Data replication is a cornerstone of modern distributed computing, crucial for ensuring high availability, fault tolerance, and rapid data access in both cloud and grid environments. Contemporary ...

Sanketh Balakrishna specializes in data replication, migration systems, and distributed infrastructure, improving scalability ...

While Apache Kafka is slowly introducing KRaft to simplify its approach to consistency, systems built on Raft show more promise for tomorrow’s hyper-gig workloads. Consensus is fundamental to ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

In an age where data has emerged as the new oil, organizations across industries are racing to refine how they collect, manage, and extract insights from it. At the core of this revolution lies cloud ...

As the name suggests, data replication involves keeping identical data sets in more than one database node. There are two types of data replication in a database management system: Full replication is ...

It's rare to see an enterprise that relies solely on centralized computing. But there are nevertheless still many organizations that do keep a tight grip on their internal data center and eschew any ...

Basic principles behind distributed systems (collections of independent components that appear to users as a single coherent system) and main paradigms used to organize them. This course satisfies the ...