Pricing and features of Azure IoT Edge - IoT solution for edge computing (2023)

Microsoft Azure IoT Edge is software that allows users to build Internet of Things (IoT) applications that use edge compute. The computing power that resides on the user's local network right at the edge, where the user's network ends and connects to the internet, is referred to as Edge Compute (also known as Edge or IoT Edge) in the cloud domain. This can be on the user's local network or even on a guest network with some isolation like a firewall or subnet configuration. Fog computing is another nickname for Edge. In this blog post, we will cover Azure IoT Edge pricing and features in detail.

At first glance, dealing with local computing power for IoT solutions on a local network or at the edge seems the same as having servers on-premises. internet of thingsEdge-Computing, on the other hand, is a bit more sophisticated as it combines cloud computing capabilities with on-premises and on-premises computing. It enables its users to quickly manage and deploy IoT solutions that combine Azure cloud services with on-premises computing hardware and resources.

The IoT Edge runtime is a Microsoft Azure IoT Edge component deployed on a computer or gadget. These devices must have Docker installed to run on Windows or Linux operating systems. the azureIoT Edge runtimeuses Docker to launch IoT Edge modules on the device after receiving instructions from Microsoft Azure IoT Hub.

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 easily and reliably deployed and managed on IoT devices.
  • Optimize cloud spend by enabling your devices to respond quickly to local changes and function effectively even when offline for long periods.
Pricing and features of Azure IoT Edge - IoT solution for edge computing (1)

The Azure IoT Edge pricing model

The pricing model for Azure IoT Edge is as follows:

(Video) Azure IoT Edge

The Azure IoT Edge runtime is open source under the MIT license and freely available.


Standard level

edition typePrice per unit (per month)The total number of messages/day per unitMessage counter size
BuchBuch8.0000,5 KB
S1$254.00.0004 KB
S2250 $60.00.0004 KB
S32.500 $ KB

Azure IoT Hub is required for ongoing management of devices and services provided by Azure IoT Edge. It is said to work on any platform including Windows and Linux. Azure IoT Edge is installed on an IoT device with sufficient memory and other resources, typically a gateway-class device.

Edge-ModulPrice per month)
AzurblauStream-Analyticsno IoT edge$1/device/month
Custom View (Preview)Buch
Azure functionsBuch
Azure SQL-DatenbankBring your own license

Azure IoT Edge key features:

development can be facilitated.

Users can leverage their current developer talents and write code in a language they are familiar with. C, C#, Java, Node.js, and Python support IoT Edge code that is consistent across cloud and edge.

(Video) Azure IoT Edge: architecture, demo on Raspberry Pi, pricing

Monitor devices remotely on a grand scale.

In the Azure IoT Edge pricing model, users getAzure Monitor-Integrationallows users to remotely access IoT Edge devices at scale. They can gain full insights into the development and health of their edge applications using built-in metrics and custom visualizations right in the Azure portal. Pair on-demand device logs with IoT Edge for seamless edge observation.

Minimize the costs associated with IoT solutions

After analysis, only a small percentage of the collected IoT Edge data is useful. Analyze data locally with Azure Stream Analytics or machine learning techniques trained in the cloud, and push only what is needed for further analysis to the cloud. This reduces the cost of transferring all data to the cloud while maintaining data quality.

Work without a network or with only sporadic connections.

Even when a user's edge devices are offline or have sporadic cloud connectivity, they can operate safely and effectively. Once your devices are reconnected, Azure IoT Edge device management seamlessly integrates their current state to ensure smooth operations.

(Video) An Overview Of Azure IoT Edge (2021) Microsoft Azure IoT Deep Dive

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

  • IfDecision making in real timeIf it were necessary and cloud computing introduced excessive delay, AI and analytics could help speed up the process.
  • Availability allows the gadget to work even when there is no internet connection to the cloud.
  • When large amounts of data are created, the bandwidth is reduced and filtering is performed on the device to ensure not all of the bandwidth is consumed.
Pricing and features of Azure IoT Edge - IoT solution for edge computing (2)

How does Azure IoT provide a cost-effective 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 set Azure IoT pricing apart.

Users can design and determine what data their device should record and upload it to the cloud for local processing and analysis using Microsoft services such asAzure Flow Analyticsand machine learning models. Users can reduce bandwidth and other associated costs while maintaining the quality of insights by regulating the transfer of data to the cloud.

Run business logic from Azure IoT Edge

IoT Edge is an Azure IoT device service focused on serving all of a user's business logic needs.

This service allows users to omit part of their data processing, e.g. B. Analyzing and applying trained machine learning models to high-end Windows or Linux computers. C, C#, Python, JavaScript and Java are among the best knownSupported IoT programming languagescovered by the Azure IoT Edge pricing model. It also enables remote provisioning and management of edge devices for added convenience.

Users may want to move some of the workload to the edge as they keep up with the latest IoT trends.

IoT Edge security for Enterprise Edge deployments

  • Ensures devices are running the latest software and only approved Edge devices can connect to each other.
  • Helps provide end-to-end threat protection and security posture assessment through integrationAzure Defender for IoT.
  • Supports any hardware encryption component for strong, authenticated connections for secure computing.

End-to-end threat protection on Azure IoT Edge

Pricing and features of Azure IoT Edge - IoT solution for edge computing (3)
(Video) Getting Started with Azure IoT Edge

The Defender for IoT micro security agent has a small footprint and requires no operating system kernel requirements, allowing users to implement endpoint protection with minimal impact on their IoT devices.

Microsoft Defender for IoT is a comprehensive security solution for detecting IoT/OT devices, threats and vulnerabilities. It enables users to secure their entire IoT/OT environment, whether they want to secure current IoT/OT devices or integrate security into future IoT innovations.

EPCGroup Consulting Services

In today's business world, the EPC Group is a leader.The EPC Group is a Microsoft Gold Certified Partnerwith qualified professionals who also offer the best consulting services. You will support enterprises and technology-enabled companies in the development and deployment of Azure IoT Edge-enabled solutions for home entertainment, virtual assistants, anomaly detection, fleet management and remote field service, among other things.


IoT Edge is a journey of self-discovery about a company that has the potential to create tremendous value over time. IoT can help small and medium-sized businesses build and scale solutions that compete with large services and help customers around the world improve their processes. By deploying Azure IoT Edge on-premises, organizations can improve performance by breaking down data silos and combining critical data at scale.

Additionally, organizations can easily and securely deploy and manage cloud-native workloads on IoT devices such as AI, Azure services, or custom business logic. Businesses can reduce cloud spend by enabling their devices to adapt to local changes faster and function successfully even when disconnected for long periods of time.

Related posts:

  1. Azure API for FHIR: Healthcare APIs
  2. Microsoft Azure Cache for Redis: In-memory data store
  3. Microsoft Azure Database for PostgreSQL: Relational database service
(Video) 05.Work with Azure IoT Edge - Azure IoT Series


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4. Expanding Azure IoT Central Portfolio with IoT Edge
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