Gartner forecasts that 14.2 billion connected things will be in use in 2019, and that the total will reach 25 billion by 2021, producing immense volumes of data. In fact, reports have shown that most of the world’s data have been generated in the last two years.
The growing number of IoT devices is responsible for this huge amount of data growth.
Today, IoT devices are available everywhere. Originally designed to alert, these devices now do more than that. Technology now allows for massive amounts of streaming data to be collected from connected devices and sensors. From data in sensors on the streets to our smart appliances and devices at home or work, the amount of data and information just continues to grow. And with that, the need for analytics to load, store and analyse these data streams in real-time becomes more relevant and important.
In the context of modern applications, data from IoT devices are essential to ensure demands are met. Let’s take the example of smart traffic management systems. In Malaysia, many cities are now looking to implement smart traffic lights. Smart traffic lights work based on data collected from the sensors that are placed in the ground and infrastructure in a particular street. From there, the data collected will be used to analyse the traffic flow and manage the system.
For this to work effectively, the data streams have to be processed in real-time. If the system supporting this isn’t able to keep up, everything will become pointless. If the system is going to lag and delay the i/o and read/write process, the pace will be off. The system will eventually be delayed. And we have noticed this in some smart traffic systems in the city whereby the smart system has been implemented but does very little to solve the traffic problems.
Another example would be smart homes. Smart homes are all about connectivity and are heavily data-driven due to the number of connected devices at home. But in order for those devices to serve their best purpose, be it smart devices for temperature, lighting or entertainment, they would also rely on data that is able to read and write fast so that decisions can be made. The growing number of devices at home would require a stronger analytics system that can analyse the data at faster speeds.
For both examples, ensuring the read/write process of data is fast is crucial, and all-flash storage is the answer. This is because all-flash storage is able to move and read/write the growing amounts of data at much faster speeds. It also allows you to manage the movement of your data, allowing your system to pace out the workload and support the high amount of data that is coming in. Storage that can process millions of transactions per second is the only way your systems will be able to work and provide the right solutions.
To find more about all-flash storage and how it can optimise your systems to support IoT devices, click here.