Edge Computing

An alternative to cloud based storage is edge computing, which allows IoT apps to operate regardless of the Internet connection and work as a standalone network node. 

The idea behind it is that the collected data from an IoT application are sent to the local IoT device or the edge of the network, where it is sorted and filtered and then is partly forwarded to the cloud, reducing, therefore, traffic to the network.

Edge ComputingSoftengi


The most substantial advantages of Edge Computing


Applying edge computing allows to scale IoT network on demand, without reference to available storage, so users can scale their data and computing needs more efficiently.


As IoT edge computing processes collected data locally, the processed information does not need to be transferred as far as it uses cloud architecture. The result is higher speed for end users.


IoT edge computing devices and edge data centers positioned closer to end users make it difficult for any single disruption to take down the network, which enhances IoT app reliability.

Some additional perks of Edge Computing with us:

Enhanced data security

Another advantage of decentralizing IoT with edge computing is secured data. Placing valuable data on IoT edge devices can minimize data loss, making them prone to distributed denial of service (DDoS) attacks and power rages. In addition, it assists in meeting the General Data Protection Regulation (GDPR) compliance: the less sensitive information is sent through your network and stored in your cloud, the better.

Edge Computing components

Reduced operational costs 

Analyzing data close to where it is collected offers huge benefits in terms of cost. When storing and processing data «at the edge», there is no need in the abundance of cloud storage. Additionally, unnecessary information can be identified, so that only relevant data are backed up. As a result, operational costs are significantly decreased.

Real-Time Data Analysis

The data is usually sent to one central location so that it can be analyzed to take appropriate action. However, edge computing use cases allow data analysis to be performed near the area where it is generated. With edge technologies, data can be stored close to its point of origin, which is optimal for near real-time decision making. It allows taking independent decisions without any oversight of important information. We help to develop new, efficient ways of data analysis with edge computing. Thus, we can significantly improve the decision-making processes based on data for our clients. 

Smart Manufacturing

Industrial companies can upgrade their production halls with the latest technology. By analyzing data in virtually real-time, it helps increase productivity and profitability. Companies can help avoid line outages by detecting problems, while edge computing services can analyze the collected data. With the help of this technology, manufacturing becomes more manageable. It also helps to use the full potential and capacity of manufacturing processes.

With the increase in data generation, the need for edge computing will also grow. We understand how to use all the benefits and opportunities of IoT for your business.


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