Welcome to the latest post in our ongoing blog series on DevOps and automation. In this series, we’ve covered topics like how an effective DevOps culture can lead to better automation, why a personal touch is still important, and automation versus orchestration in a DevOps culture. Today, we’ll be looking at how we can use these practices to accelerate adoption of Internet of Things.
By 2020, the IoT is expected to grow to a $3.7 billion market comprised of 30.7 billion devices. While the sheer number of devices can be overwhelming, there are huge implications for how companies store, manage and utilize this information. The cloud provides much more flexibility and speed for IoT devices to operate. For software development and IT ops teams in particular, this presents an excellent opportunity to help achieve the benefits of the IoT.
What kinds of devices are we looking at? Well, that’s part of the problem – the IoT encompasses such a vast array that there’s plenty of variation. Smartphones and wearables are ubiquitous. Sensor-driven devices for buildings, bridges, and roads – from lights to structure maintenance – are being deployed every day. Then we have digital voice assistants like Alexa and microprocessors in items like doorbells, security systems, and even heating and air conditioning. All these different devices are producing a wealth of information.
DevOps and automation are critical in creating the automated systems that will be needed to keep up with the growth of IoT. It’s impossible to manage manual steps to moderate this information in the long run. Employing solutions that use microservices, automated scaling, and rapid deployment will let businesses keep pace with the growth we’re anticipating. These items will make your organization ready for three key actions:
- Allow for growth in data consumption and storage
- Ensure ability to pivot an application if a new ‘data type’ is identified
- Continually analyze data to see what else you can find
Leaving data untapped is an area where organizations struggle. They are unable to exploit this information due to the burden to access, review and act on this data. Employing the right development principle is a critical step in avoiding this.
IoT’s future is unpredictable. It’s no coincidence the cloud is growing as organizations try and explore this area. It’s easier to connect devices via the cloud so you can scale your services and even turn information on or off. We have speed and flexibility within the cloud that wasn’t there before. But having this agility is only possible with the right culture, tooling, and practices.
The opportunity is growing – but so is the challenge to make IoT innovation work for you.