How does DevOps for the Industrial Internet of Things work
更新時間: 2020-12-25 13:57:27
The Internet of Things (IoT) has become one of the most emerging technologies driving the development of manufacturing. It defines a network of physical objects integrated with sensors, applications, and other technologies to communicate and share data with other systems via the Internet.
The Industrial Internet of Things (IIoT) represents the use of the Internet of Things in industrial industries and applications. By leveraging machine-to-machine (M2M) connectivity, big data, and machine learning, IIoT enables the industry to achieve higher performance and quality in the production process.
Manufacturers are turning to IIoT because it is a powerful weapon for them to try to scale more effectively. Companies need to use emerging technologies to strategically produce positive results, thereby driving this shift.
Initially, IIoT provided many ways to improve the functionality of simple production processes. However, there is more. The advantages of IIoT include improving efficiency in the supply chain to design technologies and models that can contribute to sales growth. This development potential comes from the ability to identify activities in actual product use and use them in the production process to add more value.
For example, digital products can collect data that manufacturers can use to further optimize the product. Moreover, they can use these insights to identify new business opportunities.
Challenges of Industrial Internet of Things
DevOps is the center of market disruption. With DevOps, companies can create the necessary flexible, automated infrastructure that can handle a large number of actions and drive data insights.
Building a software product requires a different process than building a hardware product. The challenges are also different:
Create an embedded software to manage your device
Increase profits to reduce costly bug fixes for robust products
Enrich existing products with new features faster or launch revolutionary new products
Software expansion through the automatic deployment
Synchronize firmware and software updates
Implement security and alert standards to prevent data leakage
Real-time storage of data collected by all devices
DevOps for the Industrial Internet of Things is dedicated to developing applications that make data useful. Besides, it enables developers to move and iterate quickly, delivering changes in real-time.
Why choose DevOps for industrial IoT?
By combining development and operations, DevOps can bring many benefits to manufacturers and can optimize many processes. DevOps culture supports this, and DevOps culture is a set of methods to increase productivity and scalability.
What are the advantages of DevOps for the Industrial Internet of Things?
Increased deployment frequency
Improve code and application quality
Speed time to market for new features
Minimize the chance of publishing failure
Faster recovery after failure
For example, when several IoT-enabled devices are placed in different production locations to track energy data, these devices must track every event, including energy consumption. This includes turning on the machine, raising its level, etc. For these activities to occur during the working day, the DevOps-enabled infrastructure will be automatically expanded and then scaled down at the end of the working day to minimize operating costs.
IBM researcher Michael Rowe wrote an article on TechBeacon in which he mentioned the hourly car-sharing service car2go and the aero-engine supplier Power. These industry examples create the value of the included software support. According to him, customers no longer value physical engineering and sheet metal design the most. Conversely, software that monitors the fuel mixture or operating characteristics can significantly improve the user experience. When looking at the vehicle, neither the algorithm nor the embedded code that determines the experience is obvious.
How does DevOps enhance the Internet of Things?
To succeed in DevOps, companies need to take a systematic approach. This means that the entire organization needs to be transformed. Operations and development teams, quality assurance testing, and all other departments involved in making applications, including managers and business owners. Here are some ways DevOps for the Industrial Internet of Things can improve overall company performance:
Better communication and collaboration
Enhancing teamwork and interaction capabilities within the organization is one of the biggest advantages of DevOps. The quality assurance team, operations team, and production team are more coordinated. The strategy is to make all of them work with customers to create tailor-made solutions that meet their expectations and requirements.
More effective testing
The role of the production environment can be verified through application testing. Then, the DevOps team will find dependencies, gain insight into the functionality of the application, and make corresponding changes. Through automation and implementation, these processes have become routine processes, which can be further promoted, tested, and extended.
Measure analysis and performance
By advancing research in the process, analysis and success tracking can arrive early in the life cycle. DevOps does not need to wait to collect output data after production to analyze what went wrong but implements a specific analysis model that can predict quality and organizational issues before launch.
This data can help you set KPIs and measure them more easily. When the output parameters are more closely aligned with key performance indicators, you can improve overall performance and improve customer experience.
By automating the process, manufacturers can gain the ability to extend solutions while reducing complexity and cost. DevOps should maintain IoT software by considering operational aspects and ensure the maximum efficiency of equipment by placing them correctly.
This is how DevOps automates the process:
CI / CD
Continuous integration and continuous development provide a simplified automated development process. This can speed up deployment by building, testing, integrating, deploying, and other automated production pipelines. Continuous integration also helps improve agility and communication skills.
The IIoT solution that does not rely on serverless architecture combines the virtualization layer with the container architecture and business process manager. The model is based on one or more containers running on virtual machines developed using microservices. This is the strategy that the team should use when planning to add many new features and scale.
Usually, a container has several microservices, which can be aggregated to build the functionality of the entire software. They involve all the necessities, such as libraries, needed to enable the software to run on various platforms. As the application expands, this reduces the complexity of deploying on different platforms.
As the application expands, so does the container architecture. This makes container management difficult. Kubernetes is the most popular container orchestration tool. It defines the required state of the system and supports it through the orchestration control function. Kubernetes supports automatic recovery from failures, reducing expansion complexity, and improving security. (For some Kubernetes users, other tools that support orchestration include OpenShift, DockerSwarm, or Amazon's EKS.
Embrace DevOps culture
DevOps is not only about toolchains. One of the first obstacles to solving corporate culture is whether DevOps is generated as a new entity or is a combination of current development and operations processes. A constantly changing culture must rely on opportunities to provide faster and more efficient solutions and be able to meet market needs.
At the center of DevOps culture are agile methodologies, which rely on autonomy and speed. However, not all teams have the expertise required to support this autonomy. This is why culture is not always restricted and includes only engineers. A true DevOps strategy requires collaboration between development, operations, company owners, customers, and partners. Together, they need to enable the company to develop and release fast, high-quality solutions that achieve business goals.
Especially in the field of Industrial Internet of Things, DevOps can provide faster feedback so that the team can improve performance. Based on the collected data on equipment usage, the production team can propose activities that can optimize equipment usage. These activities can include improving maintenance by identifying pain points based on actual usage, automatically optimizing energy consumption parameters, and comprehensively improving the behavior of all connected devices.
The cultural shift should improve customer engagement, as the connected devices will be optimized according to the needs of each customer.
Now, a customer-oriented "on-demand" mentality allows companies to follow agile methods, which is the core tenet of DevOps and can be developed and delivered continuously. And, as companies continue to integrate technology with customers’ strategic digital priorities, the Industrial Internet of Things will become a key component of growth. The industry will begin to see DevOps as an important pillar of IIoT to better understand how to build and implement applications to simplify IoT devices.