Real time data engineering
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
Read More
Movie Review Aggregation: Web Scraping, Score Normalization, and Real-Time Updates like Rotten Tomatoes
- Sudhir Mangla
- Practical Design , Real Time Data Engineering
- 30 Dec, 2025
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
Read More
The Apache Pulsar Advantage: Why Tencent Moved from Kafka - Multi-Tenancy, Geo-Replication, and Tiered Storage in Practice
- Sudhir Mangla
- JAVA , Real time data engineering
- 17 Dec, 2025
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
Read More
ESPN-Scale Sports Platform Architecture for 10M Concurrent Fans | Real-Time Scores & Notifications
- Sudhir Mangla
- Practical Design , Real time data engineering
- 15 Dec, 2025
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
Read More
Operational Dashboards at Milli-Scale: Materialized Views, Columnstore & Redis Read Models
- Sudhir Mangla
- Data analytics , Real time data engineering
- 05 Dec, 2025
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
Read More
Building Uber's Dynamic Pricing Engine in .NET: Supply-Demand Algorithms, Geospatial Indexing, and Real-Time Market Simulation
- Sudhir Mangla
- Practical Design , Real Time Data Engineering
- 13 Nov, 2025
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
Read More
Twitter's Trending Topics in .NET: Real-Time Stream Processing, Locality-Sensitive Hashing, and Geospatial Clustering
- Sudhir Mangla
- Practical Design , Real time data engineering
- 11 Nov, 2025
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
Read More
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
Read More
Change Data You Can Trust: An Architect's Guide to CDC, Auditing, and CQRS in .NET
- Sudhir mangla
- .NET architecture , Real time data engineering
- 01 Sep, 2025
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
Read More
Modeling the Real World: A Practical Guide to Building Enterprise-Scale Digital Twins with .NET and Azure Digital Twins
- Sudhir mangla
- Real time data engineering , Cloud architecture
- 29 Jul, 2025
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
Read More
Beyond Queues: Architecting Real-Time Data Streaming and Analytics Pipelines in .NET with Kafka and Apache Flink
- Sudhir mangla
- Real Time Data Engineering
- 16 Jul, 2025
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
Read More