Cloud Migration Consultants Who Actually Understand Multi-Cloud and Microservices: A 2026 Buyer's Guide

A 2026 buyer’s guide to multi-cloud microservices migration argues that consultancies should be selected according to a team’s greatest challenge: Kubernetes and stateful data specialists such as Digitalis for infrastructure, enterprise MSPs and integrators such as Bespin Global and Adastra for managed operations and regulated data estates, or product-engineering firms such as Keyhole Software, Django Stars, Romexsoft, ELEKS, rtCamp, and Simform for monolith decomposition and application modernization. It cautions that many firms favor a dominant cloud despite multi-cloud claims, recommending that buyers verify real cross-cloud deployments, account and billing ownership, exit plans, Kubernetes operational experience, and the developer platform available after handover. The guide identifies cost overruns, skills shortages, Kubernetes complexity, egress charges, duplicated tooling, and environment sprawl as frequent migration risks, while emphasizing that handover failures can be more damaging than technical migration failures. It recommends outsourcing specialized, one-time work such as assessments, data cutovers, architecture design, compliance reviews, and migration rehearsals, while retaining deployment workflows, environment provisioning, RBAC, cost accountability, and on-call responsibilities in-house. Qovery is presented not as a consultancy but as a bring-your-own-cloud deployment platform that can provide self-service deployments, preview environments, RBAC, and managed Kubernetes upgrades after consultants leave. The proposed migration sequence begins with assessment and platform setup, continues through gradual service migration and later data migration, and ends with documented runbooks, cost dashboards, rollback procedures, and a shadow period to confirm that the internal team can operate the environment.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.