Drawing insights from the developments we’ve seen throughout 2023, emma presents a comprehensive view of what lies ahead in the realm of cloud computing for the year 2024.
2023 was nothing if not the year of GenAI. In 2024, this exponential growth of generative AI will transform cloud computing models. That’s not all though — the cloud landscape has plenty of other trends emerging on the horizon. As we head into 2024, businesses and consumers alike are eagerly anticipating the imminent cloud trends for 2024. Drawing insights from the developments we’ve seen throughout 2023, emma presents a comprehensive view of what lies ahead in the realm of cloud computing for the year 2024.
The era of cloud-first strategies is behind and the landscape is swiftly transitioning towards a heterogeneous computing paradigm. The recent years witnessed the rise of multi-cloud, where businesses distributed their data and workloads across several public cloud providers to access best-of-breed services and capabilities. That trend has now morphed into a broader workload-first trend, where businesses add to the mix pretty much much any environment that caters to their needs. For instance, AI training and video transcoding workloads need purpose-built hardware that several public cloud vendors are offering, whereas those dealing with highly sensitive information are better suitable for private or sovereign cloud deployments. This heterogeneous computing trend is going to take further traction as more and more businesses consider putting workloads in environments that suit them best, whether it’s on-premise, private, edge, or any public cloud.
In 2024, the heterogeneity of enterprise cloud environments will pave way for innovative cloud management platforms, a.k.a super cloud. Super cloud is the latest addition to the cloud glossary. The term is typically used to describe a platform that runs over the public cloud providers as well as any other legacy, mobile, or edge system. Super cloud essentially abstracts the underlying legacy and cloud systems through automation, orchestration, and centralized management capabilities. With the rise of super cloud, businesses will have the liberty to relocate their VMs to any datacenter across regions, clouds, edge locations and on-premise deployments, irrespective of the CSP and without complex configurations and integrations. Going a step further, super cloud will also leverage AI and ML for predictive analytics for better resource and cost optimizations, allowing businesses to maximize their cloud value.
The cloud repatriation trend is already on the rise because of the rising cloud prices as CSPs seek to monetize their heavy AI and infrastructure investments. In addition, many businesses simply hopped on the cloud bandwagon but never optimized their cloud spend. Consequently, they never fully realized the cloud potential. But giving up on the cloud entirely means losing out on the cloud benefits, such as AI advancements, built-in redundancy and state-of-the-art services, all of which will be becoming indispensable for businesses in 2024. This clash of interests will also give rise to a new trend in 2024 — Bring Your Own Cloud (BYOC). In a typical BYOC model, businesses will be hosting their data and applications on-premises while still offloading the control plane, which includes functionalities like provisioning, configuration, updates, security policies, and user access, to SaaS vendors. This will allow enterprises to optimize their cloud spend by reducing data transfers to and from the cloud and enjoy better control over their cloud environments.
AI and ML have emerged as pivotal trends across all industries this past year. In 2024, as the initial hype subsides and AI and ML algorithms mature, they will fundamentally transform the cloud landscape, unlocking new potential and capabilities. From cloud security to resource optimization, AI is poised to make a mark in all cloud aspects. AI-based solutions will enable cloudOps to optimize resources and predict future demands based on historical usage data. They will enable automated adjustments for optimal performance and resource scaling and utilization. As AI integrates deeper within the cloud, 2024 will bring several AI-based shifts and tangible optimizations in cloud computing environments.
The cloud has grown exponentially over the past few years. With the latest wave of genAI developments, enterprises have rushed to public cloud adoption without having the right skill set in place to optimize their cloud environments. Given the fast pace of technological developments in the cloud, the much needed cloud skillsets haven’t had the time to develop quite yet. To paint a clearer picture, some 95% of businesses are facing a cloud and IT skills shortage. This pre-existing skills gap will only worsen over the next year as businesses grapple to ensure maximum return on their cloud investments. Amid the widening talent shortage, businesses will have to resort to cloud tools and solutions that streamline cloud operations and enable them to optimize their environments with the help of the skills they already have.
The emma cloud management platform empowers organizations to design, manage, and optimize their cloud environments centrally and in a platform-agnostic way. It essentially provides a single interface for accessing and managing all clouds, on-premise, private, public, and edge. Here’s how the emma platform can help you keep up with the evolving cloud landscape in 2024 and beyond:
The emma platform facilitates heterogeneous cloud by eliminating the complexities and challenges of managing multiple, siloed environments. Through a single platform, cloudOps can access and deploy resources across any region, provider, or environment within their cloud portfolio.
The emma platform fits perfectly with the super cloud definition, a concept that’s bound to go mainstream in 2024. It adds an abstraction layer to the various underlying public and private cloud environments. It allows organizations to locate and re-locate their workloads across any cloud provider in just a few clicks.
The emma platform’s capabilities span public, private, and on-premise environments, allowing organizations to repatriate certain workloads to inhouse data centers or private clouds. It’s an essential tool for the BYOC paradigm as it allows you to leverage abstractions, end-to-end visibility, centralized management, and cost optimization recommendations for their on-premise and private cloud deployments as well.
The emma platform utilizes cutting-edge AI to deliver real-time recommendations for cloud cost optimizations, enabling up to 75% cost savings. Based on resource usage insights, cloudOps can analyze workloads, predict behaviors, and choose optimal environments for particular workload needs.
The emma platform provides a standardized, no-code approach to accessing and deploying cloud infrastructure across any provider. All it takes is a few clicks and no coding or configurations that demand cloud-specific expertise. CloudOps can quickly get acquainted with the emma platform’s user-friendly interface and start managing multiple cloud platforms without dedicated expertise.
Given the speed at which the cloud is evolving and new trends are emerging, it can be hard to keep ahead of emerging cloud technologies. AI-based, consolidated tools like the emma platform can enable organizations to simplify and streamline cloud operations across any configuration of diverse cloud types and vendors. It allows organizations to quickly brace whatever comes next in the cloud landscape.
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