What is Scaled Agile Framework | Complete Guide to SAFe


Scaled Agile Framework – Table of Content

Introduction to the Scaled Agile Framework (SAFe)

The Scaled Agile Framework (SAFe) is part of the agile integration method. This provides a freely proven knowledge base and also offers integrated business patterns for large-scale enterprises. It is modular and higher scalable, allows each business organization to insert in a way that offers higher customer satisfaction, better business results, and engaged team members.

Scaled Agile framework adds the proper alignment, business collaboration, and proper time product delivery to the Agile project teams. This framework also collaborates with software solutions and complex cyber network –physical systems, this collaboration requires a large number of employees to create, design, and maintain. The main moto of the Scaled Agile framework is to solve customers’ most challenging and complex scaling issues. As I said above Agile framework support for the knowledge base, so it contains three major knowledge base bodies such as Agile development knowledge base, Agile lean scalable product developments, and flow, and Systems-level thinking.

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Overview of Scaled Agile Framework (SAFe)

The scaled Agile framework is mainly developed to solve the customers’ complex and challenging scaling issues in large business enterprises. The below figures explains the architecture of the Scaled Agile Framework and its nature of work.

  • This level 4.0 big picture explains the Visual overview of the scaled agile framework. Each icon in the big picture provides navigation and guidance to the customers.
  • The big picture of the Scaled framework has two views.
  • The default three-level view: this provides the solutions to the agile team in a modest way.
  • The four-level view: this view helps the customers to develop building large scale solutions that involve a large number of team members to maintain, construct, and develop.

There are four organizations levels as well as foundation levels;

Team level: the scaled agile framework is based on Agile team members; they are responsible for software-defined, product building, and software testing from their agile backlogs. This agile team can also work on Scrum or Kanban iteration methods, checking of quality practices, and to deliver better product outcome.

Program level: the scaled agile framework teams are worked based on a virtual program called “Agile Release Train”. Each Agile Release Train is a long-lived and cross-functional self-organizing team of 10 to 20 agile teams, business stakeholders to plan, design, commit, adapt, and deliver the solution.

Value stream level: this value stream level provides the development of larger business and complex product solutions. This type of stream level needs multiple and synchronized agile release teams as well as a stronger focus on intent product and context of solutions.

Portfolio level: This Agile release team involves in organizing and funding of value streams. The portfolio level provides the software development funding through Lean – agile cost, provides supportive governance and value coordination.

Foundation layer: this foundation layer level holds additional elements that support designing and scaling. The elements may include are lean-agile leaders, agile communities, team core values, lean-agile principles that guide scaled agile framework, and an implementations strategy.

Foundation layer explanation

The Foundation layer is one of the very important knowledge base layers of the Scaled Agile Framework (SAFe). This layer is considered when there is a critical, necessary, and supportive of software product delivery. This Foundation layer includes the following:

Lean-Agile leaders: this is considered to be responsible for the success of any business enterprises and also users can modify the product while they are working with management. In the end, the scaled agile framework has new leadership executed by lean-agile leaders.

Communities of practices:  In this section, value streams of lean approach will be moved to pivot the functional organizations to produce a more flexible and adaptive business value approach. The scaled agile framework also helps the communities of the project, the internal group of team members and other project experts will collaborate to work together to produce a valuable outcome.

Core Values: there are four major core values of the scaled agile framework that make it effective and valuable. The four core values included are;

  • Alignments
  • Built-in quality
  • Transparency
  • Finally program executions.

Lean-agile mindset: scaled agile framework (SAFe) leaders are lifelong teachers and learners who are well known for lean and agile principles, practices, and core values. To make the framework perform in a better way, all the lean leaders should undergo training and teach them properly. To become a perfect leader or teacher they should have different ways of thinking, building, and operating.

Lean-agile principles: Scaled agile framework should work on nine fundamental principles. I would like to name them,

  • Take an eye on an economic view
  • Apply effective system thinking
  • Assume preserve options and variability
  • Build iteration and incremental in a fast, integrated leaning agile cycles
  • Objectives based on the milestones of the working system
  • Proper visualization and limit of WIP, reduces the team batch size and manages the project queue lengths
  • Applying of cadence synchronizes the cross-domain project planning
  • Decentralization of team decision-making
  • Unlocking of the intrinsic motivations and knowledge workers.

Implementing 1-2-3 levels: based on the scaled agile frameworks implementations, “implementing scaled agile frameworks 1-2-3” patterns for successful iterations of frameworks. The train implementers and lean-agile change agents (SPCs). The consultants can then train all the team executives, managers, and team leaders.

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Team level

The scaled agile frameworks, team level provides the organization, artifact, team role, and process model for the implementation activities in agile teams.

All scaled agile framework teams are the part of agile release train (ART). The scaled agile team is responsible for project defining, designing, and testing the use case stories from their agile team backlog in fixed-length iterations, iteration cadence, and synchronization to assign with other project teams, so this will help to iterate the entire system.

Both team Scrum and team Kanban, mostly work on built-in quality practices to deliver the project outcome every two weeks. The project demo creates a “pull event “for all the team members to make them work together, designing the integration part, and testing the model phase during the software development lifecycle.

Each team should consist of 5-9 members and train them properly to build a valuable product in each iteration. The team members may be Scrum master, product owner, stakeholders, project contributors, and specialist, they involve in deliver the valuable product.

Program Level

The program level is now considered as the heart of a Scaled agile framework. The following diagram explains the work nature of the program level.

Scaled Agile framework’s program level appears in the “Agile Release train”. Program level team members’ roles and activities to be based on only the incremental and iteration value of the product.

The main fundamental functionalities of Agile release train are the formation of span functional boundaries, elimination of unnecessary steps taken, and acceleration of product delivery values through the implementation of Scaled Lean-agile practices and SAFe’s principles.

It is called as a program level in agile release train (ART) because this level of scaled agile framework generally long-lived and offers self-organization, programming structure, and mission than any existing “program level of ART” which has a piece of information like start and end date of the project resource planning. It is known for it’s a long-lived, knowledge base, and self-organizing nature of the Agile release train.

Agile release train composed of 5-12 agile team members, they will be responsible for delivering the fully tested agile product, working on iteration, and system-level solutions. Many agile release trains are virtual, spanning, and geographic boundaries.

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The Spanning palette

The spanning palette in the scaled agile frameworks is nothing but special icons located at the conjunction of both program-level and virtual stream levels on the SAFe big picture.

Each of spanning palette in Agile release trains describes the “vision”, “metrics’”, “project milestone”, “Release date”, “Developments”, “Team members”, “Release managements”, “shared software devices”, and “user experience test cases”. These elements also “span” the SAFe’s levels as they are more often used in other levels.

Value stream level

Value stream level is an optional level in Scaled agile frameworks, as they are widely used when the project type is big and largely independent. So this type of level needs thousands of team members and expensive too. Agile release train will operate for three-levels when you have decided to implement a Value stream level.

This type of SAFe level is commonly used in building large scale applications, multiple software, and virtual-cyber systems. Building value stream level applications need additional constructs, team coordination, and software articraft.

The value stream level is organized and works for program increments like program level. This type of level is helpful for cadence and multiple synchronizations of Agile release trains and suppliers. The value stream level roles that may be included are solution management, solution engineering, system architect, and value level stream, engineers.

Portfolio level

The portfolio level in the scaled agile framework is considered as the highest level and consists of value stream level, people, and processes required to offer funding, financial details, and governance for the products, software services, and product solutions to fulfill the high-level business strategy.

The following diagram explains the nature of the Portfolio level of Scaled agile frameworks:

This is the basic construction for organizing the Lean-level Agile enterprise to flow of valuable data through one or more value level streams. The portfolio level incorporates the elements to provide the basic details on funding and governance related to the project. One interesting thing about the portfolio level is that it will return the necessary budgets to meet the top-level strategic principles.

The portfolio level in SAFe has bidirectional connections to the enterprise’s business. One direction of the portfolio guides the larger, complex, and challenging business objectives. The other direction of the portfolio describes the constant value flow to the business enterprises.

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The primary elements of Portfolio level are Value streams which help in funding for the business people and other available resources. Each portfolio value stream elements are long-lives business developments, system definitions, product delivery, and deployments. Whereas program portfolio describes the stakeholders who are responsible to deliver the final product outcomes and also provide financial strength.

Conclusion

Scaled Agile frameworks are considered as one of the major parts of the Agile software development lifecycle. This Scaled Agile framework is most commonly used in large-scale and complex product developments due to itsunique  knowledge base and Incremental features. This article may help a few of you learn the Agile methodologies in-depth and also for Agile community forums.

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2. Agile VS Scrum



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Azure IoT Hub – Table of Content

What is Azure IoT Hub?

Microsoft’s Azure IoT Hub is a cloud-hosted manageable IoT service that acts as a central hub for messages. It provides bi-directional communication between the millions of devices it manages and the IoT apps. Further, it enables completely scalable IoT solutions, and virtually, we can connect multiple devices with Azure IoT Hub. It supports various messaging patterns like telemetry data from Device-to-cloud, file uploading from the device, and request-to-reply methods to control devices through the cloud. Moreover, through hybrid communication, it can connect from cloud to device and device to cloud. This feature makes IoT Hub more popular in the market. 

Azure IOT HUB

Azure IoT Hub helps to track and monitor multiple events like development, failurr, and connecting devices. It supports various IoT workloads for the users by scaling to millions of devices concurrently. Also, it rises to millions of events quickly, enhancing productivity. It enables the building of completely scalable IoT solutions such as tracking and monitoring valuable healthcare assets, managing various manufacturing equipment, etc. Further, Azure IoT Hub also offers a secure communication channel with enhanced security. However, Azure IoT Hub provides reliable and safe solutions to various businesses by connecting millions of devices and applications. 

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Azure IoT Hub offers

  • Device library professionals are available for most commonly used systems and languages, allowing for simple device connectivity.
  • Stable communication with various device-to-cloud and cloud-to-device hyper-scale communication channels.
  • Processing of per-device state data as well as meta-data that can be queried.

IoT Hub device management:

The needs and priorities of IoT operators vary markedly across industries, from transportation to manufactured goods to agriculture to utilities. There is also a wide range of different devices used by IoT operators. IoT Hub can provide developers with the abilities, patterns, and code libraries they need to create management tools which can manage large amounts of data.

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Device configuration and control

Devices that are connected to the IoT Hub can be handled using a variety of built-in features. That is to say-

  • All of your devices’ metadata and state data can be saved, synchronized, and queried.
  • Device states can be set per-device or in groups based on common power devices.
  • Using message routing integration, a device’s state change can be instantly reacted to.

The LifeCycle of Devices with IOT Hub:

lifecycle of devices with IOT Hub

Plan Operators could really generate a device metadata scheme which really aims to facilitate bulk risk management with ease.

Provision

  • New devices can indeed be safely added to IoT Hub, and operators could indeed soon realize about mobile applications. Device identifications and credentials are created using the IoT Hub identity registry.
  • Configure Data management activities, including such configuration changes and software installations, can be performed in bulk or directly while maintaining system security.
  • Monitor Operators could be quickly notified to any problems that arise, while also monitoring the device collection’s wellbeing and the position of every continuing operation.
  • Devices must be substituted, retired, or dismantled. To withdraw device identifications and qualifications, the IoT Hub identity registry is used.

Plan

It enables operators with a plan to build a device metadata scheme that allows them to easily and accurately perform bulk management activities. You can use the device twin to save device metadata in the style of properties and tags. 

Configure

Azure IoT Hub allows device management activities such as configuration changes in bulk and firmware updates. You can do these operations either in bulk or by direct methods. 

Monitor

Using IoT Hub, we can alert operators on the occurrence of issues by monitoring device collection health. Also, we can check the status of multiple ongoing activities. Here, we can apply a device twin that enables devices to report the conditions of real-time operations and update operations status.

Retire

At the end of the lifetime of service, the devices need replacement or deactivation after a failure or cycle update. Here, we can use the IoT Hub identity registry to rescind the credentials and identities of devices securely.

Device Management Operators:

  • IoT Hub contains a range of device management patterns, such as,
  • Factory Reset Reboot
  • Firmware update for configuration
  • Progress and status updates
  • These patterns can be tailored to your specific situation. Alternatively, these templates can be used to create new patterns.

Connecting Devices:

By using Azure IoT device SDK, you can create applications that run on your devices and interact with IoT Hub. Platforms supported include Windows, Linux distributions, and real-time operating systems. Currently supported languages includes C,C#,Java ,Python, and Node.js.IoT Hub is a key component of the solution accelerators and can be used to address IoT challenges in the implementation such as:

  • Device connectivity and management at a high volume.
  • Ingestion of large amounts of telemetry.
  • Device command and control
  • Enforcing device security.

Integrating with Other Devices:

IoT Hub can be combined with other Azure services to create complete, end-to-end solutions. As an example, use:

  • Azure Event Grid enables your company to respond quickly to critical events while remaining reliable, scalable, and secure.
  • To streamline business operations, use Azure Logic Apps.
  • Azure Machine Learning can be used to incorporate machine learning and AI models into your solution.
  • Using Azure Stream Analytics, you can perform real-time analytic calculations on information broadcasting from one’s devices.

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Messaging Patterns:

Azure IoT Hub includes a variety of messaging patterns, such as,

  • Telemetry from a device to the cloud
  • Device-based file upload
  • Methods of request-response that allow devices to be monitored from the cloud.

Related Article: Future Scope of IoT

Messaging routing and event grid

Streaming data from your connected devices is possible thanks to IoT Hub message routing and IoT Hub integration with Event Grid. There are, however, distinctions.Message routing lets customers to route device-to-cloud messages to the a variety of endorsed service endpoints, including Event Hubs and Azure Storage containers, whereas IoT Hub assimilation with Event Grid is a highly scalable routing service that can be increased in to the third-party enterprise applications.

Routing the device data:

The message routing capabilities are built into Azure IoT Hub. This enables you to automate message fan-out based on rules. Message routing allows you to direct at which your hub sends telemetry from your devices. Routing messages to seamless access is free of charge.

Building end to end solutions:

Incorporating IoT Hub with other Azure services allows for the creation of end-to-end solutions. As an example,

  • Azure Logic Apps can be used to optimize business operations.
  • Using Azure Stream Analytics, you can perform real-time analytic computations on data from your devices.Azure Machine Learning could be used to add AI models and machine learning.
  • With Azure Event Grid, you can react promptly to important incidents.

Azure IoT Hub and Azure Event Hub

Azure IoT Hub and Azure Event Hub both are cloud services capable of ingesting, processing, and storing large amounts of data. They were, however, created for distinct purposes.Event Hub was created for big data streaming, whereas IoT Hub was created to connect IoT devices at scale to the Azure Cloud. As a result, which one you use will be determined by the needs of your company.

Security:

Businesses face new security, confidentiality, and compliance challenges as a result of the Internet of Things. Security for IoT solutions entails securely provisioning devices, step is implementation among devices and the cloud, and ensure security data security in the cloud all through handling and preparation.

Azure-IoT-Hub-2

IoT Hub enables information to be processed over secure channels of communication. So every device securely connects to a hub and can be handled securely. You could indeed gain access on a per-device basis, and devices are made available to the appropriate hub when they first boot up.

There are also a variety of authentication methods available depending on mobile applications, such as SAS SAS token-based authentication, individual X.509 certificate authentication for secure, standards-based authentication, and X.509 CA authentication.

HA and disaster recovery

The goals for uptime differ from one company to the next. Azure IoT Hub provides three main High Availability (HA) and Disaster Recovery (DR) features, which are as follows:

  • Intra-region HA: The IoT Hub provider implements layoffs with almost all layers of the service to provide intra-region HA. The SLA published by the IoT Hub service is achieved through the use of these redundancies, which are made available to developers automatically. However, while using cloud computing, transient faults must be anticipated; thus, appropriate retry regulations must be built into components that can be interacted with the cloud services.
  • DR across borders
  • Issues may occur when a datacenter experiences prolonged outages or other physical inability. It is rare, but intra-region HA capability will be unable to assist in these circumstances.IoT Hub, on the other hand, has a range of potential solutions for regaining from elongated outages or physical failures. In these cases, a consumer can choose between a Microsoft-initiated failover and a manual failover.

Obtaining cross-region HA

If the RTOs supplied either by the Microsoft initiated failover or manual failover are insufficient to meet your throughput goals, you can incorporate a per-device automatic cross-region failover component. The IoT solution in this framework operates in two separate data centers, one primary and one secondary.If the primary region experiences an outage or a lost opportunity of network connectivity, the technologies could use the secondary location.

Selecting the Best IoT Hub Tier

Azure IoT hub is divided into two tiers: basic and standard. If data is to be collected from devices and analyzed centrally, the basic tier, which is unidirectional from devices to the cloud, is preferable.However, when you require bi-directional interaction, such as the ability to control connected devices, the standard tier is preferable. The security and authentication features are the same in both tiers.

Azure IoT Hub Benefits:

There are multiple benefits of using Azure IoT Hub in real-time.:

  • Azure IoT offers different shortcuts for fast prototyping and deployment of code. It allows less coding to develop app templates, SDKs, plug-and-play device connections, etc. However, Microsoft has developed the best and simple IoT platform for multiple users.
  • Each Azure IoT service provides perks such as pre-built app templates with desired use cases within Azure IoT Central. In this regard, Azure Maps is the best example that enriches your IoT App with geospatial data. 
  • Each service in this platform has a flexible pricing model based on its particular feature sets. Its simple approach and transparency help to separate the Azure IoT Hub. 
  • Azure IoT has a strong support of partner networks similar to AWS. These include manufacturers of IoT hardware and solution developers. 
  • Moreover, the major benefit of Azure IoT Hub is its strongest security feature. Further, Microsoft invests billions of dollars in Cybersecurity solutions every year. 

What are the Microsoft Azure IoT Hub features?

Scaling your solution

  • Azure IoT Hub helps scale concurrently connected millions of devices and events/second. 
  • It supports multiple IoT workloads easily. Thus, it gives you a highly scalable solution to ease your workload.

Securing your communications

Azure IoT Hub offers a safe and secure connectivity channel for smart devices to send and receive data. 

  • It provides complete control over device access and connections with each device. 
  • Each device authentication allows them to connect with IoT Hub securely, and they are securely managed. 
  • Further, it supplies devices and appliances to the right IoT Hub upon booting the device. 

Routing device data

IoT Hub offers an in-built message routing functionality with the flexibility to set up an automatic rule-based message expansion.

  • At first, use message routing to manage where your hub sends device telemetry. 
  • There will be no extra cost for routing messages to various endpoints. 
  • Further, no-code routing protocols will take the place of unique message dispatcher codes. 

Integrating with other services

Azure IoT Hub provides integration with other Azure services to develop full-fledged solutions. The following integrations it supports:-

  • Azure Event Grid integration helps your business respond securely and reliably to important events. 
  • Moreover, Azure Logic App integration will help automate various business processes
  • Azure Stream Analytics is useful for real-time analysis of data streams in your device. 
  • Further, the Azure Machine Learning combination will add ML and AI models to the solutions. 

Configuring and controlling your devices

Using an order of various in-built functions, you can easily control your devices linked with IoT Hub. 

  • At first, it needs storing, syncing, and inquiring about device metadata and the status of all the devices.
  • Next, device condition setting, whether per-device or based on common features of devices. 
  • Finally, through message routing combination, it automatically responds to a device-reported condition change. 

Connect your devices

To create applications that run on your devices and interact with IoT Hub through Azure IoT device SDK libraries. It supports various languages, such as:-

  • C, C#, Python, Java, Node.js, etc.

Also, there are some protocols that IoT Hub and the device SDKs support to link devices. These include:-

  • HTTPS
  • MQTT
  • AMQP
  • MQTT over WebSockets
  • AMQP over WebSockets

Organizing bidirectional communication with millions of IoT devices

  • Utilize device-to-cloud measuring data to know the condition of your devices and define message routes to other Azure services without putting down the code. 
  • Further, in the cloud-to-device messages, send commands and notifications to the linked devices and track message delivery with the approval of receipts.

Developing and running hybrid IoT apps throughout data centers

  • Azure Stack Hub is an extension of Azure helpful to offer a path to run apps in an on-premises ecosystem. And it delivers Azure services within your data centers. 
  • Additionally, partners & customers will have the flexibility to create hybrid IoT apps that run wholly or partially on-premises. It is possible with Azure IoT Hub’s availability on Azure Stack Hub.

Create An Azure IoT Hub

Developing an Azure IoT Hub needs to follow the below steps.

  1. Creating Azure IoT Hub
  • First, you must register and sign in to the Azure portal using credentials.
  • Then, you have to select the “Create a Resource” tab. After thiss, you need to enter “IoT Hub” within the search marketplace field.
  • Then, choose “IoT Hub” from the search outcomes and select the “Create” option.

Now, navigate to the Basics tab and complete the fields given:

  • Subscription: Choose the appropriate subscription to use within the IoT Hub.
  • Resource Group: Select the required “Resource Group.” Although, to build a new group, select “Create New” and enter the name you wish to use for it. 
  • Region: Select the exact region/place for the IoT Hub location.
  • IoT Hub Name: Enter a unique/uncommon Azure IoT Hub name.

Creating IOT HUB

Then select “Next: Networking>” to continue Hub creation.

  • Here, you can choose the endpoints to connect to your IoT Hub. Further, you can select the default setting as Public EndPoint & Private EndPoint. 

Next Networking

Now, go to Next: Management> to continue the process of IoT Hub creation. 

Here, you will be given the option to accept the default settings. 

Then, to move to the next screen, you need to select the “Next: Tags” choice. 

  • Here, Tags include name/value pairs where you can assign the same tag to different resources and their groups to divide them and combine billing.

IOT HUB Tags

After completing the above, choose the “Next: Review + Create” tab to review/check your choices. Then go to the “Create” option to build your new IoT Hub.

  1. Changing/Updating the IoT Hub

Here, you can modify the settings of your current IoT Hub that you built from the Azure IoT Hub pane. Below are the various properties that you8 can set for the IoT Hub.:-

  • Scale & Pricing: This property will be helpful to migrate to a new tier or to set the number of IoT Hub Units. 
  • IP Filter: This property is useful to set the range of IP addresses the Azure IoT Hub can accept or reject. 
  • Properties: It consists of various properties like resource ID, group, resource location, etc., available for copying and use anywhere else.

Shared Access Policies

Go to Settings and click on the “Shared Access Policies” option to view or change the list of various Shared Access Policies. Further, these policies mention the necessary consent to connect the devices and services with the IoT Hub. 

Click the button Add and you will see a window “Add Shared Access Policies” opens. Here, it allows you to insert the new policy name and the permissions list that you wish to link with this policy. The permissions include the following:-

  • Registry Read and Write Policy
  • Service Connect Policy
  • Device Connect Policy

After this, click on the “Create” tab to add this new policy to the current list of guidelines.

  1. Registration of New Devices to the IoT Hub

To register a new device-

  • Go to the IoT Hub navigation menu and open IoT devices.
  • Then insert a name for the new device within Create Device. After giving the device name, choose the “Save” option to create the device identity of the Azure IoT Hub.
  • Finally, go to the IoT Devices pane after device creation and open the device from the list. Then to connect with the IoT Hub, you need to copy the Primary Connection String. 
  1. Message Routing for Azure IoT Hub
  • For this, click on the “Message Routing” option within the “Messaging” section to see the Message Routing pane. 
  • Then you have to mention the custom endpoints and routes for the IoT Hub.  
  • Further, Message Routing is useful to manage how data is sent to your endpoints from the IoT devices. 
  • Here, the first and foremost step is to add a new route. Then it allows you to add an existing endpoint to the Route or build a new one of the various types that supports it—for example, Blob storage.

Routes

  • You will find “Routes” as the first tab on the Message Routing Pane. Then click the +Add, to add a new route.
  • Then insert a Name for the Route.
  • After that, you will see Endpoint, from which you will have a dropdown list, or you can add a new one. To add it, click +Add Next to the Endpoint list and choose Blob Storage.
  • Then, after adding the Endpoint name, click on “Pick a Container” to select the Storage Account and the container.
  • For the “Data Source,” choose the Device Telemetry Messages. 
  • Further, you need to add a Routing Query. In this instance, the messages with an Application property with the name “Level” equal to “Critical” are directed to the storage account.  
  • Finally, you have to save the Routing file. Then you can go back to the Message Routing Pane and see a new “Routing Rule” appear.

Routes

Custom Endpoints 

Go to the “Custom Endpoints” option, where many are already built. 

  • Here, you can easily build new or remove the existing Endpoints. 
  • Moreover, you can only specify up to 10 Custom Endpoints for the Azure IoT Hub.
  1. Finding a particular IoT Hub

First Step:-

  • Go to the homepage in Microsoft Azure and choose the IoT Hub from the given list.
  • You click on the “Resource Groups” if you already know the resource group to which the Azure IoT Hub belongs.
  • Now select the option- “Resource Group,” and the drop down list will display.
  • Then the “Resource Group” screen presents all that group’s resources along with the Azure IoT Hubs. 
  • After that, you choose your IoT Hub. 

Second Step-

  • Click on the “All Resources” tab. You will find a dropdown list over there.
  • Then click on the Drop Down list and uncheck the Select All option.
  • After that, find “IoT Hub” and check the same.
  • Finally, click on the appearing “Drop Down” list to close it. It filters all the entries and displays them on your IoT Hubs.
  1. Deleting/Removing the IoT Hub

You can also delete your IoT Hub in the following way.:-

  • Go to the Azure Portal.
  • Select the “Delete” option to remove the IoT Hub.

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Conclusion

In the above blog post we discussed the Azure IOT hub, configuration, integrations,routing, communication and security in a more detailed way. Had any doubts please drop your queries in the comments section. 

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