INTELLIGENT BRANDS // Cloud

The new report , The Voice of Kubernetes Experts Report 2024 : The Data Trends Driving the Future of the Enterprise , explores the top priorities and trends in the cloud-native landscape , including modern virtualisation , cloud-native database and AI , ML adoption using Kubernetes , and the rise of platform engineering .

“ The latest Portworx by Pure Storage data findings confirm what we have seen across industries : cloud-native strategies are becoming more prominent with organisations now focusing on operationalising cloud-native environments with data , security , sustainability and cost considerations .

Advancements in cloud-native stacks and platform engineering is facilitating faster development and a balanced co-existence of VMs and containers . While migrating VM-based applications to Kubernetes remains challenging , robust data services and container platforms are making it possible , enabling accelerated development , seamless management , automation , and optimised IT infrastructure ,” commented Archana Venkatraman , Senior Research Director , Cloud Data Management , IDC .

“ Experienced platform leaders are running mission-critical applications like databases , analytics , and AI , ML on Kubernetes at massive scale in hybrid and multi-cloud environments . It is no surprise that these platform leaders are also paving the way for VMs to be managed by Kubernetes without compromising enterprise requirements , supported by solutions like Red Hat OpenShift and Portworx .”

“ The latest findings underscore the urgency of elevating the platform engineering role to manage infrastructure alongside the application stack for seamless innovation ,” said Murli Thirumale , VP and GM , Portworx by Pure Storage .

The rise of cloud-native platforms marks a fundamental shift in how businesses conceptualise , develop , and deploy applications at scale .

Kubernetes has matured from an emerging technology to a cornerstone for modern applications over the past decade , supporting the most data intensive workloads that fuel enterprise innovation , from real-time analytics to AI and machine learning to databases , and more . This shift has elevated the role of platform engineering , responsible for managing the infrastructure that enables efficient application development , deployment , and management within containerised environments .

Over the next five years , 80 % of respondents confirmed that all or most of their new applications will be built in cloud-native platforms . For their cloud-native technology , they prefer the flexibility of deploying in hybrid cloud environments , with 86 % confirming they run their cloud-native technology across both public and private clouds .

More than half , 58 % of organisations plan to migrate some of their VM workloads to Kubernetes , with 65 % planning to migrate VM workloads within the next two years .

Nearly all , 98 % of respondents run data-intensive workloads on cloud-native platforms , with critical apps like databases , 72 %, analytics , 67 %, and AI , ML workloads , 54 % being built on Kubernetes .

Murli Thirumale , VP and GM , Portworx by Pure Storage

96 % of respondents state they already have platform engineering teams to increase the scalability and flexibility of their apps . Executives have shown willingness to invest in training , 63 %, consultants , 60 %, and hiring skilled engineers , 52 % to support this function . p

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