Cloud Technologies

Storm Clouds Ahead: Missed Expectations in Cloud Computing

Exploring Why Some Workloads Are Returning On-Premises
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Cloud computing has been heralded as the panacea for modern IT challenges, promising scalability, flexibility, and cost savings. However, as the cloud landscape matures, many organizations are finding that the reality of cloud adoption does not always align with their expectations. This has led to a growing trend of repatriating workloads back to on-premises or private cloud environments. In this article, we will explore the reasons behind these missed expectations and why some businesses are choosing to bring their cloud workloads back home.

The Promise vs. Reality of Cloud Computing

Cost Overruns

One of the primary drivers for cloud adoption has been the promise of cost savings. However, many organizations are finding that their cloud spending is exceeding initial estimates. According to IDC’s Cloud Pulse 4Q 2023 survey, close to half of cloud buyers spent more on cloud than they expected in 2023, with 59% anticipating similar overruns in 2024. The complexities of cloud environments, coupled with unforeseen external influences, make it challenging to forecast costs accurately. Factors such as the increasing cost of third-party services, energy costs, and the financial implications of new technologies like GenAI are contributing to these budget blowouts.

Performance and Latency Issues

While cloud providers offer robust infrastructure, not all workloads are suited for the cloud. Performance and latency issues are common complaints, particularly for applications that require real-time processing or have stringent performance requirements. For instance, technical and AI-related workloads often experience performance bottlenecks in public cloud environments, prompting organizations to consider repatriation.

Security and Compliance Concerns

Data security and regulatory compliance are critical considerations for any organization. Despite the advanced security measures offered by cloud providers, many businesses remain concerned about data breaches and compliance with industry regulations. This is particularly true for sectors like finance and healthcare, where data privacy is paramount. As a result, production data and backup/disaster recovery processes are among the most repatriated elements of workloads.

Complexity in Management

Managing a multi-cloud or hybrid cloud environment can be incredibly complex. Organizations often struggle with integrating different cloud services, managing data across multiple platforms, and ensuring consistent security policies. This complexity can negate the perceived benefits of cloud adoption, leading some businesses to reconsider their cloud strategies.

The Repatriation Trend

What is Repatriation?

Repatriation refers to the process of moving workloads from public cloud environments back to on-premises or private cloud infrastructure. This trend is part of a broader industry movement towards hybrid multi-cloud IT strategies, where organizations seek to optimize their workload placement across various environments.

Drivers for Repatriation

Several factors drive the decision to repatriate workloads:

  1. Cost Management: As mentioned earlier, unexpected cost overruns in the cloud can make on-premises solutions more attractive. By repatriating workloads, organizations can gain better control over their IT spending.
  2. Performance Optimization: For workloads that require high performance and low latency, on-premises infrastructure can offer superior performance compared to public cloud environments.
  3. Security and Compliance: Repatriating sensitive data and critical applications can help organizations meet stringent security and compliance requirements more effectively.
  4. Operational Control: Having workloads on-premises allows for greater control over IT operations, enabling organizations to tailor their infrastructure to specific needs and optimize resource utilization.

The Scale of Repatriation

While repatriation is a growing trend, it is not a wholesale migration. According to IDC’s Server and Storage Workloads Survey, only 8-9% of companies plan full workload repatriation. Instead, most organizations repatriate specific elements of their workloads, such as production data, backup processes, and compute resources.

Larger Organizations Leading the Way

Larger organizations are more active in repatriating workloads compared to smaller businesses. This is due to their greater resources, larger workloads, and more complex IT environments. Economic factors and comprehensive workload strategies also play a role in driving repatriation activities among large enterprises.

Conclusion

The initial promise of cloud computing has not been fully realized for many organizations, leading to missed expectations and a growing trend of workload repatriation. Cost overruns, performance issues, security concerns, and management complexities are some of the key factors driving this shift. While the cloud remains a vital component of modern IT strategies, businesses are increasingly adopting a hybrid approach, optimizing their workload placement across public cloud, private cloud, and on-premises environments.

As the cloud landscape continues to evolve, organizations must carefully assess their cloud strategies, balancing the benefits of cloud adoption with the realities of their specific needs and challenges. By doing so, they can make informed decisions about where to best deploy their workloads, ensuring they achieve the desired outcomes without compromising on cost, performance, or security.


References:

IDC #US52018924 (April 2024), “Why Are So Many Cloud Buyers Blowing Their Cloud Budgets?”

IDC #US50858223 (June 2023), “Larger Organizations Show Greater Activity in Repatriating Compute Resources from Public Cloud”

IDC #US51930724 (March 2024), “Data, Compute, or Development Process — What Elements of Workloads Companies Repatriate More Often”

IDC #US50779123 (June 2023), “Enterprises of Different Sizes Show Similar Levels of Interest in Repatriating Storage Resources from the Public Cloud”

Daniel is a senior practitioner in both the end-user consulting practice and the CIO/End-User Research Practice at IDC. He supports boards, business leaders, and technology executives in their efforts to architect, benchmark, and optimize their organization's information technology. He also provides guidance to business and technology executives on how to leverage technology to achieve innovative and disruptive business outcomes.