AWS Automated the Migration. Nobody Automated the Day After.
Blog post from Qovery
AWS Transform is presented as substantially accelerating cloud migration by automating portfolio assessment, migration-wave planning, containerization, server rehosting, landing-zone setup, and infrastructure-as-code generation, with AWS-reported reductions from months or weeks to hours or days. However, the discussion argues that these tools, like Azure Migrate and Google Cloud Migration Center, stop largely at cutover and do not address ongoing “day-two” responsibilities such as self-service environments, per-team access controls, preview deployments, cost attribution, cluster maintenance, and non-production resource management. As agentic tooling reduces the estimated effort required to replatform hundreds of applications into containers and Kubernetes, the traditional cost advantage of lift-and-shift migration may narrow, while operational complexity shifts to platform teams or on-call engineers. The proposed response is to establish a funded, named operating team and an internal developer platform before migration completion, whether built internally with tools such as Backstage or obtained through platforms including Humanitec, Port, or Qovery, so developers and AI agents can manage governed environments through scoped permissions, audit trails, and reliable teardown processes.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Platform Engineering | 28 | 358 | 65 | 25 | -70% |
| Kubernetes | 12 | 956 | 75 | 30 | -73% |
| AI Agents | 5 | 931 | 231 | 103 | -84% |
| MCP | 3 | 2,241 | 148 | 72 | -74% |
| Secrets Management | 1 | 451 | 99 | 43 | -80% |
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