
Terraform vs Pulumi vs CDK in 2026: What We Actually Use and Why
Three tools that claim to solve the same problem. Here is what the differences actually mean in practice, and when each one makes sense.
These five problems appear in almost every startup we audit. None requires a rewrite to fix. Each has a focused solution that takes one to two days.
Every quarter we audit three to five startups before starting an engagement. The same five problems appear across almost every one of them, regardless of stack, team size, or funding stage. None of these requires a rewrite. Each has a focused fix that takes one to two days of senior engineering time.
The most common problem and the most dangerous. When deployments originate from a developer's laptop, you have zero reproducibility, zero visibility, and zero rollback capability. Any change to the developer's environment can silently change production behavior. Deployments cannot happen when that developer is unavailable.
Staging is not a luxury. It is the gate between your broken code and your paying customers. Startups without a staging environment test in production, which means every deploy is a gamble. When something breaks, it breaks live.
If your customers are your monitoring system, you are always behind. By the time a customer reports an error, they have already experienced degraded service, considered churning, and possibly told someone else. You are managing a customer trust problem on top of an infrastructure problem.
We have found production database credentials in Slack messages, in shared Google Docs, and hardcoded in repositories that were public at some point. Every one of these is a security incident waiting to happen. Shared credentials in chat also make it impossible to audit who has access to what.
A bug in your billing page should not take down your authentication flow. When the entire application deploys as a single unit, a bad release anywhere means a bad release everywhere. This is not an argument for microservices at startup scale. It is an argument for feature flags, which let you deploy code without activating it, roll out to a percentage of users, and roll back a feature without reverting the entire deployment.
These five problems are not caused by bad engineers. They are caused by teams moving fast and treating infrastructure as someone else's problem until it becomes everyone's problem. All five are fixable in a single focused sprint. The question is whether you fix them before or after the incident that forces the conversation.
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