Our organization is debating whether to build our new SaaS platform using AWS-specific services like Lambda and DynamoDB or to go fully Cloud Agnostic using Kubernetes and PostgreSQL. Which approach offers the best balance between speed to market and long-term cost flexibility?
3 answers
This is a classic trade-off. Cloud Native (using AWS-specific tools) will get you to market much faster because you aren't managing the underlying infrastructure. However, you are "locked in." Cloud Agnostic (Kubernetes/Docker) gives you the freedom to move to Azure or GCP if prices rise, but the operational overhead is massive. In my previous role, we chose Cloud Native for the MVP to save time, then gradually migrated the most expensive components to agnostic containers once we had enough traffic to justify the engineering hours for a dedicated DevOps team.
Do you have a dedicated DevOps team capable of maintaining a vanilla Kubernetes cluster, or would you be relying on a managed service like EKS? Managing the control plane yourself is where most of the "agnostic" costs actually hide.
For startups, Cloud Native is almost always the right choice. The cost of developer time far outweighs the potential savings of moving clouds in the first two years.
Totally agree, Thomas. Premature optimization for "cloud hopping" has killed more projects than vendor lock-in ever has. Focus on the product first.
We don't have a large team yet, so EKS is the likely middle ground. My main concern is that if we use too many AWS-specific triggers, moving to GKE later will require a total rewrite of our backend logic. Is there a way to abstract the event-driven parts to keep them somewhat portable?