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 ...

Erasure coding has emerged as a pivotal technique in distributed storage systems, offering a robust approach to data resilience and cost-efficient storage. By partitioning data into fragments and ...

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 ...

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--InfluxData, creator of the leading time series platform InfluxDB, today announced Edge Data Replication, a new capability for centralized business insights in widely ...

Aerospike’s Cross-Datacenter Replication with Expressions makes it easy to route the right data at the right time across global applications to meet compliance mandates and reduce server, cloud, and ...

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 ...

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 ...

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Cohesity, a leader in AI-powered data security and management, today announced that according to IDC’s Semiannual Software Tracker, Data Replication and Protection ...