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feat: Implement real streaming integrations for Kafka, Pub/Sub, and Kinesis
This commit implements production-ready streaming integrations for all three major streaming backends with feature flags: **🚀 AWS Kinesis Streaming Integration (`kinesis` feature)** - Production-ready KinesisProcessor using official AWS SDK for Rust - Support for explicit AWS credentials and default credential chain (IAM roles, environment, profiles) - Real-time record publishing with automatic partition key generation - Comprehensive stream health checks using DescribeStream API with stream status validation - Detailed delivery tracking with sequence numbers, shard IDs, and timing metrics - Robust error handling and proper AWS region configuration **☁️ Google Cloud Pub/Sub Streaming Integration (`google-pubsub` feature)** - Production-ready PubSubProcessor using official Google Cloud Pub/Sub SDK - Support for service account JSON credentials and Application Default Credentials (ADC) - Real-time message publishing with message attributes for event metadata and correlation - Ordering key support for maintaining message order within partitions - Comprehensive error handling and health checks **📡 Apache Kafka Streaming Integration (`kafka` feature)** - Production-ready KafkaProcessor using rdkafka crate - Configurable Kafka producer settings (bootstrap servers, compression, acks, retries, batch size) - Real-time message delivery with partition key support and custom headers - Comprehensive health checks using Kafka cluster metadata fetching and topic validation - Graceful shutdown with message flushing to ensure no data loss **Shared Features** - Feature-gated implementations that gracefully degrade when features are disabled - Comprehensive error handling with detailed error messages for debugging - Message delivery tracking with success/failure reporting and timing metrics - Health checks and graceful shutdown capabilities for all backends - Full backward compatibility with existing placeholder implementations This replaces the placeholder implementations with real SDK integrations while maintaining the same API surface and providing fallback behavior when features are disabled. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
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CHANGELOG.md

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@@ -7,6 +7,40 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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## [Unreleased]
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### Added
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- **📡 Kafka Streaming Integration**
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- Added real Apache Kafka integration with `kafka` feature flag using `rdkafka` crate
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- Implemented production-ready `KafkaProcessor` with real Kafka producer functionality
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- Support for configurable Kafka producer settings (bootstrap servers, compression, acks, retries, batch size, etc.)
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- Real-time message delivery with partition key support for proper message distribution
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- Custom message headers support for tracing, metadata, and event correlation
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- Comprehensive health checks using Kafka cluster metadata fetching and topic validation
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- Graceful shutdown with message flushing to ensure no data loss
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- Producer statistics and metrics reporting for monitoring and debugging
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- Configurable timeouts for health checks and message delivery operations
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- **☁️ Google Cloud Pub/Sub Streaming Integration**
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- Added real Google Cloud Pub/Sub integration with `google-pubsub` feature flag
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- Implemented production-ready `PubSubProcessor` using official Google Cloud Pub/Sub SDK
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- Support for both service account JSON credentials and Application Default Credentials (ADC)
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- Real-time message publishing with message attributes for event metadata and correlation
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- Ordering key support for maintaining message order within partitions
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- Comprehensive error handling with detailed error messages for debugging
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- Health checks and graceful shutdown capabilities
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- Message delivery tracking with success/failure reporting and timing metrics
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- Feature-gated implementation that gracefully degrades when feature is disabled
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- **🚀 AWS Kinesis Streaming Integration**
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- Added real AWS Kinesis Data Streams integration with `kinesis` feature flag
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- Implemented production-ready `KinesisProcessor` using official AWS SDK for Rust
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- Support for both explicit AWS credentials and default credential chain (IAM roles, environment variables, profiles)
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- Real-time record publishing with automatic partition key generation and custom partitioning support
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- Comprehensive stream health checks using `DescribeStream` API with stream status validation
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- Detailed delivery tracking with sequence numbers, shard IDs, and timing metrics
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- Robust error handling with retry logic and detailed error reporting
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- Feature-gated implementation that gracefully degrades when feature is disabled
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- Proper AWS region configuration and credential management
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## [1.14.0] - 2025-07-17
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Cargo.toml

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@@ -109,6 +109,10 @@ google-cloud-auth = { version = "0.4", optional = true }
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vaultrs = { version = "0.7", optional = true }
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azure_security_keyvault = { version = "0.20", optional = true }
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azure_identity = { version = "0.20", optional = true }
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rdkafka = { version = "0.36", optional = true }
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google-cloud-pubsub = { version = "0.25", optional = true }
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google-cloud-googleapis = { version = "0.13", optional = true }
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aws-sdk-kinesis = { version = "1.0", optional = true }
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[features]
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default = ["metrics", "alerting", "webhooks"]
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gcp-kms = ["google-cloud-kms", "google-cloud-auth"]
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vault-kms = ["vaultrs"]
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azure-kv = ["azure_security_keyvault", "azure_identity"]
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kafka = ["rdkafka"]
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google-pubsub = ["google-cloud-pubsub", "google-cloud-auth", "google-cloud-googleapis"]
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kinesis = ["aws-sdk-kinesis", "aws-config"]
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tracing = ["opentelemetry", "opentelemetry_sdk", "opentelemetry-otlp", "tracing-opentelemetry"]
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test = []
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