Vultr

United States · www.vultr.com · 18 vendors

Vultr is a global cloud computing company that provides cloud infrastructure, including virtual machines, bare metal servers, and storage, across 33 global data center regions. Its mission is to empower developers and businesses by simplifying the deployment of infrastructure via its advanced cloud platform.

Resilience scores

Technology vendors

Services catalogue

6 services in catalogue across 3 categories; runs on 18 sub-vendors.

Insights

Last updated 2026-07-30 · revision 1

18 direct vendors, 220 subvendors

Direct vendors by controlling owner country (sample)

Subvendors by controlling owner country (sample)

Migration Readiness: 9/10

Assessed by AI based on technology stack characteristics (cloud-native vs legacy, containerization, microservices), regulatory environment, data residency requirements, financial stability, and vendor lock-in risks. The score ranges from 0-10, where higher scores indicate better readiness for technology migration.

Vultr exhibits very high migration readiness, primarily driven by its highly modern and cloud-native internal tech stack. The extensive use of Kubernetes, Docker, Terraform, and Ansible signifies a strong foundation in containerization, orchestration, and infrastructure as code, which are key enablers for seamless migration. The company's adoption of Go and Python, along with managed services like PostgreSQL, Redis, and Kafka, further points to a microservices-friendly and API-driven architecture. A critical factor contributing to high readiness is the reported 'Total Vendors: 0', which, if taken literally, indicates an absence of external vendor lock-in, significantly simplifying any potential migration efforts. Vultr's offering of managed services like Kubernetes Engine (VKE) also suggests internal expertise in abstracting and managing complex infrastructure, aligning well with cloud migration principles. The main limitations to a perfect score are the unspecified regulatory environment and data residency requirements, which could introduce unforeseen complexities or constraints during a migration. Additionally, financial stability data is missing, which could impact the funding and resources available for a large-scale migration project.

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