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Cybage Helped in Big Data Validation of Next Generation Machine Data Processing

Success Story

Services:
  • Product Engineering

Cybage Helped in Big Data Validation of Next Generation Machine Data Processing

Software & Hi-Tech
Posted On: 20 March, 2024

About the Client

  • Is a global full lifecycle API management SaaS solution provider for internal APIs, B2B APIs, and public API programs.
  • Has headquarters in Palo Alto, California, and offices in North America, Europe, Asia, the Middle East, Africa and South America.
  • Its platform seamlessly connects any application or data source; intelligently unifies data for greater access, trust, and control; and confidently predicts outcomes in real time and at scale.

Business Needs

  • Validating next-generation machine data processing solution for a rapidly extending business (250,000+ Events per second & over 10 TB per day).
  • Ensuring near real-time analytics processing pipeline with 1-minute aggregation window and making it available in less than 2 minutes for the report engine.
  • Creating configurable Test Cluster mimicking massive, multi structured voluminous data ingestion test pipeline.
  • Identifying and tuning auto-scalable cloud solution for low cost with honoring service performance and resilience SLAs.
  • Ensuring processing of high velocity batch pipeline with each record being processed within 30 min window.
  • Confirming multi-cluster deployment against chaos engineering practices for multi-failure cases (Partial, Full, Gradual, Sudden etc.).

Solutions

  • Designed an end-to-end QA strategy and test cluster targeting the 4Vs of Big Data.
  • Ensured data quality and integrity validation at Data ingestion layer & Data processing layer.
  • Derived and benchmarked every layer of the platform to achieve optimized cost to performance cluster provisioning.
  • Performed data analytics and reports validation against multiple data Dimensions for both batch as well as real time data processing.
  • Validated efficient deployment considering reliability & fault tolerance across Multi-zone cluster topology.

Business Impact

  • Enhanced processed data quality with comprehensive test covering Volume, Variety, Value and Velocity.
  • Derived best practices for tracking application and cluster health.
  • Enriched the relationship between throughput, required processing, and infrastructure capacity.
  • Ensured valuable insights into Op-Ex and future scaling needs.
  • Increased ROI by fine-tuning configurations for optimized services utilization.
  • Improved application scalability, availability, and readiness for anticipated failover cases.

Technology Stack

Cybage Helped in Big Data Validation of Next Generation Machine Data Processing
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