PART 1 IoT Design Patterns By Joey Jablonski
As the price of electronics falls , the array of sensors and other connected devices continues to deliver increasingly diverse capabilities . We now have the ability to connect almost any device to a network to easily access and consolidate data , sensor output and behavior information . This integration is called the Internetof-Things ( IoT ) and it will enable people to have more visibility into and control over their lives than ever before .
The potential for a connected world seems to be endless . Every day a new vendor announces the ability to connect new devices to the IoT . This continued connectivity growth increases operational efficiencies and new business models . Gartner estimates that by 2020 there will be 25 billion Internet connected devices . This massive supply of data enables organizations to lower risks and save time and money . New research into driverless cars , which estimates a future savings of $ 1.3 trillion , is an example of how devices are being connected for greater intelligence .
The key component of any IoT platform is its ability to collect data to centrally coordinate , plan and make validated decisions , through the analysis of disparate sensor data . Cloud computing makes IoT possible by providing scalable resources for data consumption , processing and long-term storage . Selecting the right cloud provider for your IoT platform is key to enabling long-term scalability and reliability of IoT systems .
Cloud Assessment Criteria
When assessing clouds for building IoT platforms , there are several key criteria to follow in order to ensure the platform will empower change and growth over time :
Time to value
A cloud platform provides a faster time to deployment than traditional on-premise , capital-intensive models . Developers and architects can focus on building key features and functionality , while feeling confident that the infrastructure and operations components are handled in a stable , proven , and repeatable method .
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