Everso: Real-Time Event Telemetry & Scoring Platform
Engineered an ultra-low latency event processing engine capable of scoring millions of live social interactions with sub-100ms response times.
The Challenge
Everso was experiencing extreme throughput degradation during live streaming events. Their relational database cluster suffered from lock contention, resulting in dropped telemetry, delayed notification triggers, and runaway server provisioning bills.
The Solution & Architecture
Western Data Lynx migrated the core ingestion to a distributed Apache Kafka message backbone with Apache Flink stateful stream processing and a Redis query cache. Analytical aggregates were automatically mirrored to Snowflake using continuous micro-batching.
Project Metadata
Key Technical Capabilities Delivered
Architectural components engineered specifically to resolve the client's scaling hurdles.
Sub-Second Event Ingestion
Decoupled API endpoints from background processing using high-durability Kafka partitions, absorbing sudden 10x traffic spikes effortlessly.
Dynamic User Scoring Engine
In-memory sliding window calculations delivering live gamification badges and ranking updates with negligible latency.
Automated Cost Governance
Implemented smart partition pruning in Snowflake, reducing analytical compute consumption by 48%.
Technologies Used
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