoring system performance

Enterprise Troubleshooting​

  • Distributed system connectivity verification
  • Service configuration validation
  • Sampling optimization techniques