Normalized claim
Cloud operating costs: 15% decrease
reduced cloud operating costs by 15 percent
Service Stream accelerates VMware migration with AWS Transform agentic AI
Use case typeCloud migrationUpdated 5 days ago
Service Stream used AWS Transform with SourceFuse to migrate VMware workloads from VMware Cloud on AWS to native AWS services. The project automated dependency discovery, wave planning, and validation for about 107 virtual servers to reduce risk and meet a fixed renewal deadline.
- Organization
- Service Stream
- Industry
- Other
- Location
- Australia
- Published
- July 2026
Reported outcomes
−15%
cloud operating costsCost savings
−20%migration duration
Strategic outcomes
Risk & complianceReduced migration risk and disruptionCost efficiencyImproved cloud cost visibilitySpeed & agilityMet the renewal deadline with a faster migration plan
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Migration duration: 20% decrease
complete the migration 20 percent faster than traditional methods
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Service Stream
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Solutions Case Study
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1Cloud migration
- 2Infrastructure modernization
- 3Workflow automation
- Rising VMware licensing costs
- Approaching VMware Cloud license renewal deadline
- Limited documentation and unclear application dependencies
- Used AWS Transform agentic AI to automate discovery, dependency mapping, and migration planning
- Mapped application interdependencies across approximately 107 virtual servers
- Generated an optimized migration plan across 14 migration waves and validated cutover on Amazon EC2
Technologies
- Reduced cloud operating costs by 15%
- Completed the migration 20% faster than traditional methods
- Reduced migration risk and disruption across critical workloads
Architecture
SourceFuse, an AWS Partner and launch partner for AWS Transform, used specialized AI agents in AWS Transform to automate server inventory, application dependency mapping, workload sequencing, and migration planning across roughly 107 virtual servers. The plan spanned 14 migration waves and included validation, continuous syncing, and final cutover on Amazon EC2.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jul 23, 2026Publisher: AWSEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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