Click on any article, webinar replay, or podcast on Edge Computing or IoT, and you’ll find a familiar theme. Edge Computing solves the latency problem. User-experience applications perform better at the Edge. And security is a two-edged sword. It will get better by not shipping sensitive data all around the network, but at the same time the billions upon billions of Edge Computing and IoT devices present a larger attack surface.
At CPLANE.ai we’ve written and spoken a lot about Edge Clouds and the role they play in addressing latency, application performance, and security. They help solve those and many other challenges.
Ultimately, data will be the overriding driver for Edge Clouds. But, data by itself is of little value. It needs to be processed.
“Everybody seems to now be enamored with who has the most data in their data lake. Who’s collected the most… And it really comes down not to how much data you’re collecting, but to what business insights you’re deriving from that data.”
Jim Fletcher, Momenta Partners – Edge Computing and Edge Clouds – Catching the Next Wave!
The predictions on the amount of data generated at the edge are amazing as they are varied. Terabytes here. Zettabytes there. Gigabytes per person per second. In the end, it doesn’t matter to which prediction you prescribe. What we all agree upon is that shipping all that data back to a central cloud is out of the question.
Why not let Edge Computing or IoT devices just handle the data? Well, that’s where all those data generation predictions become relevant. While getting smarter and more powerful, Edge Computing and IoT devices simply don’t have the horsepower to collect, process (filter, analyze, act upon) and store all that data.
Public and hybrid clouds are good at those things. But they’re too far away. And they’re kind of rigid. And quite costly.
So, let’s take the good things about those clouds and scale them down to fit at locations closer to the end users. In cell towers or lamp posts or in malls. Or in manufacturing facilities or oil refineries. Or maybe on offshore wind turbines. Or air traffic control centers. The possibilities are limitless.
Unfortunately, when you do that, you “invert” the traditional cloud orchestration model. In public clouds, thousands of very similar resources are orchestrated, over and over. In Edge Clouds, it’s about orchestrating very discrete resources across thousands of end-points.
Another aspect of Edge Cloud orchestration is the preservation of the DevOps tools with which we’ve all become comfortable. Significant productivity gains have been realized by using these tools in public and hybrid clouds. In addition to scaling along a different axis, Edge Cloud orchestration must also play well with the existing application and IT world.
At CPLANE our focus is on making Edge Clouds easy to orchestrate and seamlessly connect to other things. We do that through a Closed-Loop Orchestration model.
Think of the value we’ve derived from having elastic public cloud resources that can be quickly re-purposed with new applications and services. Once you’ve solved the Edge Cloud orchestration problem there’s a whole new world of possibilities at your fingertips. Give us a call and we’ll show you how.