Variety of Assets: The proliferation of IoT and mobility is going to go against current standardization drives and bring in new devices.
Lifecycle Management: Lifecycle management of traditional hardware and software is very different from what is required for managing tiny things or wearable devices. The life of these devices, the device cost, the routine maintenances (like changing) are going to pose new challenges that need to be dealt with.
Range of Terrestrial and Non-Terrestrial Networks: In addition to the network that an organization deals with, there will be need to integrate mobile 3G, LTE/4G and other future networks for carrying enterprise data. There will also be a need to explore low-powered wireless like Zigbee, Bluetooth LE type devices. Trends to adopt 802.11AC is already underway in many organizations. Others networks like CANbus, industrial ethernet are of interest.
New Platforms: While the transitional platform and bespoke solutions are not going to disappear soon, there will be need to introduce new platforms better suited to handle the scale and also better adopted for mobility. Areas like Symantec Web, machine learning platforms are going to be of keen interest. Cloud based and other Open Source ecosystems are emerging as a compelling alternative in many cases.
Dev and Test Tools & Practices: Transitional SDLC processes are seeing few takers for adoption in the new digital age application developments. With strong focus on Cloud, Big Data and custom platforms, agile processes with continuous integration are finding more approval. Need for tools enabling DevOps functions, container-based deployment etc. are becoming essential.
High Performance Compute: Traditionally a forte of scientific community, there are specific use cases when such systems find application in new age enterprises. Scenarios where there are applications of High Performance Compute include situations where thousands of connected things are emitting streams of data and there is a need for real time analysis and decisions making.
Parallel File Systems: Dealing with Big Data has become a norm for many digital applications. Traditional SAN, NAS, JBODS are getting complemented with software defined storages, Hadoop and other Map Reduce capable systems. Parallel file systems can be niche solution that often go with high performance compute and provide high throughput on vast volumes of data to provide real time access.
Evolving Network Platforms & Protocols: In addition to the well-established ethernet networks, there will be a need to establish network designed for very low energy consumption devices. Zigbee, Bluetooth LE are few examples of these protocols. Software Defined Network is getting lot of attention as replacement for expensive hardware that has limitations in scale out scenarios.
Big Data: Large volumes of data that need constant access is bound to hit physical constraints of disk IOPS (IO operations per second), network throughput, memory size etc. Hadoop, NoSQL, graph databases are platforms specifically designed to handle this. Ability to deploy on premise capacities at price points lower than similar public Cloud services will become a necessity when lifecycle management and compliances issues on Public Cloud are a hindrance.
Variety of Management Tools: IT departments will need to augment their tool base to accommodate the management of the new devices and platforms. The tool ecosystem is yet to catch up with many of the popular devices, appliances, Open Source platforms and applications that are getting popular in the digital enterprise.
New Operational Process: Many existing operational practices need to be revamped to adapt to the changing world. The need is driven by rapid adoption of new technology, Cloud-based platforms, new development practices and the need for extreme agility. Operation platform centered on autonomics is going to be for the future.
DataCenter Facilities & Design: Cloud is today establishing itself as an essential part of an enterprise’s architecture building block. Hybrid Clouds with brokering capability will provide options for internal teams to analyze and procure resource from across the globe based on the workload profile. Private Cloud will have to be redesigned for compatibility to Public Cloud. OpenStack is emerging as a good choice alongside the established players. Also, there is a need for sensing capabilities at remote sites along with small and efficient data centers at those locations
Security Designs: Traditional approach to security is going to be severely challenged as the scope for computing increases and information resides in devices and locations beyond the confines of data centers or enterprise boundaries. Securing device assets, trust management, mobile device management, network micro segmentation, etc. will have to be prioritized.
Accounting & Monetizing: Wide unrestricted consumption of Cloud services across an enterprise is going to introduce new challenges around the billing, chargeback and entitlements. IT departments will be required to play the role of a broker to fulfil these requirements. Cloud service brokering tools with strong focus around commercials will become a necessity.
Conclusion
As businesses venture to embrace and adopt the innovations for its digital transformation, IT will need to rapidly adopt changes in technology, process, people and organization structure. In addition to the areas touched upon here, organization can actively collaborate with SIs and MSPs investing heavily in these areas. Next generation service operation platforms from these players come with many ready capabilities around these areas.
