Blog
Deciphering Coupling in Software Architecture- Architecture Quantum Explored
Learn how independent deployability, functional cohesion, and coupling help define architecture quanta for robust distributed systems.
Ethical Data Practices for Building Better Systems
A critical look at how data-intensive systems can impact society, exploring issues like predictive analytics, surveillance, biases, and the responsibilities of engineers.
Building Correct Systems in Distributed Environments
Explore strategies to build reliable and fault-tolerant systems while handling limitations in transactions, data corruption, and distributed coordination.
Unbundling Monolithic Databases for Flexibility
Learn how unbundling databases helps to achieve scalability and flexibility, combining specialized tools to meet modern data needs.
Integrating Distributed Systems for Unified Data Pipelines
Explore the intricacies of data integration in distributed applications, including synchronizing specialized systems and maintaining correctness across diverse data sources.
Unifying Batch and Stream Processing for Modern Pipelines
Examine how unbounded data streams are processed in real-time applications, including operators, time reasoning, joins, and fault tolerance.
Synchronizing Databases with Real-Time Streams
Examine how streams integrate with databases through change data capture, event sourcing, and the immutability of state, enabling real-time system synchronization.
Enabling Reliable and Scalable Event Streams in Distributed Systems
Explore how messaging systems and partitioned logs enable reliable and scalable transmission of event streams within distributed systems.
Advancing Beyond MapReduce- Modern Frameworks for Scalable Data Processing
Explore alternatives to MapReduce, including advanced dataflow engines and their benefits in efficiency, iterative graph processing, and high-level abstractions.
MapReduce and Distributed Filesystems- Foundations of Scalable Data Processing
Learn how MapReduce operates over distributed filesystems like HDFS, combining computation and storage for scalable data processing.
Leveraging Unix Tools for Efficient Batch Processing
Explore the power of Unix-based batch processing using tools like awk, sort, and grep, and how their design philosophy laid the foundation for modern big data processing.
Achieving Reliability with Distributed Transactions and Consensus Mechanisms
Explore the challenges and algorithms behind distributed transactions, atomic commit protocols, and consensus mechanisms that form the backbone of reliable distributed systems.
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