π Distributed Tracing in TuskLang - Bash Guide
Distributed Tracing in TuskLang - Bash Guide
π 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 correlationβeverything lives in your TuskLang configuration with dynamic trace collection, automated correlation, and intelligent performance analysis.
> "We don't bow to any king" β TuskLang distributed tracing breaks free from traditional debugging constraints and brings modern observability to your Bash applications.
π 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
π§ Bash Distributed Tracing Implementation
Basic Distributed Tracing Manager
#!/bin/bashLoad 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/bashDynamic 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 "β Trace ended: $trace_id (duration: ${duration}s)"
}
Trace Correlation and Propagation
#!/bin/bashTrace correlation and propagation
correlate_traces() {
local trace_ids=("$@")
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 "β 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 "β 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: $trace_sampled)"
return 0
else
echo "No trace context found"
return 1
fi
}
Trace Analysis and Metrics
#!/bin/bashTrace analysis and metrics
analyze_traces() {
local trace_directory="${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 "β 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 "β Trace metrics generated: $metrics_file"
}
π― 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
π¨ 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"
}
π Security Best Practices
Distributed Tracing Security Checklist
Security validation
validate_distributed_tracing_security() {
echo "Validating distributed tracing security configuration..."
# Check trace encryption
if [[ "${trace_encryption}" == "true" ]]; then
echo "β Trace encryption enabled"
else
echo "β Trace encryption not enabled"
fi
# Check sensitive data filtering
if [[ "${trace_sensitive_data_filtering}" == "true" ]]; then
echo "β Sensitive data filtering enabled"
else
echo "β Sensitive data filtering not enabled"
fi
# Check access controls
if [[ "${trace_access_controls}" == "true" ]]; then
echo "β Trace access controls enabled"
else
echo "β Trace access controls not enabled"
fi
}
π Performance Optimization Tips
Distributed Tracing Performance Checklist
Performance validation
validate_distributed_tracing_performance() {
echo "Validating distributed tracing performance configuration..."
# Check sampling rate
local sampling_rate="${trace_sampling:-0.1}"
if [[ $(echo "$sampling_rate <= 0.2" | bc -l) -eq 1 ]]; then
echo "β Reasonable sampling rate ($sampling_rate)"
else
echo "β High sampling rate may impact performance ($sampling_rate)"
fi
# Check buffer size
local buffer_size="${trace_buffer_size:-1000}"
if [[ "$buffer_size" -le 10000 ]]; then
echo "β Reasonable buffer size ($buffer_size)"
else
echo "β Large buffer size may impact memory usage ($buffer_size)"
fi
# Check flush interval
local flush_interval="${trace_flush_interval:-60}" # seconds
if [[ "$flush_interval" -le 300 ]]; then
echo "β Reasonable flush interval ($flush_interval s)"
else
echo "β Long flush interval may delay trace visibility ($flush_interval s)"
fi
}
π― 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!