Three things to look out for at AWS re:Invent 2024

Journalist George Fitzmaurice - a staff writer at ITPro, ChannelPro, and CloudPro - looked out to what AWS may announce the coming week to stay ahead of the pack.

"It’s been a year since AWS re:Invent 2023 and a lot has happened at AWS during this period of deep, transformational change in the tech industry. Generative AI has continued to gather pace, while new demands are being made of the major cloud providers by customers.

Increasingly, customers are looking to their cloud provider to support a new era – geopolitical tensions and regulatory scrutiny are pushing sovereign cloud demand, increasing multi-cloud adoption needs a response from providers, and generative AI is on everyone's mind", he writes in his article.

We are very excited about the potential announcements as with the emma ? Cloud Management Platform we feel we have an answer to the challenges.

The cloud giant is likely to come in hot on sovereign cloud and multi-cloud, alongside generative AI updates.

To stay agile and to stay relevant major cloud firms are looking at meeting these demands, and AWS is no different. AWS has unveiled plenty of announcements over the last 12 months, ranging from more sustainable energy-sourcing projects to updated generative AI capabilities built into its cloud offerings.

Multi-cloud

While multi-cloud may not be as central a theme at re:Invent 2024, there’s a good chance it will form part of some of the firm’s key announcements as AWS looks to hammer home its commitment to cloud customers.

With emma, organizations are not confined to a single cloud environment, granting the freedom to select the most suitable option—be it a public cloud, private cloud, hybrid setup, or on-premises infrastructure—ensuring optimal performance and compliance.

emma streamlines the integration of public cloud providers, including hyperscalers, niche options like DigitalOcean or Alibaba, and European regional providers, in a multi-cloud setup without adding complexity. By leveraging each provider’s strengths, organizations can create a customized technology stack that perfectly matches their operational needs. Additionally, by integrating on-premises infrastructure through vSphere, you can establish a ‘true multi-cloud environment’ that encompasses on-premises, private, and multiple public cloud providers.

This flexibility not only boosts operational efficiency but also positions organizations for sustainable growth and success.

Sovereign cloud capabilities

One of the biggest conversations in cloud computing over the last few months has been around sovereign cloud. This refers to cloud environments that ensure data is processed within specific geographical regions to help maintain regulatory compliance and national security.

emma champions an agnostic approach to cloud operations, enabling organizations to effortlessly transition between various cloud providers and environments—be it on-premises, hybrid, or public. This allows seamless movement of applications, data, or workloads without encountering technical hurdles.

Such flexibility empowers organizations to choose optimal solutions based on cost, performance, and unique requirements, including meeting sovereign cloud demands like data localization within specific regions. The inclusion of European providers like Gcore and Leaseweb exemplifies this capability.

Generative AI developments

It wouldn’t be a tech conference in 2024 without some mention of AI and, more specifically, generative AI. There’s been no shortage of announcements from AWS already over the past year, and re:Invent will no doubt put the technology high on the agenda.

emma’s agnostic, multi-cloud approach can support and accelerate enterprise generative AI programs by breaking down silos, reducing operational complexity, and enabling flexible, scalable access to the best AI tools and compute infrastructure available across leading cloud providers.

The platform offers seamless support and unified management for enterprises running generative AI workloads across multiple clouds. Its cross-cloud orchestration capabilities identify the most cost-effective and performance-efficient resources for generative AI workloads, automatically balancing demand across cloud providers.

This ensures businesses can focus on innovation without being tied to a single ecosystem.

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