In part one of this podcast on edge computing, we spoke about the problems that cloud databases cause. Despite its universal acclaim and celebration for nearly the last two decades, its traditional architecture makes it limited. Latency caused by having one singular data centre means that building applications takes longer than it should. A four second delay might not seem like very long, but four seconds for every interaction with your data centre can add up to hours lost over a week.
In part two of this podcast on edge computing, Macrometa's CEO Chetan Venkatesh and Senior Vice President of Sales David Cumberworth elaborate on the best ways to build geo-distributed applications using edge computing. Building applications and APIs on a serverless platform has many benefits, and can ultimately save your company time and resources.
Missed part one? Catch up on some of the key concerns about cloud computing right here.
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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