Cloud doesn’t scale immature teams — but why?

Marcelo Scheidt
Marcelo Scheidt
Verified Author Verified Author
18 June

In recent years, cloud has become almost an automatic answer in any technical discussion. Need to scale? Cloud. Need agility? Cloud. Need to modernize? Cloud again. At some point, this started to sound like a universal solution. But there’s a detail that people seem to forget: the cloud doesn’t solve engineering problems, it exposes them. And depending on the scenario, it exacerbates them.

The problem has never been the technology itself. The problem is the expectation that it will transform an immature team into an efficient one. That simply doesn’t happen.

The Abstraction That Deceives

One of the biggest attractions of the cloud has always been abstraction. Infrastructure is no longer a slow process, creating environments has become trivial, and scaling resources has become almost automatic. All of this is real. But along with this ease comes a silent illusion: when everything becomes easy to create, it also becomes easy to lose control. Without governance, without standards, and without clarity in decisions, each person begins to solve problems in their own way. What seemed like agility begins to turn into disorganization, not explicitly, but cumulatively.

Immaturity doesn’t appear as an isolated event. It emerges gradually, at specific points. And the cloud accelerates exactly this process.

  • Non-existent governance becomes an invisible cost

Creating resources is too simple. A bucket here, an instance there, a database that starts as temporary and never disappears. Without a minimum of control, the environment grows organically, and when you realize it, nobody understands exactly what’s running anymore. The cost increases, of course. But the biggest problem isn’t even financial. It’s the loss of clarity about the system itself.

  • Lack of ownership turns everything into diffuse responsibility

Na cloud, tudo pode ser compartilhado. Mas isso não significa que alguém está cuidando. Quem é dono da infraestrutura? Quem responde por incidentes? Quem define os padrões?

Quando essas respostas não existem, o ambiente vira uma zona cinzenta. E no momento em que algo quebra, o tempo não é gasto resolvendo o problema, é gasto tentando entender de quem é o problema.

  • DevOps without maturity becomes fragile automation

Pipeline is not maturity. Automating deployment without understanding the delivery flow only accelerates errors. Without consistency and best practices, what should bring security becomes merely a mechanism for quickly propagating failures. You don’t gain predictability. You only gain speed.

  • Reactive architecture creates distributed complexity

Here’s where a pattern that has become almost the rule comes in: microservices. Without a clear domain, without well-defined limits, and without well-distributed responsibility, they stop solving problems and start creating new ones. The cloud makes this path much easier. Creating new services is simple. The difficult part is maintaining consistency between them — and that requires a level of maturity that many teams still don’t have.

Cloud doesn’t teach best practices. It doesn’t improve communication. It doesn’t solve decision-making. It only accelerates what already exists. If the team is organized, it enhances it. If the team is immature, it exposes it.

Perhaps the most common mistake is trying to solve maturity with technology. Before scaling architecture, you need to scale clarity. Before scaling infrastructure, you need to scale responsibility. Before scaling systems, you need to scale the team itself.

The cloud doesn’t fail. What fails is the expectation placed upon it.

Marcelo Scheidt
Marcelo Scheidt
Verified AuthorVerified Author

Senior Principal Engineer at Zallpy, a software engineer with over 15 years of experience in systems engineering, architecture, and infrastructure, working on defining technical vision and architectural strategies for complex, large-scale solutions. He currently serves as Senior Principal Engineer at Zallpy, where he leads the architectural evolution across multiple domains, supports executives in technical decision-making, conducts maturity and risk assessments, and develops technical leadership by mentoring senior engineers, consistently connecting cloud-native architectures, modern DevOps practices, and engineering excellence to business objectives.

Senior Principal Engineer at Zallpy, a software engineer with over 15 years of experience in systems engineering, architecture, and infrastructure, working on defining technical vision and architectural strategies for complex, large-scale solutions. He currently serves as Senior Principal Engineer at Zallpy, where he leads the architectural evolution across multiple domains, supports executives in technical decision-making, conducts maturity and risk assessments, and develops technical leadership by mentoring senior engineers, consistently connecting cloud-native architectures, modern DevOps practices, and engineering excellence to business objectives.