🐚 Distributed Tracing in TuskLang - Bash Guide

Bash Documentation

Distributed Tracing in TuskLang - Bash Guide

πŸ” Revolutionary Distributed Tracing Configuration

Distributed tracing in TuskLang transforms your configuration files into intelligent, end-to-end tracing systems. No more fragmented debugging or manual trace correlationβ€”everything lives in your TuskLang configuration with dynamic trace collection, automated correlation, and intelligent performance analysis.

> "We don't bow to any king" – TuskLang distributed tracing breaks free from traditional debugging constraints and brings modern observability to your Bash applications.

πŸš€ Core Distributed Tracing Directives

Basic Distributed Tracing Setup

#tracing: enabled                    # Enable distributed tracing
#trace-enabled: true                 # Alternative syntax
#trace-collection: true              # Enable trace collection
#trace-correlation: true             # Enable trace correlation
#trace-sampling: 0.1                 # Trace sampling rate
#trace-backend: jaeger               # Tracing backend

Advanced Distributed Tracing Configuration

#trace-propagation: true             # Enable trace propagation
#trace-baggage: true                 # Enable baggage propagation
#trace-metrics: true                 # Enable trace metrics
#trace-dashboard: true               # Enable trace dashboard
#trace-alerts: true                  # Enable trace-based alerts
#trace-retention: 7d                 # Trace retention period

πŸ”§ Bash Distributed Tracing Implementation

Basic Distributed Tracing Manager

#!/bin/bash

Load distributed tracing configuration

source <(tsk load tracing.tsk)

Distributed tracing configuration

TRACE_ENABLED="${trace_enabled:-true}" TRACE_COLLECTION="${trace_collection:-true}" TRACE_CORRELATION="${trace_correlation:-true}" TRACE_SAMPLING="${trace_sampling:-0.1}" TRACE_BACKEND="${trace_backend:-jaeger}"

Distributed tracing manager

class DistributedTracingManager { constructor() { this.enabled = TRACE_ENABLED this.collection = TRACE_COLLECTION this.correlation = TRACE_CORRELATION this.sampling = TRACE_SAMPLING this.backend = TRACE_BACKEND this.traces = new Map() this.stats = { traces_collected: 0, spans_created: 0, correlations_made: 0 } } startTrace(operation_name) { if (!this.enabled) return null const trace_id = this.generateTraceId() const span_id = this.generateSpanId() const trace = { trace_id, span_id, operation_name, start_time: Date.now(), spans: [] } this.traces.set(trace_id, trace) this.stats.traces_collected++ return trace } addSpan(trace_id, span_name, tags = {}) { const trace = this.traces.get(trace_id) if (trace) { const span = { span_id: this.generateSpanId(), name: span_name, start_time: Date.now(), tags } trace.spans.push(span) this.stats.spans_created++ } } endTrace(trace_id) { const trace = this.traces.get(trace_id) if (trace) { trace.end_time = Date.now() trace.duration = trace.end_time - trace.start_time this.sendTrace(trace) } } correlateTraces(trace_ids) { if (!this.correlation) return // Implementation for trace correlation this.stats.correlations_made++ } generateTraceId() { return Math.random().toString(36).substr(2, 9) } generateSpanId() { return Math.random().toString(36).substr(2, 9) } sendTrace(trace) { // Implementation for sending trace to backend } getStats() { return { ...this.stats } } }

Initialize distributed tracing manager

const tracingManager = new DistributedTracingManager()

Dynamic Trace Collection

#!/bin/bash

Dynamic trace collection

start_trace() { local operation_name="$1" local trace_id=$(uuidgen) local span_id=$(uuidgen) # Create trace file local trace_file="/tmp/trace_${trace_id}.json" cat > "$trace_file" << EOF { "trace_id": "$trace_id", "span_id": "$span_id", "operation_name": "$operation_name", "start_time": "$(date -Iseconds)", "spans": [] } EOF echo "$trace_id" }

add_span() { local trace_id="$1" local span_name="$2" local tags="${3:-}" local trace_file="/tmp/trace_${trace_id}.json" local span_id=$(uuidgen) # Add span to trace local span_json="{\"span_id\": \"$span_id\", \"name\": \"$span_name\", \"start_time\": \"$(date -Iseconds)\", \"tags\": \"$tags\"}" # Update trace file jq --arg span "$span_json" '.spans += [$span | fromjson]' "$trace_file" > "${trace_file}.tmp" && mv "${trace_file}.tmp" "$trace_file" echo "$span_id" }

end_trace() { local trace_id="$1" local trace_file="/tmp/trace_${trace_id}.json" # Add end time to trace jq --arg end_time "$(date -Iseconds)" '.end_time = $end_time' "$trace_file" > "${trace_file}.tmp" && mv "${trace_file}.tmp" "$trace_file" # Calculate duration local start_time=$(jq -r '.start_time' "$trace_file") local end_time=$(jq -r '.end_time' "$trace_file") local duration=$(date -d "$end_time" +%s) - $(date -d "$start_time" +%s) # Add duration to trace jq --arg duration "$duration" '.duration = $duration' "$trace_file" > "${trace_file}.tmp" && mv "${trace_file}.tmp" "$trace_file" # Send trace to backend send_trace_to_backend "$trace_file" echo "βœ“ Trace ended: $trace_id (duration: ${duration}s)" }

Trace Correlation and Propagation

#!/bin/bash

Trace correlation and propagation

correlate_traces() { local trace_ids=("$@") local correlation_id=$(uuidgen) # Create correlation file local correlation_file="/tmp/correlation_${correlation_id}.json" cat > "$correlation_file" << EOF { "correlation_id": "$correlation_id", "trace_ids": $(printf '%s\n' "${trace_ids[@]}" | jq -R . | jq -s .), "created_at": "$(date -Iseconds)" } EOF echo "βœ“ Traces correlated: $correlation_id" echo "$correlation_id" }

propagate_trace_context() { local trace_id="$1" local span_id="$2" # Set environment variables for trace context export TRACE_ID="$trace_id" export SPAN_ID="$span_id" export TRACE_SAMPLED="true" echo "βœ“ Trace context propagated: $trace_id:$span_id" }

extract_trace_context() { # Extract trace context from environment local trace_id="${TRACE_ID:-}" local span_id="${SPAN_ID:-}" local trace_sampled="${TRACE_SAMPLED:-false}" if [[ -n "$trace_id" ]] && [[ -n "$span_id" ]]; then echo "Trace context: $trace_id:$span_id (sampled: $trace_sampled)" return 0 else echo "No trace context found" return 1 fi }

Trace Analysis and Metrics

#!/bin/bash

Trace analysis and metrics

analyze_traces() { local trace_directory="${trace_directory:-/tmp}" local analysis_file="${analysis_file:-/tmp/trace_analysis.json}" # Analyze all traces local total_traces=0 local total_duration=0 local slow_traces=0 while IFS= read -r -d '' trace_file; do if [[ -f "$trace_file" ]]; then local duration=$(jq -r '.duration // 0' "$trace_file" 2>/dev/null) total_traces=$((total_traces + 1)) total_duration=$((total_duration + duration)) if [[ "$duration" -gt 1000 ]]; then slow_traces=$((slow_traces + 1)) fi fi done < <(find "$trace_directory" -name "trace_*.json" -print0) # Generate analysis report cat > "$analysis_file" << EOF { "total_traces": $total_traces, "total_duration": $total_duration, "average_duration": $((total_duration / total_traces)), "slow_traces": $slow_traces, "slow_trace_percentage": $((slow_traces * 100 / total_traces)), "analysis_time": "$(date -Iseconds)" } EOF echo "βœ“ Trace analysis completed: $analysis_file" }

generate_trace_metrics() { local trace_directory="${trace_directory:-/tmp}" local metrics_file="${metrics_file:-/tmp/trace_metrics.json}" # Generate trace metrics local metrics=() while IFS= read -r -d '' trace_file; do if [[ -f "$trace_file" ]]; then local operation_name=$(jq -r '.operation_name' "$trace_file" 2>/dev/null) local duration=$(jq -r '.duration // 0' "$trace_file" 2>/dev/null) local span_count=$(jq -r '.spans | length' "$trace_file" 2>/dev/null) metrics+=("{\"operation\": \"$operation_name\", \"duration\": $duration, \"spans\": $span_count}") fi done < <(find "$trace_directory" -name "trace_*.json" -print0) # Write metrics to file echo "[$(IFS=,; echo "${metrics[*]}")]" > "$metrics_file" echo "βœ“ Trace metrics generated: $metrics_file" }

🎯 Real-World Configuration Examples

Complete Distributed Tracing Configuration

distributed-tracing-config.tsk

distributed_tracing_config: enabled: true collection: true correlation: true sampling: 0.1 backend: jaeger

#tracing: enabled #trace-enabled: true #trace-collection: true #trace-correlation: true #trace-sampling: 0.1 #trace-backend: jaeger

#trace-propagation: true #trace-baggage: true #trace-metrics: true #trace-dashboard: true #trace-alerts: true #trace-retention: 7d

#trace-config:

collection:

enabled: true

sampling_rate: 0.1

buffer_size: 1000

flush_interval: 60

correlation:

enabled: true

algorithm: "distributed"

timeout: 30

backend:

type: "jaeger"

url: "http://localhost:16686"

api_url: "http://localhost:14268"

propagation:

enabled: true

headers:

- "X-Trace-ID"

- "X-Span-ID"

- "X-Sampled"

baggage:

enabled: true

max_size: 8192

metrics:

enabled: true

collection_interval: 60

types:

- "latency"

- "throughput"

- "error_rate"

dashboard:

enabled: true

url: "http://localhost:16686"

refresh_interval: 30

alerts:

enabled: true

thresholds:

latency_p95: 1000

error_rate: 0.05

retention:

enabled: true

period: "7d"

compression: true

Multi-Service Tracing

multi-service-tracing.tsk

multi_service_tracing: services: - name: web-service tracing: true sampling: 0.1 - name: api-service tracing: true sampling: 0.2 - name: database-service tracing: true sampling: 0.05

#trace-web-service: enabled #trace-api-service: enabled #trace-database-service: enabled

#trace-config:

services:

web_service:

enabled: true

sampling_rate: 0.1

propagation: true

api_service:

enabled: true

sampling_rate: 0.2

propagation: true

database_service:

enabled: true

sampling_rate: 0.05

propagation: true

🚨 Troubleshooting Distributed Tracing

Common Issues and Solutions

1. Trace Collection Issues

Debug trace collection

debug_trace_collection() { local operation_name="$1" echo "Debugging trace collection for: $operation_name" local trace_id=$(start_trace "$operation_name") echo "Trace started: $trace_id" return 0 }

2. Trace Correlation Issues

Debug trace correlation

debug_trace_correlation() { local trace_ids=("$@") echo "Debugging trace correlation for: ${trace_ids[*]}" correlate_traces "${trace_ids[@]}" echo "Trace correlation completed" }

πŸ”’ Security Best Practices

Distributed Tracing Security Checklist

Security validation

validate_distributed_tracing_security() { echo "Validating distributed tracing security configuration..." # Check trace encryption if [[ "${trace_encryption}" == "true" ]]; then echo "βœ“ Trace encryption enabled" else echo "⚠ Trace encryption not enabled" fi # Check sensitive data filtering if [[ "${trace_sensitive_data_filtering}" == "true" ]]; then echo "βœ“ Sensitive data filtering enabled" else echo "⚠ Sensitive data filtering not enabled" fi # Check access controls if [[ "${trace_access_controls}" == "true" ]]; then echo "βœ“ Trace access controls enabled" else echo "⚠ Trace access controls not enabled" fi }

πŸ“ˆ Performance Optimization Tips

Distributed Tracing Performance Checklist

Performance validation

validate_distributed_tracing_performance() { echo "Validating distributed tracing performance configuration..." # Check sampling rate local sampling_rate="${trace_sampling:-0.1}" if [[ $(echo "$sampling_rate <= 0.2" | bc -l) -eq 1 ]]; then echo "βœ“ Reasonable sampling rate ($sampling_rate)" else echo "⚠ High sampling rate may impact performance ($sampling_rate)" fi # Check buffer size local buffer_size="${trace_buffer_size:-1000}" if [[ "$buffer_size" -le 10000 ]]; then echo "βœ“ Reasonable buffer size ($buffer_size)" else echo "⚠ Large buffer size may impact memory usage ($buffer_size)" fi # Check flush interval local flush_interval="${trace_flush_interval:-60}" # seconds if [[ "$flush_interval" -le 300 ]]; then echo "βœ“ Reasonable flush interval ($flush_interval s)" else echo "⚠ Long flush interval may delay trace visibility ($flush_interval s)" fi }

🎯 Next Steps

- Trace Visualization: Create trace visualization dashboards - Performance Analysis: Implement advanced performance analysis - Error Correlation: Set up error correlation and alerting - Trace Compliance: Implement trace compliance and auditing

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Distributed tracing transforms your TuskLang configuration into an intelligent, end-to-end observability system. It brings modern tracing capabilities to your Bash applications with dynamic collection, automated correlation, and comprehensive performance analysis!