Cloud repatriation
What is cloud repatriation?

Cloud repatriation refers to the process of moving applications, data, and workloads back from public cloud providers (like AWS, Azure, or GCP) to on-premises infrastructure, private clouds, or other alternative hosting environments. 

This shift often occurs due to factors such as cost optimization, data security concerns, compliance requirements, or the need for greater control over infrastructure and data.

Two engineers discussing the cloud repatriation.
  • Why do organizations consider cloud repatriation?
  • What are the benefits of cloud repatriation?
  • What are the challenges and risks associated with cloud repatriation?
  • What are the key steps in the cloud repatriation process?
  • What are some common use cases for cloud repatriation?
  • How does cloud repatriation impacts data security and compliance?
  • What are the cost implications of cloud repatriation?
  • How can organizations assess whether cloud repatriation is right for them?
  • What are the long-term implications of cloud repatriation?
  • What role does hybrid cloud infrastructure play in cloud repatriation?
  • How can HPE cloud repatriation drive innovation and business growth?
Why do organizations consider cloud repatriation?

Why do organizations consider cloud repatriation?

Cost management

  • Unpredictable costs: Organizations often migrate to the cloud anticipating cost savings but can face unexpected costs such as fluctuating usage patterns, data egress fees, and cumulative service costs.
  • Cost control: Repatriating workloads from the cloud to on-premises infrastructure helps provide cost predictability, control over resources, helping avoid cost overruns associated with cloud services, and lower long-term costs, particularly for data-intensive or latency-sensitive applications performance and latency.
  • Application performance: Certain applications may experience better performance when hosted on-premises, particularly those that require low latency or have high input/output operations per second (IOPS).
  • Latency sensitivity: Applications that are sensitive to latency, such as real-time data processing or high-frequency trading platforms, may benefit from being closer to end-users or data sources.

Data security and compliance

  • Regulatory compliance: Heavily regulated industries usually require strict adherence to data residency and compliance standards, which can be effectively managed with on-premises infrastructure.
  • Data sovereignty: Ensuring control over sensitive data to favor keeping workloads in-house.

Control and customization

  • Infrastructure control: On-premises environments allow greater control over hardware, software, and network configurations, enabling tailored infrastructure setups.
  • Customization needs: Specialized workloads require unique hardware or configurations that public cloud environments cannot easily support.

Vendor lock-in

  • Avoiding dependency: Reliance on a single cloud provider introduces risks like pricing changes, service disruptions, and proprietary technology constraints.
  • Multicloud strategy: Repatriation supports a broader approach that enables workload distribution across environments to mitigate vendor lock-in risks.

Data transfer and integration

  • Data transfer costs: Transferring large volumes of data to and from the cloud can be costly and complex.
  • Integration challenges: Combining cloud-based workloads with on-premises systems can add latency and complexity, making repatriation appealing.

Operational efficiency

  • Resource optimization: Organizations with strong on-premises infrastructure can optimize costs and performance by utilizing existing resources rather than maintaining parallel cloud environments.
  • Skill sets: On-premises management leverages existing IT team expertise, avoiding the need for extensive retraining to manage cloud systems.

Cloud solutions

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Related topics

Hybrid cloud

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On-premises vs. cloud

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Private cloud

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