Building tomorrow’s applications on the centralised cloud is fraught with difficulties. In this EM360 podcast, we spoke to Macrometa CEO Chetan Venkatesh and SVP Sales David Cumberworth who argue that for robust, world-changing data driven applications to emerge, we must first solve the very thorny problems of making an edge native cloud that is real-time, geo-distributed, and physically situated no more than 50ms from every human, device, and event in the world. The conventional architectures of cloud systems cannot be extended, hacked, forked, or mutated to realize this new world. A new approach, an edge-native approach, is needed to unlock the promise and potential of data.
Enjoyed this podcast? Join us in part two to find out the best ways to build geo-distributed applications.
Macrometa provides a serverless edge computing platform over its global data network enabling enterprises to deploy and scale applications at the edge to improve user experience, engagement, and conversion.
Macrometa’s Global Data Network (GDN) is a combination of a globally distributed noSQL database, a low latency stream data processing engine, and functions as a service runtime, all integrated together as a simple, elastic, serverless cloud. The GDN enables developers to build rich data-driven cloud applications and APIs that run instantly across 175 points of presence or PoPs spread around the world. The mean roundtrip time (RTT) for a user on their phone or laptop to Macrometa’s edge cloud and back is less than 50 milliseconds globally - a staggering 50X-100X faster than what current cloud platforms like DynamoDB, MongoDB, or Firebase can deliver.
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