- casestudy
- llm
- genai
- quantum-computing
- code
- platform
- algorithms
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Part 2 - Building a Massive-Scale Real-Time Data Platform - Data Partitioning and Flow
Explore how to architect data partitioning and flow for massive-scale event processing. Learn implementation patterns for handling 2.5M events/second across distributed systems using Kafka, Ignite, and Cassandra. Practical insights on partition strategies, data routing, and performance optimization.
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Part 1 - Building a Massive-Scale Real-Time Data Platform - System Overview and Architecture
Dive into the architecture of a telco-scale real-time data platform processing 2.5M events/second and 350GB DPI data/15min. Learn how we combined Apache Kafka, Ignite, and Cassandra to build a high-performance system handling massive telecommunications data for real-time analytics and customer insights.
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Overcoming Synchronization Hurdles in Cellular Network Positioning
In this article, I discuss the challenges of synchronization in cellular network positioning and the importance of precise timing for accurate positioning. I also explore ways to mitigate these errors, including algorithmic adjustments and improving synchronization technologies.
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Reimagining System Design: Balancing Time-Tested Principles with Modern Innovations
Amazon's early system design principles, emphasizing decentralization, asynchrony, autonomy, and simplicity, offer timeless wisdom for building scalable and resilient tech systems today.
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Designing a Real Time Data Processing System
Master real-time data processing - A guide to designing scalable, resilient, and high-performance systems for instant insights.