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Technologies Involved:
Web Apps
Area Of Work: Machine Learning
Project Description

A growing enterprise focused on high-level data science workflows, Pulsepops sought a robust, real-time performance dashboard to manage complex data streams with minimal architectural overhead. They approached Oodles to streamline dashboard UI development and Kafka integration, aiming to maintain clarity at scale. A modular, scalable UI was crafted to fit their operational goals.
Scope Of Work

The client needed a responsive performance dashboard with real-time Kafka data integration to support data science operations. The challenge involved simplifying architectural complexity while ensuring precision in data display. This included dashboard UI design, Kafka connectivity setup, and real-time performance visualization for intelligent monitoring and control.
Our Solution

To address the client's need for a performance-driven, real-time dashboard, Oodles implemented a Kafka-integrated UI using a modular front-end framework. The architecture was designed to allow business leaders to focus on strategic data insights without getting bogged down in technical depth.

Key Features Implemented:

  • Kafka-based Real-time Streaming: Integrated Kafka for seamless ingestion and real-time processing of data streams.
  • Dynamic Performance Dashboard: Built using React.js for an interactive, high-performance user interface.
  • Modular UI Architecture: Enabled customization and scalability for future analytics expansion.
  • Microservice-friendly Backend: Designed to integrate easily with existing microservices handling analytics, logs, and metrics.

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