In 2018, the number of connected IoT devices is projected to grow to over 23 billion, according to Statista. And these devices will create a volume of 400 zettabytes of data by the end of the year, as reported by Datastax. With such an explosion in device-driven data, it’s important to have a strategy for maximizing the business impact of IoT big data, transforming it into actionable intelligence.
I recently read an article asking, “will IoT save retail”? Indeed, there are several ways IoT can help address issues that keep many retailers up at night. From RFID to help with supply chain cost efficiencies to Beacons that serve to increase marketing and sales outcomes, IoT initiatives are being heavily invested in across retail segments. Moreover, IoT is just one example of an area where digital transformation can help retailers become more competitive and better match their products and services to evolving customer expectations.
For the past few days we’ve been reviewing the most widely read themes of 2016 here on the Flux7 blog. In case you are just joining us, we’ve already discussed the benefits and challenges of containers, configuration management, and Continuous Integration and Continuous Delivery (CI/CD) in an AWS DevOps environment. Wrapping it all together, we end our Best of 2016 series with our most talked about articles on Amazon cloud computing.
Enterprises are investing heavily in their IoT efforts, so much so that the total IoT market is expected to grow to $1.7 trillion by 2020, compared to its $656 billion in 2014, according to research firm IDC. The research firm Gartner estimates that there will be 8 billion business-connected IoT devices by 2020. With so many devices coming online, enterprises can expect a lot of changes and incremental demand on their infrastructure.
Those that do it right will be able to drive innovative solutions for themselves and their businesses. But what does such an innovative friendly IoT infrastructure look like? For that answer, we turned to Flux7 co-founder, Aater Suleman.
Despite many of the valid concerns surrounding enterprise Internet of Things (IoT) deployments, there’s no slowing its momentum now. By some estimates there will be more than 50 billion intelligent and connected devices by the year 2020, and within a decade, according to a McKinsey study, these devices will spark $11 trillion in economic value. Despite uncertainty around return on investment, regulations, or the ability to execute because of technological barriers, the move to connect and add intelligences to disparate and distributed devices remains strong.
The Internet of Things (IoT) is rapidly moving from niche use cases to normal business. According to research firm IDC, about three-quarters of respondents have IoT deployment plans, or already have efforts underway. Most enterprises don’t view IoT as a sideshow or something that will provide peripheral benefit, but see these efforts as strategic to the business.
AWS Case Studies: DevOps
A Fortune 500 manufacturer was using Hadoop, internal data centers, Rackspace and CenturyLink to facilitate services that connected its customers with data insights using an Internet of Things model. The overarching goal: to facilitate continuous data-driven improvement within its customers’ operations. To help achieve this goal and overcome its Hadoop scaling issues, the company engaged with Flux7, DevOps consulting group and AWS partners. Additionally, the manufacturer sought a global solution that would comply with EU data privacy laws.
Flux7 engineer Ahsan Ali and CTO Ali Hussain collaborated on this post
The rise of IoT has given rise to a new generation of needs in the world of big data processing. Now we need to handle data ingress from many sensors around the world, and make real-time decisions to be executed by these devices. As such it is no surprise we see new services to handle processing of streaming data, such as Amazon Kinesis.
How does the Internet of Things (IoT) change the way we develop, test and release software? Always-on connectivity introduces a new set of risks and challenges for development and operations teams.
Last week, Amazon Web Services announced the availability of larger and faster Elastic Block Storage Volumes, something we’ve been looking forward to since the original announcement at re:Invent 2014. AWS continues to add rich features to their platform and it can be difficult to stay on top of them, and understand which new capabilities are going to impact an individual business, and how.
Recently at Flux7 Labs we developed an end-to-end Internet of Things project that received sensor data to provide reports to service-provider end users. Our client asked us to support multiple service providers for his new business venture. We knew that rearchitecting the application to incorporate major changes would prove to be both time-consuming and expensive for our client. It also would have required a far more complicated, rigid and difficult-to-maintain codebase.