Edge Computing: Why Choose It?
Edge computing is an exciting new take on the network architecture, helping businesses break the limitations of traditional cloud-based networks. Although cloud computing still plays a major role in modern network architecture, the possibilities offered by the Internet of Things (IoT) devices, which are capable of processing the data collected from the source, are forcing businesses to re-strategize their tech infrastructure.
Companies are confused about how edge computing differs from traditional data processing solutions and how it could benefit their business. While the basic principles behind edge computing are straightforward, the benefits of this new network architecture approach are vast. Companies need to be aware of the benefits offered by edge computing while trying to break into the IoT market or delivering more content services.
What Is Edge Computing?
Edge computing is a distributed pattern that brings computation and data storage closer to the devices. Compared to cloud computing, edge computing relives the sufferings of real-time data from bandwidth and latency issues, resulting in better app performance.
Instead of running processes in the cloud, Edge Computing runs processes on local devices like a computer, IoT device, or Edge Server, reducing the communication distance between a client and server.
What Is Edge AI?
Edge AI means running AI algorithms locally on a hardware device using edge computing where the AI algorithms are based on the data collected on the device. The data processing is faster and gives you real-time information. Traditionally, AI processes are run on a cloud-based data center with deep learning models that require heavy computing capacity. Edge AI makes it easier and faster.
Why Choose Edge Computing?
Speed And Latency
Everyone loves data to be processed fast. The data which is relevant at the moment may become useless after a couple of seconds. Milliseconds matter, especially on a busy roadway. In many cases, the time for a round trip of data between the cloud platforms is long. Situations such as equipment failures and hazards require instantaneous analysis of data. Data analysis on the edge computing eliminates latency and results in faster response times. This makes your data more relevant and useful, letting you reduce the overall traffic and improving the performance of your applications.
Security
When your data is fed into the cloud analyzer through a single pipe, your business processes are highly vulnerable. A single DDoS attack can disrupt your entire business operations. Edge computing diminishes the impact on the organization as a whole. When lesser data is transferred over the internet, lesser the chance to be intercepted. When data is analyzed locally, it remains protected by the firewall of the on-premise systems. Thus, edge computing offers better security than cloud computing.
Cost-Saving
Since all data is not the same and does not have the same value, spending the same amount of money to manage it is not justifiable. Edge computing helps you in categorizing your data which needs to be transferred and which are not required to. By retaining data within your edge locations, the cost of transferring data is trimmed. Edge computing optimizes the flow of your data to reduce your operating costs. Edge computing also cuts down data redundancy, resulting in additional cost-saving.
Edge Computing At Magure
We, Magure, firmly believe that edge computing and edge AI is the future of IoT and data analysis, helping organizations grow. With a great understanding of the revolutionizing technology and its benefits, which includes reliability and scalability, we are helping our clients leverage edge computing to scale more heights. Want to know more about how edge computing will benefit your business? We are happy to help you.
We are a team of seasoned developers, and we constantly strive towards building apps that meet your requirements. For enquires reach out to us @ hello@maguresoftwares.com
