IOT  plays a major role in most of the technologies today. Although this concept has been in existence decades ago, it came to the people very late. But it has demand in the market. And this concept has been applied to most of the technologies that we are using today. The concept of IoT is defined in the  following manner:

The Internet of things (IOT)  is a system of interrelated services like computing services, digital and mechanical machines that are provided with unique identifiers which have the ability to transfer the data over a network without human interaction, human-computer interaction,  human-human interaction.

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The thing in the IOT  can be a person with a heart monitor implant  (or) an automobile that has built-in sensors to alert when the driver pressure is low  (or) any man-made object that can be assigned to an IP   which has an ability to transfer the data across the network. This concept has been involved from the convergence of Internet, wireless technologies, Microelectromechanical system(MEMS) and MicroServices.

Now let us see how DevOps interacts with IOT

The interaction of DevOps with IOT can be explained through Feedback way. In a well defined DevOps environment, you are not only supposed to provide fast updates but also implement those updates and check whether it is reflected in the prescribed environment.  Updation requires the reason for an update?  Whether it is a customer satisfaction, engagement. you must measure the effect of the update, whether it is required because of increment in the customer satisfaction (or) engagement  (or)  something else. If this update is delivered to  engineering teams  it must enable faster products  for faster improvement

Price:

Price plays a  major role in building the environment.  If you would like to build a DevOps environment you need to invest in the infrastructure as well as for the data center for storage.  But if you develop an environment with IOT  expenditure would be as we have the built-in data centers in a built-in infrastructure .more over you have the benefit of buying the devices at the discounted prices.

security:

As IOT is mainly intended to transfer the data across the network, security plays a major while transferring data across the network so as to keep the data safe from cyber attacks.  Below are the  measures   for transferring  of data  across the  DevOps  environment in a secured fashion :

Design  and implement  secure model for  updation  of  the process

Secure  product interfaces  with authentication, integrity protection, and encryption

Obtain an independent security  assessment of connected products

Implement a  secret key for root chains and security on the device

Scalability:  

When you plan to scale your business you need to scale you need to scale your infrastructure as well. With millions of devices connected to your network, you need to send and receive data, monitor the devices, which support multiple ranges of network providers which support a large volume of data is being collected and processed.  Real-time streaming and data processing capability is available for large volumes of data which enables scaling of individual comp[onents of IOT solutions as well as scaling of group items.Different cloud vendors give an option of to scale based on demand horizontally (or) vertically with portability options with a flexibility to choose multiple clouds from a mix different clouds (or) hybrid structure.

IOT DevOps/Online IT Guru

Analysis and Visualization: 

It is estimated that  90% of volumes of data collected becomes unused. To know the amount of data that is being utilized (or) any other business metrics  /analysis data algorithms must be updated as per industry requirements and device changes. Along with this extensions were needed to integrate the data with data analysis tools and rules can be defined with customizable dashboards which enable you to focus on more business outcomes rather than building the algorithm from the scratch.

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Recommended audience:
  • Software Developer
  • System Admins
  • Who has exposure to automation
  • Project managers
  • Team leaders
Prerequisites:

It’s good if you have a knowledge of programming like Java. It’s quite easy for CS background people to pick when compared to other branches. But anyone can master it with proper learning and training.

 
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