RapidScale —
Managed AWS, Azure & GCP With Productized DaaS, IaaS, DRaaS & AI/ML

RapidScale is positioned for mid-market and enterprise organizations whose operating model requires managed cloud across hyperscalers (AWS, Azure, Google Cloud) plus productized DaaS, IaaS, DRaaS, BaaS, and Microsoft 365 — delivered by a single operator with the operational depth of 200+ certified experts and 1,700+ accreditations. The strongest fit is buyers that intend to keep workloads on multiple clouds indefinitely, that need a unified portal across multi-cloud environments, and that want managed-services-grade operations on top of the hyperscaler relationships they already have. RapidScale is part of the Cox umbrella — providing the operator-stability and integrated-network posture that comes with a Tier-1 telecom and managed-services parent.

RapidScale's Managed IT portfolio runs Desktop-as-a-Service (DaaS), Infrastructure-as-a-Service (IaaS), Disaster Recovery-as-a-Service (DRaaS), Backup-as-a-Service (BaaS), and Microsoft 365 management as productized programs operated by the same engineering team. That integration matters because the customer's continuity posture, end-user computing, and core infrastructure are not three separate vendor relationships — DaaS workloads are protected by the same DRaaS framework that protects IaaS, and Microsoft 365 backup integrates with the broader BaaS retention posture. The model is built for organizations that have outgrown best-of-breed-but-disconnected point products and want a single operator on the hook for the operational layer.

RapidScale operates as a managed-services partner across AWS, Azure, and GCP — meaning the customer keeps the hyperscaler relationship and any negotiated EA or commit-pricing benefits, while RapidScale wraps the operational layer (provisioning, security baseline, cost optimization, monitoring, 24x7 operations) on top. The 200+ certified experts with 1,700+ accreditations are the structural reason RapidScale operates at managed-services depth across all three hyperscalers rather than specializing in one. The right fit for organizations whose IT teams own the hyperscaler relationship but cannot economically staff a dedicated multi-cloud operations practice.

RapidScale's Cloud Migration & Management practice covers the strategy, architecture, migration execution, and ongoing operations for workloads moving from on-premises (or from one cloud) into AWS, Azure, GCP, or RapidScale's own managed-cloud platform. Common engagements: lift-and-shift migrations for mid-market enterprises whose data center leases are expiring; refactoring engagements for SaaS-bound workloads; multi-cloud landing-zone design for organizations standardizing their cloud-operations posture; and DR-driven migrations where the cloud is the secondary site rather than the primary. RapidScale stays on the engagement post-migration as the managed-services operator — the right fit for buyers that want one accountable operator across migration and steady-state.

RapidScale's AI / ML practice is built around the operational reality that most mid-market and enterprise customers want AI / ML benefits without standing up a dedicated platform team. The model covers AI / ML platform deployments on AWS, Azure, and GCP (Bedrock, SageMaker, Azure OpenAI, Azure AI Foundry, Vertex AI) — RapidScale handles the underlying provisioning, security baseline, cost monitoring, and integration with the customer's data estate. Appropriate for organizations whose AI ambitions exceed what their IT team can support directly but that do not want to commit to a hyperscaler-specific deployment without managed-services support around it.

No. Your contract is signed directly with RapidScale and RapidScale's published pricing applies. Fibi's role is to scope your managed-cloud, DaaS, DRaaS, or AI / ML objective against RapidScale and the most relevant alternatives — LightEdge, TierPoint, Flexential, Expedient, OTAVA, Rackspace Technology, and major hyperscaler-only managed-services partners — so you see how RapidScale's integrated multi-cloud and DaaS posture compares. Fibi's advisory work is provider-funded, so the comparison and multi-vendor sourcing come at no additional cost.