Technology doesn’t sleep, so we’re sure you’re already fully engaged in deploying the Internet of Things to move your operation ahead.
The cloud is a more cost-effective, elastic means of wrangling the big data you need to get there. With no more data infrastructure needed onsite, that’s a line item you can scratch off your budget. All the reams of data you’ve amassed and are computing and analyzing can be retained in the ethers.
But what’s the difference between cloud and edge computing? It’s not so much a question of being different as it is a question of getting the most from IoT by supporting what the cloud does for you. Let’s examine how cloud and edge computing take your IoT solution to the next level.
The cloud, while removing the cost of data management and storage infrastructure from your physical operation, is somewhat less responsive when you need to retrieve data to analyze it. That’s because it’s being stored in various unknown locations – that causes lag.
Which is, of course, not ideal.
Business IoT solutions need feedback which is in the moment and at hand. You don’t want that lag, especially in the manufacturing or supply chain spaces. You need rapid-fire, real time solutions that are there when you need them.
How Edge Computing Fixes Cloud Lag
Edge computing is the bridge between the cloud and your business IoT solutions. The cloud and IoT can get along, but the mediating influence of Edge computing is required to reduce latency and boost dependability.
As we’ve said, business IoT needs to be right on time and with Edge computing, data transmission is more reliable and faster. Edge computing has one location which never changes. That means a smoother path for IoT devices.
With Edge and business IoT, there are two possibilities. Cloud Edge involves extending the cloud to multiple designations. Device Edge deploys software which is customized to mimic cloud services already serving you on the hardware you have in place.
Evaluating Your Needs
But before you can make the most of your IoT, it’s crucial that you evaluate the type of data you’re analyzing, its complexity and immediacy of need. How much of it will be stored and how much of it will be required for immediate use? Who’s using the data?
Understanding your organization’s data needs is the starting point for choosing the right solution. It’s most often the case, though, that the cloud combined with Edge computing adds up to full service for IoT.
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