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Real time data engineering

Redis Beyond Caching: Streams, Pub/Sub, and Data Structures for Real-Time Applications

Redis Beyond Caching: Streams, Pub/Sub, and Data Structures for Real-Time Applications

1 The Paradigm Shift: Redis as a Primary Multi-Model Database Redis is no longer just a fast in-memory cache sitting in front of a “real” database. Many teams now run Redis as a primary, latency

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Movie Review Aggregation: Web Scraping, Score Normalization, and Real-Time Updates like Rotten Tomatoes

Movie Review Aggregation: Web Scraping, Score Normalization, and Real-Time Updates like Rotten Tomatoes

1 Architectural Blueprint: Moving Beyond Simple Scraping Most movie review aggregators begin as small utilities: fetch a page, scrape a number, store it somewhere. That works for a prototype, bu

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The Apache Pulsar Advantage: Why Tencent Moved from Kafka - Multi-Tenancy, Geo-Replication, and Tiered Storage in Practice

The Apache Pulsar Advantage: Why Tencent Moved from Kafka - Multi-Tenancy, Geo-Replication, and Tiered Storage in Practice

1 Introduction: The Scale Ceiling and the Architectural Pivot Streaming platforms behave very differently once they move past “large” and enter true enterprise scale. At modest volumes, most arc

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ESPN-Scale Sports Platform Architecture for 10M Concurrent Fans | Real-Time Scores & Notifications

ESPN-Scale Sports Platform Architecture for 10M Concurrent Fans | Real-Time Scores & Notifications

1 The High-Concurrency Challenge: Defining the "World Cup" Scale An ESPN-scale sports platform that supports 10 million concurrent users, delivers live scores in real time, and sends **o

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Operational Dashboards at Milli-Scale: Materialized Views, Columnstore & Redis Read Models

Operational Dashboards at Milli-Scale: Materialized Views, Columnstore & Redis Read Models

1 The Latency Gap: Why Standard Queries Fail at Scale Operational dashboards succeed only if they stay fast. When a dispatcher refreshes a fleet view or a support agent checks live customer metr

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Building Uber's Dynamic Pricing Engine in .NET: Supply-Demand Algorithms, Geospatial Indexing, and Real-Time Market Simulation

Building Uber's Dynamic Pricing Engine in .NET: Supply-Demand Algorithms, Geospatial Indexing, and Real-Time Market Simulation

1 Building Uber’s Dynamic Pricing Engine in .NET: Supply-Demand Algorithms, Geospatial Indexing, and Real-Time Market Simulation Uber’s pricing engine is one of the most fascinating real-time sy

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Twitter's Trending Topics in .NET: Real-Time Stream Processing, Locality-Sensitive Hashing, and Geospatial Clustering

Twitter's Trending Topics in .NET: Real-Time Stream Processing, Locality-Sensitive Hashing, and Geospatial Clustering

1 The 500-Million-Tweet Challenge: Architecting for Velocity and Volume Every second, thousands of tweets flood the internet — news updates, memes, breaking events, and bots fighting for visibil

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ClickHouse vs. Cassandra vs. ScyllaDB: Choosing a High-Ingest Database for Real-Time Analytics

ClickHouse vs. Cassandra vs. ScyllaDB: Choosing a High-Ingest Database for Real-Time Analytics

1 Why high-ingest real-time analytics is hard (and worth it) In today’s world of digital services, sensors, user interactions, and complex systems, the demand isn’t just for storing massive volu

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Change Data You Can Trust: An Architect's Guide to CDC, Auditing, and CQRS in .NET

Change Data You Can Trust: An Architect's Guide to CDC, Auditing, and CQRS in .NET

1 The Inevitability of Change: Why Capturing Data Evolution is Mission-Critical Every system we design in .NET eventually collides with the same truth: data does not stay still. Orders are created

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Modeling the Real World: A Practical Guide to Building Enterprise-Scale Digital Twins with .NET and Azure Digital Twins

Modeling the Real World: A Practical Guide to Building Enterprise-Scale Digital Twins with .NET and Azure Digital Twins

1 Introduction: Beyond the Hype – Digital Twins as a Strategic Imperative Digital twins have moved beyond buzzwords and glossy vendor presentations. In the context of modern enterprises, digital t

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Beyond Queues: Architecting Real-Time Data Streaming and Analytics Pipelines in .NET with Kafka and Apache Flink

Beyond Queues: Architecting Real-Time Data Streaming and Analytics Pipelines in .NET with Kafka and Apache Flink

1 Introduction: The Evolution from Batch to Real-Time 1.1 The Limitations of Traditional Batch Processing For decades, businesses relied on nightly batch jobs to process transactional data. T

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