Applying DevOps to IoT solution development
Pandey Manoj, Babaria Urvashi & Soni Govind (eInfochips)
embedded.com (March 06, 2017)
There is no doubt in anyone’s mind today that enterprises across all verticals are viewing the growth of the Internet of Things (IoT) as a playground of endless opportunities with somewhat undefined rules – clearly a market that they don’t want to miss out on. A McKinsey & Company analysis estimates the total economic value of IoT technologies in the range of $4 trillion to $11.1 trillion a year by 2025.
In order to weather the big changes of IoT transformation in near future, IoT application developers and product companies must understand that faster time-to-market is very critical to success in the IoT marketplace. To achieve that, you must allow IoT development platforms to do most of the heavy lifting. This is currently a major focus for large IoT enterprises right now, and can indeed play a very key role in the development of scalable IoT applications and services, leading to faster time-to-market because of reduced costs and time of delivery. There is also reduced need for coding and testing.
Related Semiconductor IP
- 1-port Receiver or Transmitter HDCP 2.3 on HDMI 2.1 ESM
- HDMI 2.0/MHL RX Combo 1P PHY 6Gbps in TSMC 28nm HPC 1.8V, North/South Poly Orientation
- HDMI 2.0 RX PHY in SS 8LPP 1.8V, North/South Poly Orientation
- HDMI 2.0 RX Controller with HDCP
- HDMI 2.0 RX 4P PHY 6Gbps in TSMC 28nm HPM 1.8V, North/South Poly Orientation
Related White Papers
- The IoT is turning software development upside down
- Designing an Efficient DSP Solution: Choosing the Right Processor and Software Development Toolchain
- Applying Continuous Integration to Hardware Design and Verification
- Power Management for Internet of Things (IoT) System on a Chip (SoC) Development
Latest White Papers
- New Realities Demand a New Approach to System Verification and Validation
- How silicon and circuit optimizations help FPGAs offer lower size, power and cost in video bridging applications
- Sustainable Hardware Specialization
- PCIe IP With Enhanced Security For The Automotive Market
- Top 5 Reasons why CPU is the Best Processor for AI Inference