云脉科技
Case Studies

Big Data Processing Platform Development

Built a PB-scale data processing platform for an internet company, enabling real-time data collection and analysis

Internet Company Internet
JavaBig DataFlinkKafka

Background

A rapidly growing internet company reached 10 million DAU, generating TB-scale log data daily. Their existing architecture couldn’t handle both real-time analytics and batch processing needs.

Solution

Technical Architecture

  • Collection Layer: Flume + Kafka (log ingestion)
  • Processing Layer: Flink (streaming) + Spark (batch)
  • Storage Layer: HDFS + HBase + Elasticsearch
  • Service Layer: Spring Boot (API gateway)

Key Features

  1. Real-time Processing: User behavior analytics, anomaly detection, real-time alerts
  2. Batch Analytics: User profiling, reporting, data mining
  3. Data Governance: Data lineage tracking, quality monitoring, metadata management
  4. Visualization: Custom dashboards, real-time data screens

Results

  • Daily data volume: PB-scale
  • Real-time processing latency: sub-second
  • Query performance: 10x faster
  • Operations cost reduced by 40%

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