Our lead architect is pushing for a cloud-agnostic strategy using Terraform and Kubernetes to ensure we can move between AWS and Azure easily. However, I feel we are missing out on powerful native services like DynamoDB or CosmosDB. Is the overhead of staying cloud-agnostic worth it in 2025, or should we just go cloud-native to move faster?
3 answers
This is the classic "Portability vs. Efficiency" debate. Cloud-native allows you to leverage "out-of-the-box" features like automated scaling, managed backups, and deep integration, which speeds up time-to-market. Cloud-agnostic, while safer against vendor price hikes, requires a lot of "glue code" and management overhead. In 2025, most successful companies adopt a "80/20" rule: use native services for non-critical parts but keep the core application logic in containers (Kubernetes) so it remains portable if needed.
Are you factoring in the training costs for your DevOps team to manage a complex, agnostic abstraction layer across multiple providers?
In my experience, 95% of companies that build "agnostic" systems never actually switch providers because the migration cost is still too high.
Spot on, Susan. It’s often better to go "all-in" on one provider and negotiate a better enterprise discount than to build a mediocre system that works everywhere.
Daniel, the training cost is often the "hidden killer." Managing a custom Kubernetes cluster across clouds is much harder than using a managed service like EKS or AKS. If your team isn't already expert-level with K8s and Terraform, you'll spend more on salaries and downtime than you would ever save by avoiding vendor lock-in. Native services usually offer better SLAs too.