The question every leader should ask this week:
"If my Cloud provider went down tomorrow, would my business stay online and remain trading?"
If the answer isn't a confident "yes," it's time to reconsider your business continuity strategy...
Recent outages from AWS (20-10-25) and Azure (30-10-25) left global organisations offline for hours. Critical applications went dark, disrupting entire operations, along with the associated revenue streams and the cost of a workforce unable to work!
The Customer engaged Exponential-e to deliver a fully managed IT service, including:
The full stack solution provided excellent value to the Customer, allowing them to accelerate the disaggregation through a single supplier partnership.
The solution was fully delivered by Exponential-e delivery services - Project Management, Azure Migration Specialists, User Specialists, Service Management and Onboarding Teams over a period of eight months. This ensured the project was delivered on time and budget to meet the transition targets defined by the Customer.
Azure Stack HCI
The Good, The Bad & The Hybrid
In this exclusive whitepaper from Exponential-e's Cloud transformation specialist, James Pearce, discover how the next generation of hyperconverged infrastructure is transforming the way organisations design, deploy, and manage cutting-edge IT infrastructure, along with a proven roadmap for its successful implementation.
The customer embarked on a strategic digital transformation by migrating critical business systems from fragmented on-premises infrastructure to Microsoft Azure. This transition would not only modernise their IT operations across five European countries but also deliver significant financial savings and operational efficiencies through smart licensing and resource planning.
Throughout the transformation process, the customer faced challenges with maintaining disparate legacy systems across multiple locations, which led to inefficiencies, high operational costs, and limited scalability. They needed a unified, secure, and scalable Cloud platform to support business growth and enable remote working capabilities.
Azure Stack HCI
The Good, The Bad & The Hybrid
In this exclusive whitepaper from Exponential-e's Cloud transformation specialist, James Pearce, discover how the next generation of hyperconverged infrastructure is transforming the way organisations design, deploy, and manage cutting-edge IT infrastructure, along with a proven roadmap for its successful implementation.
Selecting the right storage architecture is essential for organisations that are leveraging Artificial Intelligence (AI), Machine Learning (ML), Big Data and IoT analytics. For example, AI applications that involve scientific and medical research create and interact with numerous large files, and therefore need a storage system that can scale to a petabyte level, with zero restrictions. Similarly, ML applications and Big Data projects require a scalable, cost-effective storage solution to accommodate the high volumes of data that will be produced. This raises the question of which storage solution enterprises should use to underpin their overall analytics strategies.
Although digital transformation amongst Legal firms has typically been comparatively slow compared to other sectors, the journey has picked up speed over the course of the last decade.
Organisations' demands of their IT infrastructure continue to evolve at an unprecedented rate, with the drive for growth and innovation needing to be balanced against the need to maintain cost control, visibility, and - crucially, cyber security. Numerous solutions have emerged in response to these challenges, but one of the most pivotal questions organisations must answer is whether to host their critical data and applications on-site, or in the Cloud.
Let's explore the respective advantages and disadvantages of both approaches, and then consider whether the increasing sophistication of modern workloads demand a new approach...
From Ambition to Enterprise Execution
Building the Foundation for Scalable AI
Turning AI into Real Operational Impact
Scaling AI with Confidence and Control