2018 – Year of the Hybrid Cloud

Infrastructure is going through a transformation and with every passing year technologies are evolving rapidly making it more complex. Business are spread across multiple geographies and data needs to be collected from every consumer touch points. Nevertheless, customers have to keep their business running and constantly evolve to keep up. Managing complexity is the biggest, most significant pain point that IT CIOs are grappling with today. The ecosystem is banking on the ‘cloud’ to bring in simplicity while being able to work and deliver results faster with a lower TCO.

The last decade has witnessed a sea change with numerous innovations making multiple technologies available to CIOs that call for many different ways of doing IT. The question in front of them is - which one really helps evolve to a design template that will give me the longevity and future keeping in mind the IT transformation that the organization is planning for?

The demand for Hyper-converged infrastructure(HCI) to grow

In 2018, public cloud adoption will drive the need for hybrid cloud. As leaders increase their IT spend, there will be a growing need to explore public cloud as an option but that also means that there will be an increasing segment of people who will look for solutions that will help them adopt hybrid cloud solution because enterprises will need to evaluate which application needs to be put on which kind of cloud. The idea of running all applications on cloud will be replaced with a more selective approach and having the hybrid cloud will help them to do just that.

This trend has already gained momentum in the global market and has been well recognized by the analyst community. There will be a HCI first approach for any new purchases made by enterprises in the coming year, which will result in an increased adoption of HCI which fundamentally enables customers to do hybrid cloud.

Application mobility the key factor to evaluate technology

The second aspect of hybrid cloud is that applications need to be mobile. They need to be portable across the cloud, which means that one of the key aspects of people evaluating technologies will be application mobility itself. In the past, the applications used a virtual machine construct to make them portable and available on different systems. Going forward, we will see further acceleration of technologies such as containers that will help people port their applications is a much more simpler way. Containers will help make applications extensible make them scale out and make them more flexible. Containers will get a lot more interest in 2018 and technologies such as Kubernetes will draw more attention from people who would like to understand how to manage their cloud environment using the construct of Kubernetes and such technologies.

Infrastructure as a code

The third trend to look out for is more and more data-centric infrastructure will be treated as codes. This means that ‘Infrastructure as code paradigm’ (IAC) will now kick in. IT itself, IT management and planning of overall operations, will become automated and agile. Developers will be able to write software infrastructure as a code, making siloed hardware boxes function faster. We will see a lot of automation, self-service, a lot of private cloud as a service to the end customer going forward. The focus on automation inside the Datacenter will drive ICA as a theme for IT teams to evolve their cloud management and datacenter management strategies.

Artificial intelligence

Artificial intelligence (AI) is developing but is still at a nascent stage. Machine Learning (ML) which is the foundation for AI will see more meaningful adoption. Evaluation of machine learning will lead to machines being able to identify and help optimize the overall datacenter operations - from overall root cause analysis to how ticketing systems will be created for teams to interact. We are already seeing the merger of teams happening in datacenters, today we do not need a specialist for fiber channel versus a specialist for hypervisor. We will also see that as teams come together, a lot of intelligence will be transferred to the machines, where machines can manage other machines efficiently. This will mean that the machine learning paradigm and the heuristics that are used inside data center operations will become stronger, eventually leading to a robust AI kind of delivery over the next few years. The first step to delivering artificial intelligence will be in this machine learning trend that we will see strengthening in 2018.

These are the four significant trends that people need to watch out for as they are evaluating their data centre transformation in the year 2018. These trends will not be specific to just a few industry segments and will radically transform every business right from consumer personal technology to enterprise technology across the globe.