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MACRO NEPAL
Progressive Delivery Pipeline in Java
awiskar acharya
November 11, 2025
8:03 am

Introduction

Progressive Delivery is an advanced deployment strategy that gradually releases new versions of applications to users while minimizing risk. It combines techniques like feature flags, canary releases, blue-green deployments, and A/B testing with comprehensive observability.

Architecture Overview

Progressive Delivery Pipeline Components

┌─────────────────────────────────────────────────────────────┐ │ Pipeline Controller │ ├─────────────────────────────────────────────────────────────┤ │ Canary Analysis │ Feature Flags │ Traffic Management │ ├─────────────────────────────────────────────────────────────┤ │ Observability & Metrics Collection │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────┐ │ │ │ Metrics │ │ Logging │ │ Tracing │ │ │ └─────────────┘ └─────────────┘ └─────────────────────┘ │ ├─────────────────────────────────────────────────────────────┤ │ Deployment Platforms │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────┐ │ │ │ Kubernetes │ │ Service │ │ Cloud Platforms │ │ │ │ │ │ Mesh │ │ │ │ │ └─────────────┘ └─────────────┘ └─────────────────────┘ │ └─────────────────────────────────────────────────────────────┘

Core Implementation

1. Feature Flags with LaunchDarkly

@Component public class FeatureFlagManager { private final LDClient ldClient; private final Map<String, Boolean> localCache = new ConcurrentHashMap<>(); @Value("${launchdarkly.sdk-key}") private String sdkKey; @PostConstruct public void init() { LDConfig config = new LDConfig.Builder() .events(Events.sendEvents()) .build(); LDUser user = new LDUser.Builder("server-side") .email("[email protected]") .build(); this.ldClient = new LDClient(sdkKey, config); } public boolean isFeatureEnabled(String featureKey, String userId) { return localCache.computeIfAbsent(featureKey + ":" + userId, key -> ldClient.boolVariation(featureKey, createUser(userId), false)); } public boolean isFeatureEnabled(String featureKey, String userId, Map<String, String> customAttributes) { LDUser user = new LDUser.Builder(userId) .custom("environment", customAttributes.getOrDefault("environment", "production")) .custom("userType", customAttributes.getOrDefault("userType", "standard")) .custom("region", customAttributes.getOrDefault("region", "us-east")) .build(); return ldClient.boolVariation(featureKey, user, false); } public void setFeatureForUser(String featureKey, String userId, boolean enabled) { String cacheKey = featureKey + ":" + userId; localCache.put(cacheKey, enabled); } public Map<String, Object> getAllFeatures(String userId) { LDUser user = createUser(userId); Map<String, Object> allFlags = ldClient.allFlags(user); return allFlags != null ? allFlags : Collections.emptyMap(); } private LDUser createUser(String userId) { return new LDUser.Builder(userId) .anonymous(true) .build(); } @PreDestroy public void shutdown() { if (ldClient != null) { ldClient.close(); } } } // Feature flag constants public class FeatureFlags { public static final String NEW_PAYMENT_PROCESSOR = "new-payment-processor"; public static final String DARK_MODE_UI = "dark-mode-ui"; public static final String ADVANCED_ANALYTICS = "advanced-analytics"; public static final String CANARY_DEPLOYMENT = "canary-deployment-v2"; }

2. Canary Release Controller

@Service public class CanaryReleaseService { private final FeatureFlagManager featureFlagManager; private final MetricsService metricsService; private final Map<String, CanaryConfig> canaryConfigs = new ConcurrentHashMap<>(); public CanaryReleaseService(FeatureFlagManager featureFlagManager, MetricsService metricsService) { this.featureFlagManager = featureFlagManager; this.metricsService = metricsService; initializeCanaryConfigs(); } private void initializeCanaryConfigs() { // Pre-defined canary configurations canaryConfigs.put("payment-service-v2", new CanaryConfig( "payment-service-v2", 10, // initial traffic percentage 300, // evaluation period in seconds Map.of( "errorRate", new Threshold(2.0, 5.0), // warning: 2%, critical: 5% "responseTime", new Threshold(500.0, 1000.0), // ms "throughput", new Threshold(100.0, 50.0) // requests/sec ) )); } public boolean shouldRouteToCanary(String serviceName, String userId, HttpServletRequest request) { CanaryConfig config = canaryConfigs.get(serviceName); if (config == null) { return false; } // Check if user is in canary group if (isUserInCanaryGroup(userId, config.getTrafficPercentage())) { // Record metrics for canary analysis recordCanaryRequest(serviceName, userId, "canary"); return true; } // Record metrics for baseline recordCanaryRequest(serviceName, userId, "baseline"); return false; } public CanaryAnalysisResult analyzeCanary(String serviceName) { CanaryConfig config = canaryConfigs.get(serviceName); if (config == null) { return CanaryAnalysisResult.error("Canary config not found"); } Map<String, MetricData> canaryMetrics = metricsService.getCanaryMetrics( serviceName, "canary", config.getEvaluationPeriod()); Map<String, MetricData> baselineMetrics = metricsService.getCanaryMetrics( serviceName, "baseline", config.getEvaluationPeriod()); List<MetricAnalysis> analyses = new ArrayList<>(); boolean shouldPromote = true; boolean shouldRollback = false; for (Map.Entry<String, Threshold> entry : config.getThresholds().entrySet()) { String metricName = entry.getKey(); Threshold threshold = entry.getValue(); MetricData canaryData = canaryMetrics.get(metricName); MetricData baselineData = baselineMetrics.get(metricName); MetricAnalysis analysis = analyzeMetric( metricName, canaryData, baselineData, threshold); analyses.add(analysis); if (analysis.getStatus() == AnalysisStatus.CRITICAL) { shouldPromote = false; shouldRollback = true; } else if (analysis.getStatus() == AnalysisStatus.WARNING) { shouldPromote = false; } } return new CanaryAnalysisResult(analyses, shouldPromote, shouldRollback); } public void updateTrafficPercentage(String serviceName, int percentage) { CanaryConfig config = canaryConfigs.get(serviceName); if (config != null && percentage >= 0 && percentage <= 100) { config.setTrafficPercentage(percentage); // Update feature flag accordingly featureFlagManager.setFeatureForUser( "canary-" + serviceName, "global", percentage > 0); } } private boolean isUserInCanaryGroup(String userId, int trafficPercentage) { if (userId == null) { return Math.random() * 100 < trafficPercentage; } // Consistent hashing for user-based routing int userHash = Math.abs(userId.hashCode()) % 100; return userHash < trafficPercentage; } private void recordCanaryRequest(String serviceName, String userId, String version) { metricsService.recordCanaryRequest(serviceName, version, userId); } private MetricAnalysis analyzeMetric(String metricName, MetricData canaryData, MetricData baselineData, Threshold threshold) { // Implementation of metric analysis logic double canaryValue = canaryData != null ? canaryData.getValue() : 0.0; double baselineValue = baselineData != null ? baselineData.getValue() : 0.0; AnalysisStatus status = AnalysisStatus.HEALTHY; String message = String.format("Canary: %.2f, Baseline: %.2f", canaryValue, baselineValue); if (canaryValue > threshold.getCritical()) { status = AnalysisStatus.CRITICAL; } else if (canaryValue > threshold.getWarning()) { status = AnalysisStatus.WARNING; } return new MetricAnalysis(metricName, status, canaryValue, baselineValue, message); } } // Configuration classes @Data class CanaryConfig { private final String serviceName; private int trafficPercentage; private final int evaluationPeriod; // seconds private final Map<String, Threshold> thresholds; public CanaryConfig(String serviceName, int trafficPercentage, int evaluationPeriod, Map<String, Threshold> thresholds) { this.serviceName = serviceName; this.trafficPercentage = trafficPercentage; this.evaluationPeriod = evaluationPeriod; this.thresholds = thresholds; } } @Data class Threshold { private final double warning; private final double critical; } @Data class CanaryAnalysisResult { private final List<MetricAnalysis> analyses; private final boolean shouldPromote; private final boolean shouldRollback; private String errorMessage; public CanaryAnalysisResult(List<MetricAnalysis> analyses, boolean shouldPromote, boolean shouldRollback) { this.analyses = analyses; this.shouldPromote = shouldPromote; this.shouldRollback = shouldRollback; } public static CanaryAnalysisResult error(String message) { CanaryAnalysisResult result = new CanaryAnalysisResult( Collections.emptyList(), false, false); result.setErrorMessage(message); return result; } } enum AnalysisStatus { HEALTHY, WARNING, CRITICAL } @Data class MetricAnalysis { private final String metricName; private final AnalysisStatus status; private final double canaryValue; private final double baselineValue; private final String message; }

3. Traffic Management with Spring Cloud Gateway

@Component public class CanaryRoutingFilter implements GlobalFilter, Ordered { private final CanaryReleaseService canaryService; private final FeatureFlagManager featureFlagManager; public CanaryRoutingFilter(CanaryReleaseService canaryService, FeatureFlagManager featureFlagManager) { this.canaryService = canaryService; this.featureFlagManager = featureFlagManager; } @Override public Mono<Void> filter(ServerWebExchange exchange, GatewayFilterChain chain) { ServerHttpRequest request = exchange.getRequest(); String path = request.getPath().value(); // Extract user ID from request (from JWT, header, or session) String userId = extractUserId(request); // Check if this is a canary-enabled service String serviceName = extractServiceName(path); if (shouldApplyCanaryRouting(serviceName, userId)) { return routeToCanaryOrBaseline(exchange, chain, serviceName, userId); } return chain.filter(exchange); } private Mono<Void> routeToCanaryOrBaseline(ServerWebExchange exchange, GatewayFilterChain chain, String serviceName, String userId) { boolean useCanary = canaryService.shouldRouteToCanary(serviceName, userId, null); String targetUrl = useCanary ? getCanaryUrl(serviceName) : getBaselineUrl(serviceName); // Rewrite the request to target appropriate version ServerHttpRequest modifiedRequest = exchange.getRequest().mutate() .uri(URI.create(targetUrl + exchange.getRequest().getPath().value())) .build(); return chain.filter(exchange.mutate().request(modifiedRequest).build()); } private boolean shouldApplyCanaryRouting(String serviceName, String userId) { if (serviceName == null) { return false; } // Check feature flag for canary deployment return featureFlagManager.isFeatureEnabled( "canary-" + serviceName, userId != null ? userId : "anonymous"); } private String extractUserId(ServerHttpRequest request) { // Extract from JWT token String authHeader = request.getHeaders().getFirst("Authorization"); if (authHeader != null && authHeader.startsWith("Bearer ")) { return extractUserIdFromToken(authHeader.substring(7)); } // Extract from custom header String userIdHeader = request.getHeaders().getFirst("X-User-Id"); if (userIdHeader != null) { return userIdHeader; } return null; } private String extractUserIdFromToken(String token) { // Implement JWT token parsing try { // Using JWT library to extract user ID return "user-from-token"; // Simplified } catch (Exception e) { return null; } } private String extractServiceName(String path) { // Extract service name from path pattern if (path.startsWith("/api/payments")) return "payment-service"; if (path.startsWith("/api/users")) return "user-service"; if (path.startsWith("/api/orders")) return "order-service"; return null; } private String getBaselineUrl(String serviceName) { return "http://" + serviceName + "-baseline:8080"; } private String getCanaryUrl(String serviceName) { return "http://" + serviceName + "-canary:8080"; } @Override public int getOrder() { return Ordered.HIGHEST_PRECEDENCE; } }

4. Metrics Collection and Analysis

@Service public class MetricsService { private final MeterRegistry meterRegistry; private final Map<String, Deque<MetricData>> metricsStore = new ConcurrentHashMap<>(); public MetricsService(MeterRegistry meterRegistry) { this.meterRegistry = meterRegistry; } public void recordCanaryRequest(String serviceName, String version, String userId) { String metricName = "canary.requests"; // Record to Micrometer Counter.builder(metricName) .tag("service", serviceName) .tag("version", version) .tag("userId", userId != null ? userId : "anonymous") .register(meterRegistry) .increment(); // Store for custom analysis storeMetric(serviceName, version, "request_count", 1.0); } public void recordError(String serviceName, String version, String errorType) { Counter.builder("canary.errors") .tag("service", serviceName) .tag("version", version) .tag("errorType", errorType) .register(meterRegistry) .increment(); storeMetric(serviceName, version, "error_count", 1.0); } public void recordResponseTime(String serviceName, String version, long durationMs) { Timer.builder("canary.response_time") .tag("service", serviceName) .tag("version", version) .register(meterRegistry) .record(durationMs, TimeUnit.MILLISECONDS); storeMetric(serviceName, version, "response_time", (double) durationMs); } public Map<String, MetricData> getCanaryMetrics(String serviceName, String version, int timeWindowSeconds) { Map<String, MetricData> result = new HashMap<>(); // Calculate metrics for the time window long cutoffTime = System.currentTimeMillis() - (timeWindowSeconds * 1000L); double requestCount = getMetricSum(serviceName, version, "request_count", cutoffTime); double errorCount = getMetricSum(serviceName, version, "error_count", cutoffTime); double totalResponseTime = getMetricSum(serviceName, version, "response_time", cutoffTime); double avgResponseTime = requestCount > 0 ? totalResponseTime / requestCount : 0.0; double errorRate = requestCount > 0 ? (errorCount / requestCount) * 100.0 : 0.0; result.put("errorRate", new MetricData("errorRate", errorRate, TimeUnit.SECONDS)); result.put("responseTime", new MetricData("responseTime", avgResponseTime, TimeUnit.MILLISECONDS)); result.put("throughput", new MetricData("throughput", requestCount / timeWindowSeconds, null)); return result; } private void storeMetric(String serviceName, String version, String metricType, double value) { String key = String.format("%s:%s:%s", serviceName, version, metricType); MetricData data = new MetricData(metricType, value, TimeUnit.MILLISECONDS); metricsStore.computeIfAbsent(key, k -> new ConcurrentLinkedDeque<>()) .add(data); // Clean up old data (keep last hour) cleanOldData(key, System.currentTimeMillis() - 3600000L); } private double getMetricSum(String serviceName, String version, String metricType, long cutoffTime) { String key = String.format("%s:%s:%s", serviceName, version, metricType); Deque<MetricData> dataQueue = metricsStore.get(key); if (dataQueue == null) { return 0.0; } return dataQueue.stream() .filter(data -> data.getTimestamp() >= cutoffTime) .mapToDouble(MetricData::getValue) .sum(); } private void cleanOldData(String key, long cutoffTime) { Deque<MetricData> dataQueue = metricsStore.get(key); if (dataQueue != null) { dataQueue.removeIf(data -> data.getTimestamp() < cutoffTime); } } } @Data class MetricData { private final String name; private final double value; private final TimeUnit unit; private final long timestamp = System.currentTimeMillis(); public MetricData(String name, double value, TimeUnit unit) { this.name = name; this.value = value; this.unit = unit; } }

Advanced Deployment Strategies

5. Blue-Green Deployment Controller

@Service public class BlueGreenDeploymentService { private final KubernetesClient kubernetesClient; private final FeatureFlagManager featureFlagManager; private final Map<String, BlueGreenState> deploymentStates = new ConcurrentHashMap<>(); public BlueGreenDeploymentService(FeatureFlagManager featureFlagManager) { this.featureFlagManager = featureFlagManager; this.kubernetesClient = new DefaultKubernetesClient(); } public DeploymentResult switchTraffic(String serviceName, String targetColor) { BlueGreenState state = deploymentStates.get(serviceName); if (state == null) { return DeploymentResult.error("Service not found: " + serviceName); } try { // Update service to point to target deployment updateServiceSelector(serviceName, targetColor); // Update state state.setActiveColor(targetColor); state.setLastSwitchTime(Instant.now()); // Update feature flags featureFlagManager.setFeatureForUser( "blue-green-" + serviceName, "global", "green".equals(targetColor)); return DeploymentResult.success( String.format("Traffic switched to %s for service %s", targetColor, serviceName)); } catch (Exception e) { return DeploymentResult.error("Failed to switch traffic: " + e.getMessage()); } } public DeploymentResult performRollback(String serviceName) { BlueGreenState state = deploymentStates.get(serviceName); if (state == null) { return DeploymentResult.error("Service not found: " + serviceName); } String previousColor = state.getActiveColor().equals("blue") ? "green" : "blue"; return switchTraffic(serviceName, previousColor); } public void registerService(String serviceName, String initialColor) { deploymentStates.put(serviceName, new BlueGreenState(serviceName, initialColor, Instant.now())); } public BlueGreenState getServiceState(String serviceName) { return deploymentStates.get(serviceName); } private void updateServiceSelector(String serviceName, String color) { // Kubernetes API call to update service selector Service service = kubernetesClient.services() .inNamespace("default") .withName(serviceName) .get(); if (service != null) { service.getSpec().getSelector().put("version", color); kubernetesClient.services().inNamespace("default").createOrReplace(service); } } } @Data class BlueGreenState { private final String serviceName; private String activeColor; private Instant lastSwitchTime; private boolean healthy = true; public BlueGreenState(String serviceName, String activeColor, Instant lastSwitchTime) { this.serviceName = serviceName; this.activeColor = activeColor; this.lastSwitchTime = lastSwitchTime; } } @Data class DeploymentResult { private final boolean success; private final String message; private final Instant timestamp; private DeploymentResult(boolean success, String message) { this.success = success; this.message = message; this.timestamp = Instant.now(); } public static DeploymentResult success(String message) { return new DeploymentResult(true, message); } public static DeploymentResult error(String message) { return new DeploymentResult(false, message); } }

Pipeline Orchestration

6. Progressive Delivery Pipeline Controller

@Service public class ProgressiveDeliveryPipeline { private final CanaryReleaseService canaryService; private final BlueGreenDeploymentService blueGreenService; private final FeatureFlagManager featureFlagManager; private final MetricsService metricsService; public ProgressiveDeliveryPipeline(CanaryReleaseService canaryService, BlueGreenDeploymentService blueGreenService, FeatureFlagManager featureFlagManager, MetricsService metricsService) { this.canaryService = canaryService; this.blueGreenService = blueGreenService; this.featureFlagManager = featureFlagManager; this.metricsService = metricsService; } public PipelineResult executeCanaryRelease(String serviceName, CanaryReleaseConfig config) { try { // Step 1: Initial deployment with 0% traffic deployCanaryVersion(serviceName, config.getVersion()); canaryService.updateTrafficPercentage(serviceName, 0); // Step 2: Gradually increase traffic for (int percentage : config.getTrafficSteps()) { canaryService.updateTrafficPercentage(serviceName, percentage); // Wait for evaluation period Thread.sleep(config.getStepDuration() * 1000L); // Analyze metrics CanaryAnalysisResult analysis = canaryService.analyzeCanary(serviceName); if (analysis.isShouldRollback()) { rollbackCanary(serviceName); return PipelineResult.rollback("Canary analysis failed at " + percentage + "%"); } if (!analysis.isShouldPromote() && percentage < 100) { // Continue to next step continue; } if (analysis.isShouldPromote() || percentage == 100) { promoteCanary(serviceName); return PipelineResult.success("Canary promoted successfully at " + percentage + "%"); } } return PipelineResult.success("Canary release completed"); } catch (Exception e) { rollbackCanary(serviceName); return PipelineResult.error("Canary release failed: " + e.getMessage()); } } public PipelineResult executeBlueGreenSwitch(String serviceName, String targetColor) { try { // Verify target deployment is healthy if (!isDeploymentHealthy(serviceName, targetColor)) { return PipelineResult.error("Target deployment is not healthy"); } // Switch traffic DeploymentResult result = blueGreenService.switchTraffic(serviceName, targetColor); if (result.isSuccess()) { // Monitor post-switch metrics monitorPostSwitchHealth(serviceName); return PipelineResult.success("Blue-green switch completed"); } else { return PipelineResult.error("Blue-green switch failed: " + result.getMessage()); } } catch (Exception e) { // Automatic rollback on failure blueGreenService.performRollback(serviceName); return PipelineResult.error("Blue-green switch failed, rolled back: " + e.getMessage()); } } public PipelineResult executeFeatureRollout(String featureKey, FeatureRolloutConfig config) { try { // Gradual feature rollout for (int percentage : config.getRolloutPercentages()) { // Update feature flag for percentage of users updateFeatureFlagPercentage(featureKey, percentage); // Wait and monitor Thread.sleep(config.getEvaluationPeriod() * 1000L); // Check feature-specific metrics if (!isFeatureHealthy(featureKey)) { disableFeature(featureKey); return PipelineResult.rollback("Feature rollout failed at " + percentage + "%"); } } // Enable feature for 100% of users updateFeatureFlagPercentage(featureKey, 100); return PipelineResult.success("Feature rollout completed"); } catch (Exception e) { disableFeature(featureKey); return PipelineResult.error("Feature rollout failed: " + e.getMessage()); } } private void deployCanaryVersion(String serviceName, String version) { // Implementation depends on your deployment platform System.out.println("Deploying canary version " + version + " for " + serviceName); } private void rollbackCanary(String serviceName) { canaryService.updateTrafficPercentage(serviceName, 0); // Additional rollback logic System.out.println("Rolled back canary for " + serviceName); } private void promoteCanary(String serviceName) { canaryService.updateTrafficPercentage(serviceName, 100); // Additional promotion logic System.out.println("Promoted canary for " + serviceName); } private boolean isDeploymentHealthy(String serviceName, String color) { // Check deployment health through metrics return true; // Simplified } private void monitorPostSwitchHealth(String serviceName) { // Monitor metrics after traffic switch } private void updateFeatureFlagPercentage(String featureKey, int percentage) { // Update feature flag configuration } private boolean isFeatureHealthy(String featureKey) { // Check feature-specific health metrics return true; } private void disableFeature(String featureKey) { featureFlagManager.setFeatureForUser(featureKey, "global", false); } } @Data class CanaryReleaseConfig { private final String version; private final List<Integer> trafficSteps; // [1, 5, 10, 25, 50, 100] private final int stepDuration; // seconds } @Data class FeatureRolloutConfig { private final List<Integer> rolloutPercentages; private final int evaluationPeriod; // seconds } @Data class PipelineResult { private final PipelineStatus status; private final String message; private final Instant timestamp; private final Map<String, Object> metrics; public PipelineResult(PipelineStatus status, String message) { this.status = status; this.message = message; this.timestamp = Instant.now(); this.metrics = new HashMap<>(); } public static PipelineResult success(String message) { return new PipelineResult(PipelineStatus.SUCCESS, message); } public static PipelineResult error(String message) { return new PipelineResult(PipelineStatus.ERROR, message); } public static PipelineResult rollback(String message) { return new PipelineResult(PipelineStatus.ROLLBACK, message); } public PipelineResult withMetric(String key, Object value) { this.metrics.put(key, value); return this; } } enum PipelineStatus { SUCCESS, ERROR, ROLLBACK, IN_PROGRESS }

Monitoring and Observability

7. Comprehensive Monitoring

@RestController @RequestMapping("/api/pipeline") public class PipelineMonitoringController { private final ProgressiveDeliveryPipeline pipeline; private final CanaryReleaseService canaryService; private final MetricsService metricsService; public PipelineMonitoringController(ProgressiveDeliveryPipeline pipeline, CanaryReleaseService canaryService, MetricsService metricsService) { this.pipeline = pipeline; this.canaryService = canaryService; this.metricsService = metricsService; } @GetMapping("/canary/{serviceName}/analysis") public ResponseEntity<CanaryAnalysisResult> getCanaryAnalysis( @PathVariable String serviceName) { CanaryAnalysisResult analysis = canaryService.analyzeCanary(serviceName); return ResponseEntity.ok(analysis); } @GetMapping("/canary/{serviceName}/metrics") public ResponseEntity<Map<String, Object>> getCanaryMetrics( @PathVariable String serviceName, @RequestParam(defaultValue = "300") int timeWindow) { Map<String, MetricData> canaryMetrics = metricsService.getCanaryMetrics( serviceName, "canary", timeWindow); Map<String, MetricData> baselineMetrics = metricsService.getCanaryMetrics( serviceName, "baseline", timeWindow); Map<String, Object> result = new HashMap<>(); result.put("canary", canaryMetrics); result.put("baseline", baselineMetrics); result.put("timestamp", Instant.now()); return ResponseEntity.ok(result); } @PostMapping("/canary/{serviceName}/traffic") public ResponseEntity<Map<String, Object>> updateTraffic( @PathVariable String serviceName, @RequestParam int percentage) { canaryService.updateTrafficPercentage(serviceName, percentage); Map<String, Object> response = new HashMap<>(); response.put("message", "Traffic percentage updated to " + percentage + "%"); response.put("service", serviceName); response.put("timestamp", Instant.now()); return ResponseEntity.ok(response); } @GetMapping("/health") public ResponseEntity<Map<String, Object>> getPipelineHealth() { Map<String, Object> health = new HashMap<>(); health.put("status", "healthy"); health.put("timestamp", Instant.now()); health.put("version", "1.0.0"); // Add component health checks health.put("components", Map.of( "canaryService", "operational", "featureFlags", "operational", "metricsService", "operational" )); return ResponseEntity.ok(health); } }

Best Practices and Configuration

8. Configuration Management

@Configuration @ConfigurationProperties(prefix = "progressive-delivery") @Data public class ProgressiveDeliveryConfig { private CanaryConfig canary = new CanaryConfig(); private BlueGreenConfig blueGreen = new BlueGreenConfig(); private FeatureFlagsConfig featureFlags = new FeatureFlagsConfig(); private MonitoringConfig monitoring = new MonitoringConfig(); @Data public static class CanaryConfig { private boolean enabled = true; private int defaultTrafficStep = 10; private int defaultEvaluationPeriod = 300; // seconds private Map<String, Double> defaultThresholds = Map.of( "errorRate", 2.0, "responseTime", 500.0 ); } @Data public static class BlueGreenConfig { private boolean enabled = true; private int healthCheckTimeout = 30; // seconds private boolean autoRollback = true; } @Data public static class FeatureFlagsConfig { private String provider = "launchdarkly"; private int cacheTimeout = 30; // seconds private boolean localDevelopment = false; } @Data public static class MonitoringConfig { private int metricsRetention = 3600; // seconds private String[] alertChannels = {"slack", "email"}; private boolean enableTracing = true; } } // Health Indicator @Component public class ProgressiveDeliveryHealthIndicator implements HealthIndicator { private final FeatureFlagManager featureFlagManager; private final MetricsService metricsService; public ProgressiveDeliveryHealthIndicator(FeatureFlagManager featureFlagManager, MetricsService metricsService) { this.featureFlagManager = featureFlagManager; this.metricsService = metricsService; } @Override public Health health() { try { // Check feature flag service connectivity Map<String, Object> features = featureFlagManager.getAllFeatures("health-check"); // Check metrics service Map<String, MetricData> metrics = metricsService.getCanaryMetrics( "health-check", "baseline", 60); return Health.up() .withDetail("featureFlags", "connected") .withDetail("metrics", "collecting") .withDetail("timestamp", Instant.now()) .build(); } catch (Exception e) { return Health.down() .withDetail("error", e.getMessage()) .withDetail("timestamp", Instant.now()) .build(); } } }

Conclusion

This Progressive Delivery Pipeline implementation provides:

  1. Canary Releases: Gradual traffic shifting with automatic rollback
  2. Blue-Green Deployments: Instant traffic switching with rollback capability
  3. Feature Flags: Controlled feature rollouts with health monitoring
  4. Comprehensive Metrics: Real-time monitoring and analysis
  5. Automated Pipeline: Orchestrated deployment workflows

Key benefits include:

  • Reduced Risk: Gradual exposure to new versions
  • Fast Rollback: Automatic reversal on issues detection
  • Data-Driven Decisions: Metrics-based promotion criteria
  • User Experience: Controlled feature exposure
  • Operational Excellence: Automated deployment processes

The pipeline can be extended with additional strategies like A/B testing, dark launches, and chaos engineering for comprehensive progressive delivery capabilities.

Category : JAVA

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