The network edge has been one of the most explosive cloud computing opportunities in recent years. As mobile contactless experiences become the norm and as businesses move ever-faster to digital platforms and services, edge computing is positioned as a faster, cheaper, and more reliable alternative for data processing and compute at scale.
While mobile devices continue to increase their hardware capabilities with built-in GPUs, custom chipsets, and more storage, even the most cutting-edge devices will suffer the same fundamental problem: each device serves as a single point of failure and, thus, cannot effectively serve as a persistent data storage layer. Said differently, wouldn’t it be nice to have the high-availability of the cloud but with the topological distance to your end users of the smartphone?
Mobile edge computing promises to precisely address this problem—bringing low latency compute to the edge of networks with the high-availability and scale of cloud computing. Through Verizon 5G Edge with AWS Wavelength, we saw the opportunity to explore how to take existing compute-intensive workflows and overlay a data persistence layer with MongoDB, utilizing the MongoDB Atlas management platform, to enable ultra-immersive experiences with personalized experience—reliant on existing database structures in the parent region with the seamlessness to extend to the network edge.
In this episode, we welcome Robbie Belson of Verizon to help us understand this fascinating landscape and its potential. If you're curious about how 5G, and Mobile Edge Computing and the impact it can have on your applications, listen in and check out an in-depth article on the topic on the MongoDB Developer Hub: https://www.mongodb.com/developer/how-to/real-time-data-architectures-with-mongodb-cloud-manager-and-verizon-5g-edge/
Ep. 37 Open Source Project O-FISH with Sheeri Cabral
Ep. 36 Behind the Scenes of the MongoDB Podcast
Ep. 35 Developer to Developer Advocate with Lauren Schaefer
Ep. 34 Performance Testing with David Daly
MongoDB Update - December 21 - MongoDB.Live Call for Speakers
Ep. 33 MongoDB Swift Driver with Kaitlin Mahar
Ep. 32 Lawrence Berkeley Labs Materials Project with Patrick Huck
Ep. 31 Built With MongoDB: Formbird
Ep. 30 MongoDB Connectors and Translators Deep Dive
MongoDB Update for November 30th, 2020
Ep. 29 Code Editor Landscape and MongoDB for VS Code
MongoDB Update for November 23, 2020
Ep. 28 Sizing MongoDB with Jay Runkel
Ep. 27 Built with MongoDB: BestSelf with David Gorski
Ep. 26 Automated Database Management Part 2 - Autoscalability
MongoDB Update for November 9, 2020
Ep. 25 Exploring Multi-cloud with Andrew Davidson
MongoDB Update for November 2, 2020
Ep. 24 From Developer to Solutions Architect with Tosin Ajayi
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