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Azure IoT Edge Pricing And Features: IoT Solution For Edge Computing

Azure IoT Edge

Microsoft Azure IoT Edge is a software that allows users to create Internet of Things (IoT) applications that use Edge Compute. The compute capacity that exists on the user’s on-premises network right at the edge of where the user’s network stops and interfaces with the Internet are known as the Edge Compute (aka the Edge, or IoT Edge) in the cloud realm. This could be on the user’s local network or even on a guest network with some level of isolation, such as a firewall or subnet configuration. Fog Computing is yet another moniker for the Edge. In this blog post, we will go over Azure IoT Edge Pricing and Features in detail.

At first, dealing with local computational power for IoT solutions on a local network, or at the Edge, appears to be the same as having servers on-premises. IoT Edge Compute, on the other hand, is a little more challenging because it combines Cloud Compute capabilities with on-premises location and computes. It allows its users to quickly manage and deploy IoT solutions that combine Azure cloud services with on-premises compute hardware and capabilities.

The IoT Edge Runtime is a component of Microsoft Azure IoT Edge that is deployed on a computer or gadget. These devices must have Docker installed so then they can be operated on either Windows or Linux operating systems. The Azure IoT Edge Runtime uses Docker to start out the IoT Edge Modules on the device after receiving instructions from Microsoft Azure IoT Hub.

Azure IoT Edge Pricing And Features

Organizations can do the following:

  • Break down data boundaries and aggregate operational data at scale in the Azure Cloud.
  • Cloud-native workloads, such as AI, Azure services, or custom business logic, can be deployed and managed easily and reliably on IoT devices.
  • Optimize cloud spending by allowing their devices to respond quickly to local changes and work effectively even when they are offline for long periods of time.
azure services benefits

The Pricing model of Azure IoT Edge

Azure IoT Edge pricing model is as follows:

The Azure IoT Edge runtime is open-sourced under the MIT license and is available for free.

IoT Hub

Standard tier

Edition TypePrice per unit (per month)The total amount of messages/day per unitMessage meter size
FreeFree8,0000.5 KB
S1$254,00,0004 KB
S2$25060,00,0004 KB
S3$2,50030,00,00,0004 KB

Azure IoT Hub is necessary for the seamless management of Azure IoT Edge-deployed devices and services. It is intended to work on any platform, including Windows and Linux. Azure IoT Edge is installed on an IoT device with enough memory and other resources, usually a gateway class device.

Edge ModulePrice (Per Month)
Azure Stream Analytics on IoT Edge$1/device/month
Custom Vision (preview)Free
Azure FunctionsFree
Azure SQL DatabaseBring your own license

Primary features of Azure IoT Edge:

Development can be made easier.

Users can make use of their current developer talents and write code in a language they are familiar with. C, C#, Java, Node.js, and Python are supported by IoT Edge code, which is uniform across the cloud and the edge.

Observe devices from afar at a large scale.

Under the Azure IoT Edge Pricing model, users get Azure Monitor integration, users can remotely access IoT Edge devices at scale. They can gain full insight into the development and wellbeing of their edge applications directly in the Azure portal by using built-in metrics and tailored visualizations. For perfect edge observability, pair on-demand device records with IoT Edge.

Minimize Costs associated with IoT solutions

After analytics, only a small percentage of the IoT edge data collected is useful. Analyze the data locally using Azure Stream Analytics or cloud-trained machine learning techniques, and only transfer what is required to the cloud for additional analysis. This lowers the cost of transferring all of the data to the cloud while preserving data quality.

Operate without a network or only with sporadic connections.

Even if a user’s edge devices are offline or have sporadic connectivity to the cloud, they can be operated securely and effectively. After their devices are reconnected, Azure IoT Edge device management seamlessly integrates their current state to facilitate smooth operation.

The value of AI and analytics in Azure IoT Edge for Organizations:

  • When real-time decision-making is required, and cloud computing would result in excessive delay, AI and Analytics could help in speeding up the process.
  • Availability enables the gadget to work even if there is no internet connection to the cloud.
  • When large volumes of data are created, bandwidth is reduced and filtering is performed on the device to ensure that all bandwidth is not consumed.
AI and IoT

How does Azure IoT provide cost-benefit in IoT Implementation?

Based on its features and feature sets, each Azure IoT service has its own pricing strategy. The straightforward methodology and transparency are what really sets the Azure IoT pricing apart.

Users can design and determine which data their device should record as well as upload to the cloud to process and analyze locally using Microsoft services such as Azure Stream Analytics as well as machine learning models. Users can cut bandwidth as well as other associated costs while maintaining the quality of the insights by regulating data transfer to the cloud.

Running Business Logics via Azure IoT Edge

IoT Edge is an Azure IoT devices service that is focused on meeting all of a user’s business logic needs.

This service enables users to relocate a portion of their data processing, such as analytics and the application of trained machine learning models, to edge Windows or Linux computers. C, C#, Python, JavaScript, and Java are among the most prominent IoT programming languages supported covered under the Azure IoT Edge Pricing model. It also enables remote provisioning and management of edge devices for greater convenience.

Users might want to migrate some workload to the edge if they’re keeping up with the latest IoT trends.

IoT Edge security for Enterprise Edge Deployments

  • Assures that the devices are running on the latest software and that only approved edge devices are able to connect with one another.
  • Helps deliver end-to-end threat protection and security posture assessment by integrating with Azure Defender for IoT.
  • Supports any hardware encryption component for robust, authenticated connections for secure computing.

End-To-End threat protection in Azure IoT Edge

Azure IoT Security

The Defender for IoT security micro-agent has a tiny footprint and no OS kernel requirements, so users may implement endpoint protection with minimal effect on their IoT devices.

Microsoft Defender for IoT is a comprehensive security solution for detecting IoT/OT devices, threats, and vulnerabilities. It allows users to secure their whole IoT/OT environment, whether they’re looking to protect current IoT/OT devices or incorporate security into future IoT breakthroughs.

EPCGroup Consulting Services

In today’s business world, the EPC Group is a leading company. EPC Group is a Microsoft Gold Certified Partner with skilled professionals who also offers the best consulting services. They also assist corporations and technology-driven businesses in developing and deploying Azure IoT Edge-enabled solutions for home entertainment, virtual assistants, anomaly identification, fleet management, and remote field operations, among other things.


IoT Edge is a voyage of self-discovery about a company that has the potential to create enormous value over time. IoT can assist SMBs in developing and scaling solutions that compete with large services, as well as assisting worldwide clients in improving their processes. By putting Azure IoT Edge on-premises, businesses can improve their performance by breaking down data silos and combining important data at scale.

Additionally, organizations can simply and safely deploy and manage cloud-native workloads on IoT devices, such as AI, Azure services, or custom business logic. Organizations can reduce cloud spending by enabling their devices to adapt faster to local changes and perform successfully even when they are disconnected for extended periods of time.

Errin OConnor

Errin OConnor

With over 25 years of experience in Information Technology and Management Consulting, Errin O’Connor has led hundreds of large-scale enterprise implementations from Business Intelligence, Power BI, Office 365, SharePoint, Exchange, IT Security, Azure and Hybrid Cloud efforts for over 165 Fortune 500 companies.

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