Real-Time Analytics Pipeline

# Amazon MSK (Kafka) Cluster
resource "aws_msk_cluster" "analytics_kafka" {
  cluster_name           = "analytics-kafka"
  kafka_version          = "2.8.1"
  number_of_broker_nodes = 3
  broker_node_group_info {
    instance_type   = "kafka.m5.large"
    ebs_volume_size = 1000
    client_subnets  = [aws_subnet.private_a.id, aws_subnet.private_b.id, aws_subnet.private_c.id]
    security_groups = [aws_security_group.msk_sg.id]
  }
  encryption_info {
    encryption_in_transit {
      client_broker = "TLS"
    }
  }
  tags = {
    Environment = "production"
  }
}

# Kinesis Analytics for Apache Flink
resource "aws_kinesisanalyticsv2_application" "realtime_analytics" {
  name                   = "RealTimeAnalytics"
  runtime_environment    = "FLINK-1_15"
  service_execution_role = aws_iam_role.kinesis_analytics_role.arn
  application_configuration {
    flink_application_configuration {
      checkpoint_configuration {
        configuration_type = "DEFAULT"
      }
      parallelism_configuration {
        configuration_type = "CUSTOM"
        parallelism        = 4
        parallelism_per_kpu = 1
      }
    }
    environment_properties {
      property_group {
        property_group_id = "ConsumerConfig"
        property_map = {
          "kafka.source.topic" = "analytics-data"
          "kafka.bootstrap.servers" = aws_msk_cluster.analytics_kafka.bootstrap_brokers_tls
        }
      }
    }
    application_code_configuration {
      code_content {
        s3_content_location {
          bucket_arn = aws_s3_bucket.code_bucket.arn
          file_key   = "flink-app.jar"
        }
      }
      code_content_type = "ZIP"
    }
  }
}

# S3 Bucket for Data Lake (Delta Lake)
resource "aws_s3_bucket" "analytics_datalake" {
  bucket = "analytics-datalake"
  tags = {
    Environment = "production"
  }
}

resource "aws_s3_bucket_policy" "datalake_policy" {
  bucket = aws_s3_bucket.analytics_datalake.id
  policy = jsonencode({
    Version = "2012-10-17"
    Statement = [
      {
        Effect = "Allow"
        Principal = {
          Service = "kinesisanalytics.amazonaws.com"
        }
        Action = ["s3:PutObject", "s3:GetObject"]
        Resource = "${aws_s3_bucket.analytics_datalake.arn}/*"
      }
    ]
  })
}

# ElastiCache Redis for Caching
resource "aws_elasticache_cluster" "analytics_cache" {
  cluster_id           = "analytics-cache"
  engine              = "redis"
  node_type           = "cache.t3.micro"
  num_cache_nodes     = 1
  parameter_group_name = "default.redis6.x"
  subnet_group_name    = aws_elasticache_subnet_group.cache_subnet.name
  security_group_ids   = [aws_security_group.cache_sg.id]
}

# OpenSearch for Query Engine
resource "aws_opensearch_domain" "analytics_query" {
  domain_name    = "analytics-query"
  engine_version = "OpenSearch_2.11"
  cluster_config {
    instance_type = "t3.medium.search"
    instance_count = 2
  }
  ebs_options {
    ebs_enabled = true
    volume_size = 20
  }
  vpc_options {
    subnet_ids         = [aws_subnet.private_a.id]
    security_group_ids = [aws_security_group.opensearch_sg.id]
  }
}

# CloudWatch Dashboard for Monitoring
resource "aws_cloudwatch_dashboard" "analytics_pipeline" {
  dashboard_name = "AnalyticsPipeline"
  dashboard_body = jsonencode({
    widgets = [
      {
        type = "metric"
        x = 0
        y = 0
        width = 12
        height = 6
        properties = {
          metrics = [
            ["AWS/KinesisAnalytics", "RecordsProcessed", "ApplicationName", "RealTimeAnalytics"],
            ["AWS/Kafka", "MessagesInPerSec", "ClusterName", "analytics-kafka"]
          ]
          view = "timeSeries"
          stacked = false
          region = "us-west-2"
          period = 300
        }
      }
    ]
  })
}
                

import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import org.apache.flink.streaming.connectors.s3.FlinkS3Sink;
import org.apache.flink.formats.json.JsonRowSerializationSchema;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple2;

import java.util.Properties;

public class RealTimeAnalyticsJob {
    public static void main(String[] args) throws Exception {
        // Set up Flink environment
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.enableCheckpointing(60000); // Checkpoint every 60 seconds

        // Kafka consumer properties
        Properties kafkaProps = new Properties();
        kafkaProps.setProperty("bootstrap.servers", "kafka-broker:9092");
        kafkaProps.setProperty("group.id", "analytics-group");

        // Create Kafka consumer
        FlinkKafkaConsumer consumer = new FlinkKafkaConsumer<>(
            "analytics-data",
            new SimpleStringSchema(),
            kafkaProps
        );

        // Data stream from Kafka
        DataStream sourceStream = env
            .addSource(consumer)
            .assignTimestampsAndWatermarks(WatermarkStrategy.forMonotonousTimestamps());

        // Process stream: Parse JSON and aggregate
        DataStream> processedStream = sourceStream
            .map(new MapFunction>() {
                @Override
                public Tuple2 map(String value) {
                    // Parse JSON (simplified example)
                    String userId = parseJson(value, "userId"); // Custom JSON parsing
                    return new Tuple2<>(userId, 1);
                }
            })
            .keyBy(value -> value.f0)
            .window(TumblingEventTimeWindows.of(Time.seconds(60)))
            .sum(1);

        // Serialize to JSON
        DataStream outputStream = processedStream
            .map(tuple -> "{\"userId\": \"" + tuple.f0 + "\", \"count\": " + tuple.f1 + "}");

        // Sink to S3
        outputStream.addSink(new FlinkS3Sink<>(
            JsonRowSerializationSchema.builder().build(),
            "s3://analytics-datalake/aggregates/",
            new DefaultS3SinkConfiguration()
        ));

        // Execute job
        env.execute("Real-Time Analytics Job");
    }

    private static String parseJson(String json, String key) {
        // Simplified JSON parsing logic
        return json.contains(key) ? json.split("\"" + key + "\":\"")[1].split("\"")[0] : "unknown";
    }
}