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Data Center trends 2023

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As the number of applications requiring storage increases, there has been an increase in the development of software automation and artificial intelligence in data centers, demonstrating that digital ecosystem connectivity is the key to future success for data centers. But as more businesses choose hybrid or full cloud architectures, demand for cloud services will increase. To stay up with the evolving tech world, a lot of transitions are expected to occur in 2023. Data centers will likely become more powerful, scalable, and sustainable in the upcoming year.

The key technological trends expected to influence 2023 are:
  • Multi- cloud strategy for cloud

According to reports, end-users will spend up to 88% of their time this year on mobile platforms utilising their favoured apps. The more time individuals spend digitally, more the servers and low- latency connection options telcos will require. Hyperscale data centers would provide the scale and connectivity required to keep up with rising usage. Services will be distributed, deployed, and run across multiple resources in 2023 and beyond, including public clouds, private clouds, networks, and devices, all continuing to work around each other and provide a single service or set of services.

To get the best of both public and private clouds, more businesses are turning to hybrid cloud deployments. The private cloud offers superior control and security, whereas the public cloud offers massive computing power. According to reports, 84% of mid-to-large businesses will have adopted a multi-cloud strategy by 2023, making it one of the year’s defining trends in cloud computing.

  • Artificial Intelligence (AI)/ Machine learning (ML) and Internet of Things (IoT)

AI will be distributed and move toward the edge: Since AI algorithms and training work best with large datasets and auto-scaling compute clusters, public clouds have traditionally been a popular place to deploy AI. However, there is a growing need to deploy AI in a distributed and edge manner for a growing number of use cases. In these cases, additional stringent requirements in relation to latency, performance, privacy, and security make it necessary that some AI data and processing, both for inference and training, be near users and sources of data creation and consumption. AI deployments at the edge for both AI training and inference will accelerate, as well as an increase in as-a-service capabilities for infrastructure automation and orchestration of hybrid multi-cloud AI environments.

As today’s networks get more complex and even more distributed, the demand for data centers is starting to go through a dramatic shift. Availability remains the top priority, especially in Edge infrastructures, but the need to bring in low latency at all ends of the spectrum is rising manifold.

  • Future networking in a cloud-native environment.

Digital growth and acceleration are here to stay, and with that realization comes the need for digital leaders to embrace the technologies and trends that will give their organizations a clear advantage. Business and technology leaders who understand and embrace these macro trends will be better prepared to contribute to our ever-changing future.

With applications, workloads and data spread across various on-premises, off-premises and traditional environments, the interdependencies are all set to surge intensely in the coming years. This results in the need to orchestrate and integrate the applications and data for manageability and cost efficiency—complex applications and data landscape fuel the ask for flexible and secure connections to the ecosystems.

An interconnection partner that helps in collaborating with Cloud, Internet Exchanges, and the broader ecosystem are pivotal! The interconnection of applications, businesses, and Clouds mandates the readiness of digital infrastructure, enabling availability, agility, resilience and flexibility.

From an enterprise’s perspective, there are three areas that need to be covered by their DC provider.

  1. Hybrid Multi-Cloud Connectivity

Create a network with flexible and scalable connections between Cloud providers. These can be forged through multiple locations via Software-Defined Networks (SDN).

2. Edge and Branch Connectivity

Extend the overall reach of your digital infrastructure to the Edge and branch locations with secure, flexible connections to SD-WAN service providers.

3. Digital Ecosystem Connectivity

Build an optimised network for digital services with scalable, low-latency connections to your value- chain service providers and partners both in the Public Cloud and in the Data Center.

Overall, the data center sector is anticipating a thrilling year in 2023. And in order to remain competitive and seize new opportunities, it is more important than ever for enterprises and operators of data centers to keep up with these trends and advances.

 

(The author is Mr. Nikhil Rathi, Founder & CEO, Web Werks and the views expressed in this article are his own)

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