Techniques

This section outlines common debugging techniques for tracing issues and identifying errors in the Jaeger library.

Debug Techniques

The Jaeger library offers a range of debugging capabilities for investigating issues and pinpointing errors. Here’s a breakdown of common techniques:

1. Logging:

• Enable verbose logging: Adjust logging levels to increase verbosity and capture more detailed information.
• Inspect log files: Carefully review log files for error messages, warnings, or unusual behavior.
• Filter logs: Use log filtering tools or techniques to isolate relevant logs based on specific events or timestamps.

2. Instrumentation:

• Add tracing spans: Strategically instrument your code with tracing spans to monitor the flow of requests and identify potential bottlenecks.
• Generate debug logs: Implement logging statements within critical sections of code to track the execution flow.
• Use conditional breakpoints: Employ debugging tools like debuggers to set breakpoints at specific locations and examine the program state.

3. Metrics:

• Monitor counters: Track metrics like request counts, error rates, and success rates to identify trends and potential issues.
• Analyze histograms: Examine histograms for latency distributions and other performance metrics to detect outliers and performance degradation.

4. Testing:

• Run unit tests: Ensure that your code works as expected by executing unit tests covering various scenarios and edge cases.
• Perform integration tests: Conduct integration tests to verify the interaction between different components of your system.
• Execute load tests: Simulate realistic traffic loads to evaluate the performance and stability of your application.

5. Profiling:

• Utilize profiling tools: Employ profiling tools to identify performance bottlenecks and memory leaks.
• Analyze profiling data: Analyze profiling data to pinpoint areas for optimization and code improvement.

6. External Resources:

• Consult the Jaeger documentation: Refer to the official Jaeger documentation [doc] for detailed explanations of the library’s features and usage.
• Explore community forums: Engage with the Jaeger community on forums or discussion platforms to seek advice and share insights.
• Report issues: If you encounter bugs or unexpected behavior, file a bug report on the official Jaeger GitHub repository [https://github.com/jaegertracing/jaeger-lib].

Example Usage

Tracing Span:

import (
              "context"
          
              "github.com/uber/jaeger-lib/context"
          )
          
          func myFunction(ctx context.Context) error {
              span := jaeger.StartSpan(ctx, "myFunction")
              defer span.Finish()
          
              // ... Your code ...
          
              return nil
          }
          

Counter:

import (
              "github.com/uber/jaeger-lib/metrics"
          )
          
          func myFunction(factory metrics.Factory) {
              counter := factory.Counter(metrics.Options{Name: "my_function_calls"})
              counter.Inc(1) 
              // ... Your code ...
          }
          

Timer:

import (
              "time"
          
              "github.com/uber/jaeger-lib/metrics"
          )
          
          func myFunction(factory metrics.Factory) {
              timer := factory.Timer(metrics.TimerOptions{Name: "my_function_duration"})
              defer timer.Record(time.Since(time.Now()))
              // ... Your code ...
          }
          

Histogram:

import (
              "github.com/uber/jaeger-lib/metrics"
          )
          
          func myFunction(factory metrics.Factory) {
              histogram := factory.Histogram(metrics.HistogramOptions{Name: "my_function_latency"})
              // ... Your code ...
              histogram.Record(latency) // latency in milliseconds
          }
          

Top-Level Directory Explanations

metrics/ - This directory contains the metrics implementation for the Jaeger Tracing library.

metrics/adapters/ - This subdirectory contains the various metric adapters for different backends.

metrics/expvar/ - This subdirectory contains the implementation for exposing metrics as HTTP endpoints using the expvar package.

metrics/fork/ - This subdirectory contains the implementation for forking metrics between processes.

metrics/go-kit/ - This subdirectory contains the Go-Kit integration for the Jaeger Tracing library.

metrics/go-kit/expvar/ - This subdirectory contains the expvar implementation for the Go-Kit integration.

metrics/go-kit/influx/ - This subdirectory contains the InfluxDB implementation for the Go-Kit integration.

metrics/metricstest/ - This subdirectory contains the testing implementation for the metrics.

metrics/multi/ - This subdirectory contains the implementation for collecting metrics from multiple sources.

metrics/prometheus/ - This subdirectory contains the Prometheus implementation for the Jaeger Tracing library.

metrics/tally/ - This subdirectory contains the implementation for counting metrics using the tally package.

sample/ - This directory contains a sample implementation for the Jaeger Tracing library.

utils/ - This directory contains various utility functions for the project.