- 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.
Success Story
About the Client
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
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