Production Deployment and Monitoring
Deploying high-performance Go applications to production requires sophisticated deployment strategies, comprehensive monitoring systems, and robust incident response procedures to maintain optimal performance under real-world conditions.
Deployment Strategies
Zero-Downtime Deployment Patterns
Implementing deployment strategies that maintain service availability while enabling continuous performance optimization:
// Advanced deployment orchestrator
type DeploymentOrchestrator struct {
strategy DeploymentStrategy
healthChecker *HealthChecker
loadBalancer *LoadBalancer
rollback *RollbackManager
metrics *DeploymentMetrics
notifications *NotificationService
}
type DeploymentStrategy int
const (
BlueGreenDeployment DeploymentStrategy = iota
CanaryDeployment
RollingDeployment
A_B_Testing
)
type DeploymentConfig struct {
Strategy DeploymentStrategy `yaml:"strategy"`
HealthCheckEndpoint string `yaml:"health_check_endpoint"`
HealthCheckTimeout time.Duration `yaml:"health_check_timeout"`
WarmupDuration time.Duration `yaml:"warmup_duration"`
CanaryTrafficPercent int `yaml:"canary_traffic_percent"`
RolloutDuration time.Duration `yaml:"rollout_duration"`
AutoRollbackEnabled bool `yaml:"auto_rollback_enabled"`
PerformanceThresholds PerformanceThresholds `yaml:"performance_thresholds"`
}
type PerformanceThresholds struct {
MaxLatencyP95 time.Duration `yaml:"max_latency_p95"`
MinThroughput float64 `yaml:"min_throughput"`
MaxErrorRate float64 `yaml:"max_error_rate"`
MaxMemoryUsage int64 `yaml:"max_memory_usage"`
MaxCPUUsage float64 `yaml:"max_cpu_usage"`
}
// Blue-Green deployment implementation
func (do *DeploymentOrchestrator) ExecuteBlueGreenDeployment(version string, config DeploymentConfig) error {
deployment := &BlueGreenDeployment{
Version: version,
Config: config,
Orchestrator: do,
StartTime: time.Now(),
}
// Phase 1: Deploy to Green environment
fmt.Printf("Phase 1: Deploying version %s to Green environment\n", version)
greenEnv, err := do.deployToGreenEnvironment(version, config)
if err != nil {
return fmt.Errorf("green deployment failed: %v", err)
}
// Phase 2: Health check and warmup
fmt.Printf("Phase 2: Health checking Green environment\n")
if err := do.healthCheckEnvironment(greenEnv, config); err != nil {
do.cleanupGreenEnvironment(greenEnv)
return fmt.Errorf("green environment health check failed: %v", err)
}
// Phase 3: Performance validation
fmt.Printf("Phase 3: Performance validation\n")
perfResults, err := do.validatePerformance(greenEnv, config.PerformanceThresholds)
if err != nil {
do.cleanupGreenEnvironment(greenEnv)
return fmt.Errorf("performance validation failed: %v", err)
}
// Phase 4: Traffic switch
fmt.Printf("Phase 4: Switching traffic to Green environment\n")
switchHandle, err := do.loadBalancer.SwitchTrafficToGreen(greenEnv)
if err != nil {
do.cleanupGreenEnvironment(greenEnv)
return fmt.Errorf("traffic switch failed: %v", err)
}
// Phase 5: Monitor new environment
fmt.Printf("Phase 5: Monitoring new environment\n")
monitor := do.startPostDeploymentMonitoring(greenEnv, config)
defer monitor.Stop()
// Wait for stabilization period
stabilizationPeriod := 10 * time.Minute
if err := do.monitorStabilization(greenEnv, stabilizationPeriod, config.PerformanceThresholds); err != nil {
// Auto-rollback if enabled
if config.AutoRollbackEnabled {
fmt.Printf("Performance degradation detected, executing auto-rollback\n")
if rollbackErr := do.rollback.ExecuteRollback(switchHandle); rollbackErr != nil {
return fmt.Errorf("rollback failed after performance issue: %v (original error: %v)", rollbackErr, err)
}
}
return fmt.Errorf("deployment monitoring failed: %v", err)
}
// Phase 6: Cleanup old environment
fmt.Printf("Phase 6: Cleaning up Blue environment\n")
if err := do.cleanupBlueEnvironment(); err != nil {
// Log but don't fail deployment
fmt.Printf("Warning: Blue environment cleanup failed: %v\n", err)
}
do.metrics.RecordSuccessfulDeployment(deployment)
do.notifications.SendDeploymentSuccess(deployment, perfResults)
return nil
}
// Canary deployment with gradual traffic increase
func (do *DeploymentOrchestrator) ExecuteCanaryDeployment(version string, config DeploymentConfig) error {
deployment := &CanaryDeployment{
Version: version,
Config: config,
Orchestrator: do,
StartTime: time.Now(),
}
// Deploy canary version
canaryEnv, err := do.deployCanaryEnvironment(version, config)
if err != nil {
return fmt.Errorf("canary deployment failed: %v", err)
}
// Health check canary
if err := do.healthCheckEnvironment(canaryEnv, config); err != nil {
do.cleanupCanaryEnvironment(canaryEnv)
return fmt.Errorf("canary health check failed: %v", err)
}
// Gradual traffic increase
trafficSteps := []int{1, 5, 10, 25, 50, 100} // Percentage of traffic
for _, trafficPercent := range trafficSteps {
fmt.Printf("Routing %d%% traffic to canary\n", trafficPercent)
// Update load balancer
if err := do.loadBalancer.SetCanaryTraffic(canaryEnv, trafficPercent); err != nil {
return fmt.Errorf("failed to route %d%% traffic to canary: %v", trafficPercent, err)
}
// Monitor for stability period
monitorDuration := config.RolloutDuration / time.Duration(len(trafficSteps))
metrics, err := do.monitorCanaryPerformance(canaryEnv, monitorDuration, config.PerformanceThresholds)
if err != nil {
// Rollback on performance issues
if config.AutoRollbackEnabled {
fmt.Printf("Canary performance issue detected, rolling back\n")
do.rollback.RollbackCanary(canaryEnv)
}
return fmt.Errorf("canary monitoring failed at %d%% traffic: %v", trafficPercent, err)
}
// Compare canary vs production metrics
comparison := do.compareCanaryMetrics(metrics)
if !comparison.IsAcceptable {
if config.AutoRollbackEnabled {
do.rollback.RollbackCanary(canaryEnv)
}
return fmt.Errorf("canary performance regression detected: %s", comparison.Issues)
}
fmt.Printf("Canary stable at %d%% traffic\n", trafficPercent)
}
// Promote canary to production
if err := do.promoteCanaryToProduction(canaryEnv); err != nil {
return fmt.Errorf("canary promotion failed: %v", err)
}
do.metrics.RecordSuccessfulDeployment(deployment)
return nil
}
// Performance-aware rolling deployment
func (do *DeploymentOrchestrator) ExecuteRollingDeployment(version string, config DeploymentConfig) error {
deployment := &RollingDeployment{
Version: version,
Config: config,
Orchestrator: do,
StartTime: time.Now(),
}
// Get current instance list
instances, err := do.getCurrentInstances()
if err != nil {
return fmt.Errorf("failed to get current instances: %v", err)
}
// Rolling update with performance monitoring
batchSize := max(1, len(instances)/5) // Update 20% at a time
for i := 0; i < len(instances); i += batchSize {
end := min(i+batchSize, len(instances))
batch := instances[i:end]
fmt.Printf("Updating batch %d-%d of %d instances\n", i+1, end, len(instances))
// Update batch
if err := do.updateInstanceBatch(batch, version, config); err != nil {
return fmt.Errorf("batch update failed: %v", err)
}
// Wait for batch to stabilize
if err := do.waitForBatchStabilization(batch, config); err != nil {
if config.AutoRollbackEnabled {
do.rollback.RollbackBatch(batch)
}
return fmt.Errorf("batch stabilization failed: %v", err)
}
// Validate overall system performance
systemMetrics, err := do.validateSystemPerformance(config.PerformanceThresholds)
if err != nil {
if config.AutoRollbackEnabled {
do.rollback.RollbackDeployment(deployment)
}
return fmt.Errorf("system performance validation failed: %v", err)
}
do.metrics.RecordBatchDeployment(batch, systemMetrics)
}
do.metrics.RecordSuccessfulDeployment(deployment)
return nil
}
// Health checking with performance validation
type HealthChecker struct {
httpClient *http.Client
checks []HealthCheck
retryPolicy *RetryPolicy
}
type HealthCheck struct {
Name string
Endpoint string
Method string
Timeout time.Duration
Expected HealthExpectation
Validator func(*http.Response) error
}
type HealthExpectation struct {
StatusCode int `yaml:"status_code"`
MaxResponseTime time.Duration `yaml:"max_response_time"`
RequiredHeaders map[string]string `yaml:"required_headers"`
BodyContains []string `yaml:"body_contains"`
}
func (hc *HealthChecker) CheckEnvironmentHealth(env *Environment, timeout time.Duration) error {
ctx, cancel := context.WithTimeout(context.Background(), timeout)
defer cancel()
var wg sync.WaitGroup
errorChan := make(chan error, len(hc.checks))
for _, check := range hc.checks {
wg.Add(1)
go func(check HealthCheck) {
defer wg.Done()
if err := hc.executeHealthCheck(ctx, env, check); err != nil {
errorChan <- fmt.Errorf("health check %s failed: %v", check.Name, err)
}
}(check)
}
// Wait for all checks to complete
go func() {
wg.Wait()
close(errorChan)
}()
// Collect any errors
var errors []string
for err := range errorChan {
errors = append(errors, err.Error())
}
if len(errors) > 0 {
return fmt.Errorf("health checks failed: %s", strings.Join(errors, "; "))
}
return nil
}
func (hc *HealthChecker) executeHealthCheck(ctx context.Context, env *Environment, check HealthCheck) error {
url := fmt.Sprintf("%s%s", env.BaseURL, check.Endpoint)
// Execute with retry policy
return hc.retryPolicy.Execute(func() error {
start := time.Now()
req, err := http.NewRequestWithContext(ctx, check.Method, url, nil)
if err != nil {
return err
}
resp, err := hc.httpClient.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
responseTime := time.Since(start)
// Validate response
if resp.StatusCode != check.Expected.StatusCode {
return fmt.Errorf("unexpected status code: got %d, expected %d",
resp.StatusCode, check.Expected.StatusCode)
}
if responseTime > check.Expected.MaxResponseTime {
return fmt.Errorf("response time %v exceeds threshold %v",
responseTime, check.Expected.MaxResponseTime)
}
// Custom validation
if check.Validator != nil {
if err := check.Validator(resp); err != nil {
return err
}
}
return nil
})
}
// Performance validation during deployment
type PerformanceValidator struct {
monitor *PerformanceMonitor
comparator *PerformanceComparator
thresholds *PerformanceThresholds
}
func (pv *PerformanceValidator) ValidateDeploymentPerformance(env *Environment, thresholds PerformanceThresholds) (*PerformanceValidationResult, error) {
// Collect performance metrics
metrics, err := pv.monitor.CollectMetrics(env, 5*time.Minute)
if err != nil {
return nil, fmt.Errorf("failed to collect metrics: %v", err)
}
// Validate against thresholds
violations := pv.validateThresholds(metrics, thresholds)
// Compare with baseline if available
var comparison *PerformanceComparison
if baseline := pv.getBaseline(env); baseline != nil {
comparison = pv.comparator.Compare(metrics, baseline)
}
result := &PerformanceValidationResult{
Metrics: metrics,
Violations: violations,
Comparison: comparison,
Passed: len(violations) == 0 && (comparison == nil || comparison.IsAcceptable),
Timestamp: time.Now(),
}
return result, nil
}
func (pv *PerformanceValidator) validateThresholds(metrics *PerformanceMetrics, thresholds PerformanceThresholds) []ThresholdViolation {
var violations []ThresholdViolation
if metrics.LatencyP95 > thresholds.MaxLatencyP95 {
violations = append(violations, ThresholdViolation{
Metric: "latency_p95",
Current: metrics.LatencyP95,
Threshold: thresholds.MaxLatencyP95,
Severity: "critical",
})
}
if metrics.ThroughputRPS < thresholds.MinThroughput {
violations = append(violations, ThresholdViolation{
Metric: "throughput",
Current: metrics.ThroughputRPS,
Threshold: thresholds.MinThroughput,
Severity: "critical",
})
}
if metrics.ErrorRate > thresholds.MaxErrorRate {
violations = append(violations, ThresholdViolation{
Metric: "error_rate",
Current: metrics.ErrorRate,
Threshold: thresholds.MaxErrorRate,
Severity: "critical",
})
}
if metrics.MemoryUsage > thresholds.MaxMemoryUsage {
violations = append(violations, ThresholdViolation{
Metric: "memory_usage",
Current: metrics.MemoryUsage,
Threshold: thresholds.MaxMemoryUsage,
Severity: "warning",
})
}
if metrics.CPUUsage > thresholds.MaxCPUUsage {
violations = append(violations, ThresholdViolation{
Metric: "cpu_usage",
Current: metrics.CPUUsage,
Threshold: thresholds.MaxCPUUsage,
Severity: "warning",
})
}
return violations
}
// Rollback management
type RollbackManager struct {
versions *VersionManager
loadBalancer *LoadBalancer
orchestrator *DeploymentOrchestrator
notifications *NotificationService
}
func (rm *RollbackManager) ExecuteAutomaticRollback(trigger RollbackTrigger) error {
fmt.Printf("Executing automatic rollback due to: %s\n", trigger.Reason)
// Get previous version
previousVersion, err := rm.versions.GetPreviousVersion()
if err != nil {
return fmt.Errorf("failed to get previous version: %v", err)
}
// Execute fast rollback
start := time.Now()
switch trigger.Type {
case PerformanceRollback:
err = rm.performanceRollback(previousVersion, trigger)
case HealthCheckRollback:
err = rm.healthCheckRollback(previousVersion, trigger)
case ErrorRateRollback:
err = rm.errorRateRollback(previousVersion, trigger)
default:
err = rm.genericRollback(previousVersion, trigger)
}
duration := time.Since(start)
if err != nil {
rm.notifications.SendRollbackFailure(trigger, err)
return fmt.Errorf("rollback failed: %v", err)
}
rm.notifications.SendRollbackSuccess(trigger, duration)
fmt.Printf("Rollback completed in %v\n", duration)
return nil
}
func (rm *RollbackManager) performanceRollback(version string, trigger RollbackTrigger) error {
// Immediate traffic switch to previous version
if err := rm.loadBalancer.SwitchToVersion(version); err != nil {
return err
}
// Validate rollback success
if err := rm.validateRollbackSuccess(version); err != nil {
return fmt.Errorf("rollback validation failed: %v", err)
}
return nil
}
func (rm *RollbackManager) validateRollbackSuccess(version string) error {
// Wait for traffic switch to take effect
time.Sleep(30 * time.Second)
// Check that performance has recovered
env := rm.getEnvironmentForVersion(version)
validator := NewPerformanceValidator()
result, err := validator.ValidateDeploymentPerformance(env, DefaultPerformanceThresholds())
if err != nil {
return err
}
if !result.Passed {
return fmt.Errorf("rollback did not restore performance: %v", result.Violations)
}
return nil
}
Real-Time Performance Monitoring
Comprehensive Monitoring Infrastructure
// Advanced performance monitoring system
type PerformanceMonitoringSystem struct {
collectors []MetricsCollector
processors []MetricsProcessor
alerters []AlertManager
dashboards []Dashboard
storage MetricsStorage
analyzer *RealTimeAnalyzer
}
type MetricsCollector interface {
Collect(ctx context.Context) ([]Metric, error)
GetMetricTypes() []string
GetCollectionInterval() time.Duration
}
// Application performance metrics collector
type ApplicationMetricsCollector struct {
httpClient *http.Client
endpoints []string
interval time.Duration
}
func (amc *ApplicationMetricsCollector) Collect(ctx context.Context) ([]Metric, error) {
var metrics []Metric
timestamp := time.Now()
for _, endpoint := range amc.endpoints {
// Collect runtime metrics
runtimeMetrics, err := amc.collectRuntimeMetrics(endpoint)
if err != nil {
continue // Log error but continue with other endpoints
}
// Collect HTTP metrics
httpMetrics, err := amc.collectHTTPMetrics(endpoint)
if err != nil {
continue
}
// Collect custom application metrics
appMetrics, err := amc.collectApplicationMetrics(endpoint)
if err != nil {
continue
}
// Combine all metrics
endpointMetrics := append(runtimeMetrics, httpMetrics...)
endpointMetrics = append(endpointMetrics, appMetrics...)
// Add metadata
for _, metric := range endpointMetrics {
metric.Timestamp = timestamp
metric.Labels["endpoint"] = endpoint
metric.Labels["collector"] = "application"
}
metrics = append(metrics, endpointMetrics...)
}
return metrics, nil
}
func (amc *ApplicationMetricsCollector) collectRuntimeMetrics(endpoint string) ([]Metric, error) {
// Get Go runtime metrics via pprof or custom endpoint
resp, err := amc.httpClient.Get(endpoint + "/debug/vars")
if err != nil {
return nil, err
}
defer resp.Body.Close()
var data map[string]interface{}
if err := json.NewDecoder(resp.Body).Decode(&data); err != nil {
return nil, err
}
var metrics []Metric
// Memory metrics
if memStats, ok := data["memstats"].(map[string]interface{}); ok {
metrics = append(metrics, []Metric{
{
Name: "go_memory_heap_bytes",
Value: memStats["HeapInuse"].(float64),
Type: "gauge",
Labels: map[string]string{"type": "heap_inuse"},
},
{
Name: "go_memory_heap_bytes",
Value: memStats["HeapSys"].(float64),
Type: "gauge",
Labels: map[string]string{"type": "heap_sys"},
},
{
Name: "go_memory_stack_bytes",
Value: memStats["StackInuse"].(float64),
Type: "gauge",
Labels: map[string]string{"type": "stack_inuse"},
},
{
Name: "go_gc_duration_seconds",
Value: memStats["PauseNs"].(float64) / 1e9,
Type: "gauge",
Labels: map[string]string{},
},
}...)
}
// Goroutine metrics
if goroutines, ok := data["goroutines"].(float64); ok {
metrics = append(metrics, Metric{
Name: "go_goroutines",
Value: goroutines,
Type: "gauge",
Labels: map[string]string{},
})
}
return metrics, nil
}
// Infrastructure metrics collector
type InfrastructureMetricsCollector struct {
nodeExporter *NodeExporter
k8sClient *kubernetes.Clientset
interval time.Duration
}
func (imc *InfrastructureMetricsCollector) Collect(ctx context.Context) ([]Metric, error) {
var metrics []Metric
// CPU metrics
cpuMetrics, err := imc.collectCPUMetrics()
if err == nil {
metrics = append(metrics, cpuMetrics...)
}
// Memory metrics
memoryMetrics, err := imc.collectMemoryMetrics()
if err == nil {
metrics = append(metrics, memoryMetrics...)
}
// Network metrics
networkMetrics, err := imc.collectNetworkMetrics()
if err == nil {
metrics = append(metrics, networkMetrics...)
}
// Disk metrics
diskMetrics, err := imc.collectDiskMetrics()
if err == nil {
metrics = append(metrics, diskMetrics...)
}
// Kubernetes metrics if available
if imc.k8sClient != nil {
k8sMetrics, err := imc.collectKubernetesMetrics(ctx)
if err == nil {
metrics = append(metrics, k8sMetrics...)
}
}
return metrics, nil
}
// Real-time performance analyzer
type RealTimeAnalyzer struct {
thresholds *AlertThresholds
anomalyDetector *AnomalyDetector
trendAnalyzer *TrendAnalyzer
correlator *MetricsCorrelator
predictor *PerformancePredictor
}
type AlertThresholds struct {
ResponseTime ThresholdConfig `yaml:"response_time"`
Throughput ThresholdConfig `yaml:"throughput"`
ErrorRate ThresholdConfig `yaml:"error_rate"`
MemoryUsage ThresholdConfig `yaml:"memory_usage"`
CPUUsage ThresholdConfig `yaml:"cpu_usage"`
DiskUsage ThresholdConfig `yaml:"disk_usage"`
}
type ThresholdConfig struct {
Warning float64 `yaml:"warning"`
Critical float64 `yaml:"critical"`
Duration time.Duration `yaml:"duration"` // How long threshold must be exceeded
}
func (rta *RealTimeAnalyzer) AnalyzeMetrics(metrics []Metric) (*AnalysisResult, error) {
result := &AnalysisResult{
Timestamp: time.Now(),
Metrics: metrics,
}
// Threshold analysis
thresholdAlerts := rta.checkThresholds(metrics)
result.ThresholdAlerts = thresholdAlerts
// Anomaly detection
anomalies := rta.anomalyDetector.DetectAnomalies(metrics)
result.Anomalies = anomalies
// Trend analysis
trends := rta.trendAnalyzer.AnalyzeTrends(metrics)
result.Trends = trends
// Correlation analysis
correlations := rta.correlator.FindCorrelations(metrics)
result.Correlations = correlations
// Performance prediction
predictions := rta.predictor.PredictPerformance(metrics)
result.Predictions = predictions
// Overall health score
result.HealthScore = rta.calculateHealthScore(result)
return result, nil
}
func (rta *RealTimeAnalyzer) checkThresholds(metrics []Metric) []ThresholdAlert {
var alerts []ThresholdAlert
for _, metric := range metrics {
threshold := rta.getThresholdForMetric(metric.Name)
if threshold == nil {
continue
}
severity := rta.evaluateThreshold(metric.Value, *threshold)
if severity != None {
alerts = append(alerts, ThresholdAlert{
MetricName: metric.Name,
Value: metric.Value,
Threshold: *threshold,
Severity: severity,
Timestamp: metric.Timestamp,
Labels: metric.Labels,
})
}
}
return alerts
}
// Anomaly detection using statistical methods
type AnomalyDetector struct {
models map[string]*AnomalyModel
window time.Duration
sensitivity float64
}
type AnomalyModel struct {
MetricName string
Mean float64
StdDev float64
Seasonality *SeasonalPattern
LastUpdate time.Time
DataPoints []float64
}
func (ad *AnomalyDetector) DetectAnomalies(metrics []Metric) []Anomaly {
var anomalies []Anomaly
for _, metric := range metrics {
model := ad.getOrCreateModel(metric.Name)
// Update model with new data point
model.addDataPoint(metric.Value)
// Check for anomaly
if anomaly := ad.checkAnomaly(metric, model); anomaly != nil {
anomalies = append(anomalies, *anomaly)
}
}
return anomalies
}
func (ad *AnomalyDetector) checkAnomaly(metric Metric, model *AnomalyModel) *Anomaly {
// Z-score based anomaly detection
zScore := math.Abs((metric.Value - model.Mean) / model.StdDev)
threshold := 3.0 * ad.sensitivity // Configurable sensitivity
if zScore > threshold {
return &Anomaly{
MetricName: metric.Name,
Value: metric.Value,
Expected: model.Mean,
ZScore: zScore,
Timestamp: metric.Timestamp,
Severity: ad.calculateAnomalySeverity(zScore),
Labels: metric.Labels,
}
}
return nil
}
// Performance prediction using time series forecasting
type PerformancePredictor struct {
models map[string]*PredictionModel
horizon time.Duration
confidence float64
}
type PredictionModel struct {
MetricName string
Algorithm string // "linear", "arima", "lstm"
Parameters map[string]float64
Accuracy float64
LastTrained time.Time
}
func (pp *PerformancePredictor) PredictPerformance(metrics []Metric) []PerformancePrediction {
var predictions []PerformancePrediction
for _, metric := range metrics {
model := pp.getOrCreateModel(metric.Name)
// Update model if needed
if time.Since(model.LastTrained) > time.Hour {
pp.retrainModel(model, metric.Name)
}
// Generate prediction
prediction := pp.generatePrediction(metric, model)
if prediction != nil {
predictions = append(predictions, *prediction)
}
}
return predictions
}
func (pp *PerformancePredictor) generatePrediction(metric Metric, model *PredictionModel) *PerformancePrediction {
// Simple linear prediction for demonstration
// In production, use more sophisticated algorithms
historyData := pp.getHistoricalData(metric.Name, 24*time.Hour)
if len(historyData) < 10 {
return nil // Insufficient data
}
// Calculate trend
trend := pp.calculateTrend(historyData)
// Project into future
futureValue := metric.Value + (trend * float64(pp.horizon.Hours()))
return &PerformancePrediction{
MetricName: metric.Name,
CurrentValue: metric.Value,
PredictedValue: futureValue,
Confidence: model.Accuracy,
Horizon: pp.horizon,
Timestamp: time.Now(),
Algorithm: model.Algorithm,
}
}
// Alert management and notification
type AlertManager struct {
rules []AlertRule
channels []NotificationChannel
escalation *EscalationPolicy
suppression *AlertSuppression
}
type AlertRule struct {
Name string
Condition string // PromQL-like expression
Duration time.Duration // How long condition must be true
Severity AlertSeverity
Labels map[string]string
Annotations map[string]string
}
type NotificationChannel interface {
Send(alert Alert) error
GetType() string
IsHealthy() bool
}
// Slack notification channel
type SlackChannel struct {
webhookURL string
channel string
username string
httpClient *http.Client
}
func (sc *SlackChannel) Send(alert Alert) error {
message := SlackMessage{
Channel: sc.channel,
Username: sc.username,
Attachments: []SlackAttachment{
{
Color: sc.getSeverityColor(alert.Severity),
Title: alert.Summary,
Text: alert.Description,
Fields: sc.buildFields(alert),
Footer: "Performance Monitoring",
Ts: alert.Timestamp.Unix(),
},
},
}
payload, err := json.Marshal(message)
if err != nil {
return err
}
resp, err := sc.httpClient.Post(sc.webhookURL, "application/json", bytes.NewBuffer(payload))
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("slack notification failed with status: %d", resp.StatusCode)
}
return nil
}
// PagerDuty notification channel
type PagerDutyChannel struct {
integrationKey string
httpClient *http.Client
}
func (pd *PagerDutyChannel) Send(alert Alert) error {
event := PagerDutyEvent{
RoutingKey: pd.integrationKey,
EventAction: "trigger",
Payload: PagerDutyPayload{
Summary: alert.Summary,
Source: alert.Source,
Severity: string(alert.Severity),
Timestamp: alert.Timestamp.Format(time.RFC3339),
CustomDetails: map[string]interface{}{
"description": alert.Description,
"labels": alert.Labels,
"annotations": alert.Annotations,
},
},
}
payload, err := json.Marshal(event)
if err != nil {
return err
}
resp, err := pd.httpClient.Post("https://events.pagerduty.com/v2/enqueue",
"application/json", bytes.NewBuffer(payload))
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusAccepted {
return fmt.Errorf("pagerduty notification failed with status: %d", resp.StatusCode)
}
return nil
}
// Alert escalation policy
type EscalationPolicy struct {
levels []EscalationLevel
}
type EscalationLevel struct {
Duration time.Duration
Channels []NotificationChannel
OnCall []string
}
func (ep *EscalationPolicy) ProcessAlert(alert Alert) error {
for i, level := range ep.levels {
fmt.Printf("Escalation level %d: %v\n", i+1, level.Duration)
// Send to all channels at this level
for _, channel := range level.Channels {
if err := channel.Send(alert); err != nil {
fmt.Printf("Failed to send alert via %s: %v\n", channel.GetType(), err)
}
}
// Wait for acknowledgment or escalation timeout
select {
case <-time.After(level.Duration):
// Continue to next level
continue
case <-ep.waitForAcknowledgment(alert):
// Alert acknowledged, stop escalation
return nil
}
}
return fmt.Errorf("alert not acknowledged after all escalation levels")
}
func (ep *EscalationPolicy) waitForAcknowledgment(alert Alert) <-chan struct{} {
// Implementation would check external system for acknowledgment
// This is a simplified placeholder
ackChan := make(chan struct{})
go func() {
// In real implementation, poll alerting system for acknowledgment
time.Sleep(30 * time.Second) // Simulate acknowledgment
close(ackChan)
}()
return ackChan
}
This comprehensive deployment and monitoring framework ensures that high-performance Go applications can be safely deployed to production with sophisticated performance validation, real-time monitoring, and automated incident response capabilities.