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Efficient Multi-Cloud Provisioning for AutoFX's Migration from On-Premise to Public Cloud

AutoFX, a leading automobile producer, is migrating from on-premise to public cloud environments like Azure, AWS, and GCP. Cross4Cloud provides a unified management tool to streamline service requests and provisioning across these platforms, reducing time and effort.

Background/Context

AutoFX operates significant on-premise and cloud infrastructure, relying on storage and compute services. The migration to multiple public cloud providers will improve flexibility and resilience, but requires a streamlined approach to manage service provisioning efficiently.

Business Challenge

1. Time-Consuming Provisioning: Issue: Manual provisioning processes are labor-intensive. Impact: Service deployment delays and potential inefficiencies.

Proposed Solution

Cross4Cloud's unified management tool enables AutoFX to streamline the provisioning of storage and compute services across multiple public cloud providers, improving operational efficiency.

Implementation Plan

1. Assessment and Planning: Evaluate current infrastructure and compute needs.

2. Configuration and Integration: Integrate Cross4Cloud with AutoFX’s existing ITSM tools for unified management.

3. Testing and Validation: Conduct testing to ensure seamless integration and service provisioning.

Benefits and ROI

  • Time Efficiency: Faster provisioning of services across clouds.

  • Cost Savings: Optimized resource allocation based on performance comparisons.

  • Operational Efficiency: Streamlined process reduces administrative workload.

Conclusion

Cross4Cloud simplifies AutoFX’s migration to public cloud environments by centralizing service provisioning and management, reducing time and improving operational flexibility.

Streamline Cloud Migration for AutoFX with Cross4Compute

Cross4Compute enhances AutoFX's transition from on-premise infrastructure to public cloud environments like Azure, AWS, and GCP. This unified provisioning tool optimizes service requests, significantly reducing deployment time and improving overall efficiency across multiple cloud platforms.

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