For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.

Edge computing is a distributed topology that brings computing and data storage closer to the edge and to data sources. But edge computing still lacks core infrastructure software to make it easy ...

In today’s data landscape, a distributed architecture is driven by the need for real-time insights, compliance, and the scalability provided by cloud computing, with organizations increasingly ...

The peer-to-peer distributed computing model ensures uninterrupted uptime and access to applications and data even in the event of partial system failure. Some vendor SLAs guarantee high availability ...

The workload is distributed among the servers and rebalanced as needed. This approach makes the most of the available resources and allows failover to servers that are still running if one node goes ...

You need architecture, data models, a flexible topology, and communication strategies to handle distributed rather than centralized computing.

Kevin Macwan is a Software Development Manager for Amazon, with 9+ years of experience in building distributed cloud platform services. Serverless architecture is no longer the future of computing ...