The evolution of connected devices has brought challenges associated with the complexity and managing huge volumes of data. These devices also bring the need for a huge ecosystem of continuous software deployment across numerous application delivery endpoints, including a diversity of devices, mobile, web and others.
There exists also the opportunity to unify operations and development, thus giving rise to the DevOps environment within the product engineering and IoT space—encompassing tools, processes and people as a single unit for more efficient and coherent working.
DevOps accelerators and services allow intelligent automation and power the industrial IoT and consumer IoT companies with the capabilities of deployment, testing, build and continuous integration.
It enables the organizations in connected health care, telematics, networking, security and surveillance, and home and industrial automation to accelerate their product development cycle, deliver significant cost savings via release efforts and reduced outages, enable operational scalability and improve code quality. It will enable the solution and product companies to accelerate their prototype to product cycle and decrease deployment time to days from months.
Application reliability and availability are the ultimate measures of the success of IT. DevOps applies lean and agile practices all through the software life cycle to attain faster deployment and high-quality application development. Also, DevOps alleviates the rising complexity caused due to new computing trends including mobility, cloud and virtualization via increased automation. Now, let’s dig deeper into the importance of DevOps in the world of IoT and its applications.
DevOps in the IoT
The most effective DevOps transformations take a holistic approach, which means taking care of the entire organization in all aspects. This implies including all the constituents of the application, including quality assurance, operations and development teams, line managers and business owners. The constituents may also extend to compliance and security teams. The cross-functional inputs for software functionality and system requirements generates an ongoing feedback loop that helps reduce complexity and promotes engagement.
Thus, one of the advantages of DevOps is improved collaboration and communications across the company. Deeper collaboration between quality assurance, operations and development teams follows an approach in which they all with collaborate with the client for designing a customized solution to fit their requirements and needs.
Application testing should reproduce the function of a production system environment. Then, the DevOps teams can locate dependencies, gain knowledge on the functioning of an application when it is in the live environment and, accordingly, make adjustments to the compute environment. These processes become repeatable and iterative with automation and practice, allowing for more deployment, testing and development.
Analytics and performance monitoring come earlier in the life cycle by moving the testing forward in the process. DevOps can develop performance analytics models which can predict quality and operational problems before deployment rather than waiting to acquire post-production performance data to examine what went wrong.
These metrics can be utilized to establish KPIs (key performance indicators) and the production environment can be measured against them. The user experience and application performance can be improved as production metrics adhere more consistently to the key performance indicators. At this stage, sharing the data with business teams allows for adjustments to be made with less stress and faster, and accelerates the feedback loop.
Continuous integration allows for better agility and collaboration to enhance code validation, which in turn reduces risks. The automated processes make for releases of higher quality that are easier to handle once they are in production.
Treating the infrastructure configurations as code enables DevOps teams to handle provisioning on the fly in software and this sets the stage for the eventual migration towards a completely software-defined environment. With the emergence of the IoT, DevOps will become even more important. The precision of the services and software controlling networks, devices and sensors is critical as every device becomes interconnected in a software-defined environment.
Conclusion
Today, DevOps has become the main destructive force in the adoption of many technologies such as blockchain, which is the technology behind cryptocurrencies such as the bitcoin wallet. Owing to its substantial impact on business outcomes, operational efficiencies and deliverables, DevOps has become the major reason behind the evolution of IoT.
