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. 175: The Power of Community with Allen Cordrey and Will Atwood
Ep. 174 Akeyless Security: Secrets Management with Sean Korten
Ep. 173 Becoming a Superhuman Communicator with David Neal
Ep. 172 Skyflow: Data Privacy & Security
Ep. 171 The Impact of Dataset imbalance on Machine Learning and AI.
Ep. 170 Building developer communities with Codu Founder Niall Maher
Ep. 169 Leading with Pride: The Impact of MongoDB's Queer Collective
Ep. 168 Data In Motion with Kenny Gorman, Head of Streaming at MongoDB
Ep. 167 Buddying up with AI - Evan Burbidge of GymBuddy - The MongoDB Mobile Makers Series
Ep. 166 Developer Pathway with Angelo Reale - The Life at MongoDB Series
Ep. 165 Unleashing the Power of MongoDB in VS Code: A Conversation with Shelby Carpenter
Ep. 164 Creating a Developer Vibe - A Developer Relations conversation with Richard Rodger, Voxgig CEO
Ep. 163 Revolutionizing Data Integration with Airbyte: A Conversation with Co-founder Michel Tricot
Ep. 162 Growing and Disrupting with Antonio Panella, Bleaum.io Co-founder and CEO
Ep. 161 Always Ready to Code: Unleashing Dev Productivity with Mike Brevoort, CPO of Gitpod
Ep. 160 Game Changers: How POGR is Transforming Data Collection and Player Experiences
Ep. 159 Gamifying Data: MongoDB at GDC - Powering a Custom Game with Real-Time Analytics
Ep. 158 Empowering Change: How Rain City Housing is Using Technology to Address Homelessness and Substance Addiction
Ep. 157 Accelerating Startup Growth with MongoDB for Startups
Ep. 156 12 Patterns for Tuning MongoDB Performance and Scalability
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