33 Continuous Delivery mit Gradle

33.1 Continuous Delivery Prinzipien und Gradle-Integration

Continuous Delivery erweitert Continuous Integration um die Fähigkeit, Software jederzeit in Production deployen zu können. Gradle fungiert als zentrale Engine, die Build, Test und Deployment in eine automatisierte Pipeline integriert. Jeder Commit durchläuft eine Deployment-Pipeline, die sukzessive Confidence in die Release-Readiness aufbaut. Die Pipeline automatisiert manuelle Prozesse, standardisiert Deployments und reduziert das Risiko von Production-Releases. Gradle’s Task-System orchestriert diese Pipeline-Stages und macht den gesamten Delivery-Prozess reproduzierbar und versioniert.

Die Implementation von Continuous Delivery mit Gradle basiert auf mehreren Kernprinzipien. Build-Once-Deploy-Many garantiert, dass identische Artefakte durch alle Environments promoted werden. Environment-Configuration-Separation trennt Code von umgebungsspezifischen Einstellungen. Automated-Quality-Gates enforced Standards ohne manuelles Eingreifen. Rollback-Capability ermöglicht schnelle Reversion bei Problemen. Diese Prinzipien werden durch Gradle-Tasks und -Konfigurationen implementiert, die den Delivery-Prozess deterministisch und auditierbar machen.

Der Gradle-basierte Delivery-Prozess integriert mit verschiedenen Deployment-Targets und -Technologien. Cloud-Platforms wie AWS, Azure oder Google Cloud werden über ihre APIs oder CLIs angesprochen. Container-Orchestration-Systems wie Kubernetes oder Docker Swarm konsumieren Container-Images und Deployment-Manifests. Traditional Application-Servers empfangen WAR- oder EAR-Files. Diese Vielfalt wird durch Gradle’s Plugin-Ecosystem und Custom-Tasks abstrahiert, wodurch einheitliche Deployment-Interfaces entstehen.

// Continuous Delivery Pipeline Configuration
plugins {
    id("com.bmuschko.docker-remote-api") version "9.3.2"
    id("com.google.cloud.tools.jib") version "3.4.0"
    id("org.springframework.boot") version "3.1.0"
}

// Pipeline Stages Definition
val pipelineStages = listOf(
    "compile",
    "unit-test",
    "integration-test",
    "security-scan",
    "quality-gate",
    "build-image",
    "deploy-staging",
    "smoke-test",
    "performance-test",
    "deploy-production"
)

// Version Management for CD
version = "${project.property("version.major")}.${project.property("version.minor")}.${project.property("version.patch")}-${getBuildNumber()}"

fun getBuildNumber(): String {
    return System.getenv("BUILD_NUMBER") ?: "LOCAL"
}

// Artifact Repository Configuration
publishing {
    publications {
        create<MavenPublication>("release") {
            from(components["java"])
            
            artifact(tasks.register<Jar>("sourcesJar") {
                from(sourceSets.main.get().allJava)
                archiveClassifier.set("sources")
            })
            
            artifact(tasks.register<Jar>("configJar") {
                from("src/main/resources/config") {
                    include("*.yml", "*.properties")
                    exclude("**/local.*")
                }
                archiveClassifier.set("config")
            })
            
            // Version metadata for traceability
            pom.properties.put("buildNumber", getBuildNumber())
            pom.properties.put("gitCommit", getGitCommit())
            pom.properties.put("buildTimestamp", Instant.now().toString())
        }
    }
    
    repositories {
        maven {
            name = "releases"
            url = uri("https://nexus.company.com/repository/releases")
            credentials(PasswordCredentials::class)
        }
    }
}

// Continuous Delivery Master Task
tasks.register("continuousDelivery") {
    description = "Execute complete CD pipeline"
    group = "delivery"
    
    val stages = pipelineStages.map { stage ->
        tasks.findByName(stage) ?: tasks.register(stage) {
            doLast {
                logger.lifecycle("Executing pipeline stage: $stage")
            }
        }
    }
    
    dependsOn(stages)
    
    doFirst {
        logger.lifecycle("Starting Continuous Delivery Pipeline")
        logger.lifecycle("Version: ${project.version}")
        logger.lifecycle("Build: ${getBuildNumber()}")
    }
    
    doLast {
        val pipelineReport = file("${buildDir}/reports/cd-pipeline.json")
        pipelineReport.parentFile.mkdirs()
        pipelineReport.writeText(generatePipelineReport())
        
        logger.lifecycle("Continuous Delivery Pipeline completed successfully")
    }
}

33.2 Deployment-Pipeline-Automatisierung

Die Automatisierung der Deployment-Pipeline eliminiert manuelle Schritte und reduziert Human-Error. Gradle Tasks implementieren jeden Pipeline-Stage mit klaren Input/Output-Contracts. Pre-Deployment-Validations verifizieren Environment-Readiness und Artifact-Integrity. Deployment-Execution nutzt idempotente Operations für Reliability. Post-Deployment-Verifications confirmen successful Rollout. Diese Stage-basierte Struktur ermöglicht partial Retries und granulare Failure-Analysis.

Environment-Promotion-Workflows bewegen Artefakte systematisch durch Deployment-Stages. Development-Deployments erfolgen automatisch nach jedem Commit. Staging-Deployments triggern nach erfolgreichen Integration-Tests. Production-Deployments erfordern Manual-Approval oder Schedule-basierte Trigger. Gradle implementiert diese Workflows durch Conditional-Task-Execution und External-Trigger-Integration. Die Promotion-Logic berücksichtigt Quality-Gates und Compliance-Requirements für regulated Industries.

// Deployment Pipeline Implementation
abstract class DeploymentStage : DefaultTask() {
    @Input
    abstract val environment: Property<String>
    
    @Input
    abstract val artifact: RegularFileProperty
    
    @Input
    abstract val version: Property<String>
    
    @Internal
    abstract val deploymentConfig: Property<DeploymentConfiguration>
    
    init {
        group = "deployment"
    }
    
    @TaskAction
    fun deploy() {
        val env = environment.get()
        val config = deploymentConfig.get()
        
        logger.lifecycle("Deploying to $env environment")
        
        // Pre-deployment checks
        performHealthCheck(config.healthEndpoint)
        backupCurrentVersion(config)
        
        // Deployment execution
        val deploymentId = initiateDeployment(config)
        
        try {
            // Deploy artifact
            deployArtifact(artifact.get().asFile, config)
            
            // Wait for deployment to complete
            waitForDeployment(deploymentId, config.timeout)
            
            // Post-deployment validation
            validateDeployment(config)
            runSmokeTests(config.smokeTestEndpoint)
            
            logger.lifecycle("Deployment to $env completed successfully")
            
        } catch (e: Exception) {
            logger.error("Deployment to $env failed: ${e.message}")
            
            // Automatic rollback
            if (config.autoRollback) {
                logger.lifecycle("Initiating automatic rollback")
                rollbackDeployment(deploymentId, config)
            }
            
            throw e
        }
    }
    
    private fun performHealthCheck(endpoint: String) {
        val healthy = retry(3) {
            val response = URL(endpoint).readText()
            response.contains("\"status\":\"UP\"")
        }
        
        if (!healthy) {
            throw GradleException("Environment health check failed")
        }
    }
    
    private fun validateDeployment(config: DeploymentConfiguration) {
        // Version verification
        val deployedVersion = getDeployedVersion(config.versionEndpoint)
        if (deployedVersion != version.get()) {
            throw GradleException("Version mismatch: expected ${version.get()}, got $deployedVersion")
        }
        
        // Component health checks
        config.componentEndpoints.forEach { (component, endpoint) ->
            val componentHealthy = checkComponentHealth(endpoint)
            if (!componentHealthy) {
                throw GradleException("Component $component is not healthy")
            }
        }
    }
}

// Environment-specific deployment tasks
val environments = mapOf(
    "development" to DeploymentConfiguration(
        url = "https://dev.deploy.company.com",
        healthEndpoint = "https://dev.api.company.com/health",
        smokeTestEndpoint = "https://dev.api.company.com/smoke",
        timeout = Duration.ofMinutes(5),
        autoRollback = false,
        approvalRequired = false
    ),
    "staging" to DeploymentConfiguration(
        url = "https://staging.deploy.company.com",
        healthEndpoint = "https://staging.api.company.com/health",
        smokeTestEndpoint = "https://staging.api.company.com/smoke",
        timeout = Duration.ofMinutes(10),
        autoRollback = true,
        approvalRequired = false
    ),
    "production" to DeploymentConfiguration(
        url = "https://prod.deploy.company.com",
        healthEndpoint = "https://api.company.com/health",
        smokeTestEndpoint = "https://api.company.com/smoke",
        timeout = Duration.ofMinutes(15),
        autoRollback = true,
        approvalRequired = true
    )
)

environments.forEach { (env, config) ->
    tasks.register<DeploymentStage>("deployTo${env.capitalize()}") {
        description = "Deploy to $env environment"
        
        environment.set(env)
        artifact.set(tasks.named<Jar>("bootJar").flatMap { it.archiveFile })
        version.set(project.version.toString())
        deploymentConfig.set(config)
        
        // Environment-specific dependencies
        when (env) {
            "development" -> dependsOn("test")
            "staging" -> dependsOn("integrationTest", "securityScan")
            "production" -> dependsOn("qualityGate", "approvalGate")
        }
        
        // Conditional execution
        onlyIf {
            when (env) {
                "production" -> {
                    val branch = getCurrentBranch()
                    branch == "main" || branch.startsWith("release/")
                }
                else -> true
            }
        }
    }
}

// Automated promotion between environments
tasks.register("promoteToProduction") {
    description = "Promote staging deployment to production"
    group = "delivery"
    
    dependsOn("verifyStagingDeployment")
    
    doLast {
        val stagingVersion = getStagingVersion()
        val artifact = downloadArtifact(stagingVersion)
        
        // Create promotion record
        val promotion = PromotionRecord(
            sourceEnvironment = "staging",
            targetEnvironment = "production",
            version = stagingVersion,
            promotedBy = System.getProperty("user.name"),
            timestamp = Instant.now(),
            testResults = collectTestResults(),
            approvals = collectApprovals()
        )
        
        recordPromotion(promotion)
        
        // Execute production deployment
        project.tasks.named("deployToProduction").get().apply {
            (this as DeploymentStage).artifact.set(artifact)
            (this as DeploymentStage).version.set(stagingVersion)
        }.execute()
    }
}

33.3 Zero-Downtime-Deployment-Strategien

Zero-Downtime-Deployments ermöglichen Software-Updates ohne Service-Interruption. Blue-Green-Deployments maintainen zwei identische Production-Environments, wobei Traffic zwischen ihnen geswitcht wird. Rolling-Deployments updaten Instances sequentiell mit Load-Balancer-Integration. Canary-Releases rollen neue Versions graduell zu increasing User-Percentages aus. Gradle implementiert diese Strategien durch orchestrierte Task-Sequences, die Infrastructure-APIs und Monitoring-Systems integrieren.

Die Implementation berücksichtigt State-Management und Session-Affinity. Database-Migrations nutzen Backward-Compatible-Changes und Multi-Phase-Rollouts. Session-Replication oder Sticky-Sessions preserven User-State während Deployments. Cache-Warming prepariert neue Instances vor Traffic-Reception. Diese Techniken werden durch Gradle-Tasks koordiniert, die Deployment-Complexity vor Entwicklern abstrahieren.

// Blue-Green Deployment Implementation
tasks.register("blueGreenDeployment") {
    description = "Execute blue-green deployment"
    group = "deployment"
    
    doLast {
        val currentEnvironment = determineActiveEnvironment() // "blue" or "green"
        val targetEnvironment = if (currentEnvironment == "blue") "green" else "blue"
        
        logger.lifecycle("Current active: $currentEnvironment, deploying to: $targetEnvironment")
        
        // Deploy to inactive environment
        deployToEnvironment(targetEnvironment)
        
        // Warm up new environment
        warmUpEnvironment(targetEnvironment)
        
        // Run health checks
        val healthy = performHealthChecks(targetEnvironment)
        if (!healthy) {
            throw GradleException("Health checks failed for $targetEnvironment")
        }
        
        // Run smoke tests
        runSmokeTests(targetEnvironment)
        
        // Switch traffic
        logger.lifecycle("Switching traffic from $currentEnvironment to $targetEnvironment")
        updateLoadBalancer(targetEnvironment)
        
        // Monitor new environment
        monitorDeployment(targetEnvironment, Duration.ofMinutes(5))
        
        // Cleanup old environment (after delay)
        scheduleCleanup(currentEnvironment, Duration.ofMinutes(30))
    }
}

// Rolling Deployment Implementation
tasks.register("rollingDeployment") {
    description = "Execute rolling deployment"
    group = "deployment"
    
    doLast {
        val instances = getInstanceList()
        val batchSize = maxOf(1, instances.size / 3) // Deploy in thirds
        val batchDelay = Duration.ofSeconds(30)
        
        instances.chunked(batchSize).forEachIndexed { index, batch ->
            logger.lifecycle("Deploying batch ${index + 1}/${(instances.size + batchSize - 1) / batchSize}")
            
            batch.parallelStream().forEach { instance ->
                // Remove from load balancer
                removeFromLoadBalancer(instance)
                
                // Deploy new version
                deployToInstance(instance)
                
                // Health check
                waitForHealthy(instance)
                
                // Add back to load balancer
                addToLoadBalancer(instance)
                
                logger.lifecycle("Instance ${instance.id} updated successfully")
            }
            
            // Monitor batch before proceeding
            monitorBatch(batch, Duration.ofMinutes(2))
            
            // Delay between batches
            if (index < instances.chunked(batchSize).size - 1) {
                Thread.sleep(batchDelay.toMillis())
            }
        }
    }
}

// Canary Deployment Implementation
tasks.register("canaryDeployment") {
    description = "Execute canary deployment with gradual rollout"
    group = "deployment"
    
    val canaryStages = listOf(
        CanaryStage(1, Duration.ofMinutes(5)),    // 1% for 5 minutes
        CanaryStage(5, Duration.ofMinutes(10)),   // 5% for 10 minutes
        CanaryStage(10, Duration.ofMinutes(15)),  // 10% for 15 minutes
        CanaryStage(25, Duration.ofMinutes(20)),  // 25% for 20 minutes
        CanaryStage(50, Duration.ofMinutes(30)),  // 50% for 30 minutes
        CanaryStage(100, null)                    // 100% - complete
    )
    
    doLast {
        val baselineMetrics = collectBaselineMetrics()
        var canaryInstance: Instance? = null
        
        try {
            canaryStages.forEach { stage ->
                logger.lifecycle("Canary stage: ${stage.percentage}% of traffic")
                
                // Deploy or scale canary
                if (canaryInstance == null) {
                    canaryInstance = deployCanaryInstance()
                } else {
                    scaleCanary(canaryInstance, stage.percentage)
                }
                
                // Update traffic routing
                updateTrafficSplit(
                    canary = stage.percentage,
                    stable = 100 - stage.percentage
                )
                
                // Monitor and validate
                if (stage.duration != null) {
                    val endTime = Instant.now().plus(stage.duration)
                    
                    while (Instant.now().isBefore(endTime)) {
                        val currentMetrics = collectMetrics()
                        
                        // Compare with baseline
                        val degradation = compareMetrics(baselineMetrics, currentMetrics)
                        
                        if (degradation.errorRate > 0.01 || degradation.latency > 1.2) {
                            logger.error("Canary metrics degradation detected")
                            throw CanaryFailureException("Metrics degradation: $degradation")
                        }
                        
                        Thread.sleep(30000) // Check every 30 seconds
                    }
                    
                    logger.lifecycle("Canary stage ${stage.percentage}% completed successfully")
                }
            }
            
            logger.lifecycle("Canary deployment completed successfully")
            
        } catch (e: Exception) {
            logger.error("Canary deployment failed: ${e.message}")
            
            // Rollback
            logger.lifecycle("Rolling back canary deployment")
            updateTrafficSplit(canary = 0, stable = 100)
            
            canaryInstance?.let { terminateInstance(it) }
            
            throw e
        }
    }
}

// Feature Flag Deployment
tasks.register("featureFlagDeployment") {
    description = "Deploy with feature flags for gradual rollout"
    group = "deployment"
    
    doLast {
        val featureFlags = mapOf(
            "newPaymentFlow" to FeatureFlag(
                enabled = false,
                rolloutPercentage = 0,
                enabledForUsers = emptyList()
            ),
            "improvedSearch" to FeatureFlag(
                enabled = true,
                rolloutPercentage = 10,
                enabledForUsers = listOf("beta-testers")
            )
        )
        
        // Deploy application with flags
        deployWithFeatureFlags(featureFlags)
        
        // Gradual feature enablement
        val rolloutPlan = listOf(
            RolloutStep("newPaymentFlow", 5, Duration.ofHours(1)),
            RolloutStep("newPaymentFlow", 25, Duration.ofHours(4)),
            RolloutStep("newPaymentFlow", 50, Duration.ofDays(1)),
            RolloutStep("newPaymentFlow", 100, null)
        )
        
        rolloutPlan.forEach { step ->
            updateFeatureFlag(step.feature, step.percentage)
            
            if (step.duration != null) {
                monitorFeatureMetrics(step.feature, step.duration)
            }
        }
    }
}

33.4 Release-Orchestrierung und Rollback

Release-Orchestrierung koordiniert komplexe Multi-Component-Deployments. Service-Dependencies determinieren Deployment-Order. Database-Migrations precedieren Application-Deployments. Configuration-Updates synchronisieren mit Service-Restarts. Gradle’s Task-Dependencies und Parallel-Execution-Capabilities orchestrieren diese komplexen Workflows. Cross-Service-Coordination erfolgt über Shared-State oder Message-Passing zwischen Tasks.

Rollback-Mechanismen ermöglichen schnelle Recovery bei Deployment-Problemen. Automatic-Rollback triggert bei Health-Check-Failures oder Metric-Degradation. Manual-Rollback bietet Operator-Control bei subtilen Issues. Database-Rollback nutzt Migration-Tools wie Flyway oder Liquibase. State-Recovery restoriert Configuration und Persistent-Data. Diese Rollback-Capabilities werden als First-Class-Tasks implementiert, die regelmäßig getestet werden.

// Release Orchestration
tasks.register("orchestratedRelease") {
    description = "Orchestrate multi-component release"
    group = "release"
    
    doLast {
        val releaseVersion = project.version.toString()
        val components = listOf(
            "database",
            "backend-api",
            "frontend-app",
            "mobile-api",
            "notification-service"
        )
        
        val releaseOrchestrator = ReleaseOrchestrator(releaseVersion)
        
        try {
            // Pre-release validation
            releaseOrchestrator.validateDependencies(components)
            releaseOrchestrator.checkVersionCompatibility()
            
            // Create release checkpoint
            val checkpoint = releaseOrchestrator.createCheckpoint()
            
            // Database migrations first
            logger.lifecycle("Executing database migrations")
            executeDatabaseMigrations(releaseVersion)
            
            // Deploy services in dependency order
            val deploymentOrder = releaseOrchestrator.calculateDeploymentOrder(components)
            
            deploymentOrder.forEach { component ->
                logger.lifecycle("Deploying $component")
                
                val deployTask = tasks.findByName("deploy${component.capitalize()}")
                    ?: throw GradleException("No deploy task for $component")
                
                deployTask.execute()
                
                // Wait for component to be ready
                waitForComponentReady(component)
                
                // Run integration tests
                runComponentIntegrationTests(component)
            }
            
            // Post-release validation
            releaseOrchestrator.validateRelease()
            
            // Update release manifest
            updateReleaseManifest(releaseVersion, components)
            
            logger.lifecycle("Release $releaseVersion completed successfully")
            
        } catch (e: Exception) {
            logger.error("Release failed: ${e.message}")
            
            // Orchestrated rollback
            performOrchestrated rollback(checkpoint, components)
            
            throw e
        }
    }
}

// Rollback Task
tasks.register("rollback") {
    description = "Rollback to previous release"
    group = "release"
    
    val targetVersion = project.findProperty("rollbackVersion") as String?
        ?: getPreviousReleaseVersion()
    
    doLast {
        logger.lifecycle("Rolling back to version: $targetVersion")
        
        val rollbackPlan = RollbackPlan(
            targetVersion = targetVersion,
            currentVersion = getCurrentDeployedVersion(),
            strategy = determineRollbackStrategy(),
            components = identifyAffectedComponents()
        )
        
        // Validate rollback feasibility
        validateRollbackPlan(rollbackPlan)
        
        // Execute rollback
        when (rollbackPlan.strategy) {
            RollbackStrategy.BLUE_GREEN -> {
                // Simple traffic switch
                switchToInactiveEnvironment()
            }
            
            RollbackStrategy.REDEPLOY -> {
                // Redeploy previous version
                rollbackPlan.components.reversed().forEach { component ->
                    redeployComponent(component, targetVersion)
                }
            }
            
            RollbackStrategy.DATABASE_RESTORE -> {
                // Complex rollback with data restore
                createDatabaseBackup("pre-rollback")
                restoreDatabaseToVersion(targetVersion)
                redeployAllComponents(targetVersion)
            }
        }
        
        // Verify rollback
        verifyRollback(targetVersion)
        
        // Send notifications
        notifyRollback(rollbackPlan)
        
        logger.lifecycle("Rollback to $targetVersion completed")
    }
}

// Database Migration Management
tasks.register("databaseMigration") {
    description = "Execute database migrations for CD"
    group = "database"
    
    doLast {
        val migrationConfig = DatabaseMigrationConfig(
            url = System.getenv("DB_URL"),
            username = System.getenv("DB_USERNAME"),
            password = System.getenv("DB_PASSWORD"),
            schemas = listOf("public", "audit")
        )
        
        // Backup before migration
        createDatabaseBackup("pre-migration-${project.version}")
        
        try {
            // Execute forward migrations
            flyway {
                url = migrationConfig.url
                user = migrationConfig.username
                password = migrationConfig.password
                schemas = migrationConfig.schemas
                
                // CD-specific configuration
                baselineOnMigrate = true
                validateOnMigrate = true
                placeholders = mapOf(
                    "version" to project.version.toString(),
                    "environment" to System.getenv("ENVIRONMENT")
                )
            }
            
            tasks.named("flywayMigrate").get().execute()
            
            // Validate migration
            tasks.named("flywayValidate").get().execute()
            
            // Record migration metadata
            recordMigrationMetadata(project.version.toString())
            
        } catch (e: Exception) {
            logger.error("Migration failed: ${e.message}")
            
            // Attempt rollback
            if (project.hasProperty("autoRollbackDb")) {
                tasks.named("flywayUndo").get().execute()
            }
            
            throw e
        }
    }
}

33.5 Monitoring und Feedback-Loops

Continuous-Delivery-Monitoring bietet Real-Time-Visibility in den Deployment-Prozess. Deployment-Dashboards zeigen Current-State aller Environments. Release-Velocity-Metrics tracken Deployment-Frequency und Lead-Time. Failure-Analysis identifiziert Common-Deployment-Issues. Diese Monitoring-Capabilities transformieren CD von Black-Box zu Observable-System. Integration mit APM-Tools correlating Deployments mit Production-Metrics.

Feedback-Loops schließen den Continuous-Delivery-Cycle. Automated-Tests validieren Deployments kontinuierlich. User-Metrics informieren Feature-Adoption und Performance-Impact. Error-Tracking identifiziert Deployment-introduced Issues. Diese Feedback-Mechanismen werden durch Gradle-Tasks gesammelt und zu actionable Insights aggregated. Post-Deployment-Reports summarizing Success-Metrics und Improvement-Opportunities.

// CD Monitoring Integration
tasks.register("configureCDMonitoring") {
    description = "Configure monitoring for CD pipeline"
    group = "monitoring"
    
    doLast {
        // Deployment Events
        val deploymentEvent = DeploymentEvent(
            version = project.version.toString(),
            environment = System.getenv("TARGET_ENV"),
            timestamp = Instant.now(),
            deployer = System.getProperty("user.name"),
            source = "gradle-cd"
        )
        
        // Send to monitoring systems
        sendToDatadog(deploymentEvent)
        sendToNewRelic(deploymentEvent)
        sendToPrometheus(deploymentEvent)
        
        // Configure alerts
        val alertRules = listOf(
            AlertRule(
                name = "Deployment Failure",
                condition = "deployment.status == 'failed'",
                severity = "critical",
                action = "page"
            ),
            AlertRule(
                name = "Slow Deployment",
                condition = "deployment.duration > 1800",
                severity = "warning",
                action = "notify"
            ),
            AlertRule(
                name = "High Error Rate Post-Deploy",
                condition = "error_rate > baseline * 1.5 AND time_since_deploy < 300",
                severity = "critical",
                action = "rollback"
            )
        )
        
        deployAlertRules(alertRules)
    }
}

// Deployment Feedback Collection
tasks.register("collectDeploymentFeedback") {
    description = "Collect and analyze deployment feedback"
    group = "feedback"
    
    doLast {
        val feedback = DeploymentFeedback(
            // Automated test results
            testResults = collectTestResults(),
            
            // Performance metrics
            performanceMetrics = PerformanceMetrics(
                responseTime = measureResponseTime(),
                throughput = measureThroughput(),
                errorRate = measureErrorRate(),
                resourceUsage = measureResourceUsage()
            ),
            
            // User metrics
            userMetrics = UserMetrics(
                activeUsers = countActiveUsers(),
                featureAdoption = measureFeatureAdoption(),
                userSatisfaction = getUserSatisfactionScore()
            ),
            
            // Business metrics
            businessMetrics = BusinessMetrics(
                conversionRate = calculateConversionRate(),
                revenue = calculateRevenue(),
                customerRetention = measureRetention()
            )
        )
        
        // Generate feedback report
        val report = generateFeedbackReport(feedback)
        
        // Store for analysis
        storeFeedbackData(feedback)
        
        // Trigger actions based on feedback
        if (feedback.performanceMetrics.errorRate > 0.05) {
            triggerIncident("High error rate detected post-deployment")
        }
        
        if (feedback.userMetrics.userSatisfaction < 3.5) {
            notifyProductTeam("User satisfaction degraded after release")
        }
        
        logger.lifecycle("Deployment feedback collected and analyzed")
    }
}

// Continuous Improvement Task
tasks.register("analyzeDeliveryMetrics") {
    description = "Analyze CD metrics for improvement opportunities"
    group = "analytics"
    
    doLast {
        val metrics = collectDeliveryMetrics(days = 30)
        
        val analysis = DeliveryAnalysis(
            // DORA metrics
            deploymentFrequency = calculateDeploymentFrequency(metrics),
            leadTime = calculateLeadTime(metrics),
            mttr = calculateMTTR(metrics),
            changeFailureRate = calculateChangeFailureRate(metrics),
            
            // Pipeline efficiency
            pipelineEfficiency = PipelineEfficiency(
                buildTime = metrics.averageBuildTime,
                testTime = metrics.averageTestTime,
                deploymentTime = metrics.averageDeploymentTime,
                endToEndTime = metrics.averageEndToEndTime
            ),
            
            // Quality metrics
            qualityMetrics = QualityMetrics(
                defectEscapeRate = calculateDefectEscapeRate(metrics),
                testCoverage = metrics.averageTestCoverage,
                codeQuality = metrics.averageCodeQuality
            ),
            
            // Recommendations
            recommendations = generateRecommendations(metrics)
        )
        
        // Generate improvement report
        val reportFile = file("${buildDir}/reports/cd-improvement.html")
        reportFile.writeText(generateImprovementReport(analysis))
        
        logger.lifecycle("CD Analysis Report: ${reportFile.toURI()}")
        
        // Log key findings
        analysis.recommendations.forEach { recommendation ->
            logger.lifecycle("Improvement Opportunity: $recommendation")
        }
    }
}

Continuous-Delivery-Maturity-Assessment evaluating Process-Sophistication. Automation-Level measuring Manual-vs-Automated-Steps. Test-Coverage assessing Quality-Gates-Comprehensiveness. Deployment-Frequency indicating Release-Confidence. Recovery-Speed demonstrating Operational-Excellence. Diese Maturity-Metrics guiding CD-Process-Evolution und identifying Investment-Priorities. Regular Assessments tracking Progress toward Full-Automation und Zero-Downtime-Deployments.