Automating AWS Provisioning Through ServiceNow Integration for Enhanced Efficiency and ROI

aws-sn-provisioning

USDM successfully automated provisioning for the mid-sized therapeutics company, achieving efficiency, cost savings, and scalability.

A mid-sized therapeutics company needed an automated provisioning process for AWS Workspaces and virtual servers, triggered through ServiceNow user requests. Their internal capabilities lacked streamlined auto-provisioning, prompting them to seek expertise from USDM, which provided high-level ServiceNow integration skills.

Key Project Requirements:

  • REST integration between AWS Cloud and ServiceNow with secure transactions (OAuth).
  • Automation of provisioning processes to improve efficiency.
  • Error Handling & Monitoring to track and resolve issues dynamically.

USDM’s Approach & Solution

USDM delivered a bi-directional REST integration between AWS and ServiceNow, allowing for secure, automated transactions. Key implementation steps included:

  • Building a Secure Integration:
    • Ensured OAuth-based secure transactions between AWS and ServiceNow.
    • Established data exchange protocols for provisioning requests.
  • Automating Provisioning Requests:
    • ServiceNow now automatically triggers AWS provisioning upon user request.
    • Virtual servers and Workspaces are provisioned without manual intervention.
  • Error Tracking and Monitoring:
    • Implemented automated error detection and logging.
    • Enabled real-time issue resolution, reducing downtime.

Project Challenges

  • Security Concerns: Ensuring secure transactions between AWS and ServiceNow was a priority.
  • Complexity of Integration: Establishing a bi-directional connection between the two platforms required expertise in both AWS and ServiceNow.
  • Change Management: Adapting internal workflows to new automation processes required staff training.

Results & Business Impact

  • 20% ROI: Achieved due to reduced manual intervention and automation.
  • Improved Workflow Efficiency: Provisioning tickets are now processed seamlessly, reducing turnaround time.
  • Scalability: The solution enables future growth without additional manual provisioning.

Conclusion & Key Takeaways

USDM successfully automated provisioning for the mid-sized therapeutics company, achieving efficiency, cost savings, and scalability. By incorporating best practices in case study methodology, this analysis provides a comprehensive view of technical, business, and sociological impacts.

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