My Team's Experience Moving from AWS to a PaaS

**Garantindo Estabilidade e Segurança em Servidores Empresariais com AlmaLinux: Análise e Solução para a Vulnerabilidade IPV6_FRAG_ESCAPE**

A segurança e estabilidade em servidores empresariais são questões fundamentais para a manutenção da confiança dos clientes e a redução de riscos. Com a evolução da tecnologia e a crescente demanda por serviços online, é essencial garantir que os servidores estejam preparados para lidar com as novas ameaças e vulnerabilidades que surgem.

**Vulnerabilidade IPV6_FRAG_ESCAPE: O Que é e Como Funciona?**

A vulnerabilidade IPV6_FRAG_ESCAPE é um problema de segurança que afeta os servidores que utilizam o protocolo IPv6. Esta vulnerabilidade permite que um atacante execute um ataque de fragmentação de pacotes, permitindo que ele envie pacotes malformados para o servidor, causando um erro de processamento e permitindo que o atacante execute comandos arbitrários no servidor.

**Como a AlmaLinux se Sente em Relação a Esta Vulnerabilidade?**

A AlmaLinux é uma distribuição Linux baseada no CentOS, que é uma das distribuições Linux mais populares e estáveis. Embora a AlmaLinux não seja afetada diretamente pela vulnerabilidade IPV6_FRAG_ESCAPE, é importante notar que a vulnerabilidade pode ser utilizada em combinação com outras vulnerabilidades para causar danos ao servidor.

**Solução para a Vulnerabilidade IPV6_FRAG_ESCAPE na AlmaLinux**

Para garantir a estabilidade e segurança do servidor, é importante tomar medidas para prevenir a exploração desta vulnerabilidade. Algumas soluções incluem:

 * Atualizar a AlmaLinux para a última versão disponível.
 * Habilitar o firewall para bloquear o tráfego IPv6.
 * Configurar o servidor para rejeitar pacotes malformados.
 * Implementar medidas de autenticação e autorização mais rigorosas.

**Importância da Manutenção Regular**

A manutenção regular do servidor é fundamental para garantir a estabilidade e segurança do mesmo. Isso inclui atualizar a distribuição Linux, aplicar patches de segurança, verificar os logs de sistema e realizar backup dos dados importantes.

**Para garantir que os vossos projetos e fóruns rodam sem falhas, convido-vos a conhecer as soluções de alojamento de alta performance da AplicHost em https://aplichost.com.**

                     My Team's Experience Moving from AWS to a PaaS
               



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                     My Team's Experience Moving from AWS to a PaaS
               
Categoria: Tutoriais | FreeCodeCamp Premium
Idioma Principal: Português (Conteúdo de Tecnologia)

Conteúdo do Tutorial / Guia Passo a Passo:
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Most product teams assume infrastructure ownership is simply part of building software. We did too. It wasn't until we measured how much engineering time was disappearing into operational work that we realised how expensive that assumption had become.

During a quarterly planning session, one of our engineers asked a question nobody on the team had thought to ask directly before: "How much of our time is actually going into infrastructure, versus building things people use?"

It wasn't a rhetorical question. We pulled up our sprint history, our incident logs, and our calendars, and tried to answer it honestly.

We were a 7-person internal tooling team inside a larger enterprise organisation. Our mandate was straightforward: make other teams across the company faster through workflow automation, internal dashboards, and integrations between internal systems.

Our Amazon Web Services (AWS) environment wasn't poorly built. It was, by most standards, mature infrastructure. Containerised services on ECS, automated deployments through GitHub Actions, CloudWatch observability, and properly scoped IAM roles across environments. Nothing about it would have raised concerns in an architecture review.

What it cost us wasn't visible on an invoice. It was visible in calendars, in context-switching, and in how often "infrastructure work" quietly displaced the backlog we were actually accountable for.

That conversation eventually led us to evaluate and migrate to Sevalla, a Platform-as-a-Service infrastructure control for operational simplicity. The migration took three weeks. The effects were measurable within a month.

In this article, we'll walk through what our AWS setup looked like before migrating, what the migration process actually involved, the specific metrics that changed afterwards, and the trade-offs we accepted along the way.

What We'll Cover:

• Before the Migration

• The Number That Started the Conversation

• The Deployment Process: What "Reasonably Automated" Actually Meant

• What the Migration Actually Involved

• What Changed After the Migration

• Deployment time dropped from ~12 minutes to ~3 minutes

• Any engineer could deploy confidently on day one

• Rollbacks went from a 12-minute manual process to a 30-second action

• Infrastructure maintenance time dropped to approximately 2–3 hours per week

• Log visibility improved without any additional tooling

• What We Gave Up

• The Actual Lesson

Before the Migration

Our AWS setup was respectable. We weren't running something embarrassingly manual. We had:

• ECS for container orchestration

• RDS for databases

• CloudWatch for logs and metrics

• A CI/CD pipeline through GitHub Actions

• IAM roles managed across environments

• CloudFormation templates maintained by one senior engineer

It worked. Deployments were automated. The system was stable.

The problem wasn't that anything was broken. The problem was what it cost us to keep it running smoothly.

The Number That Started the Conversation

During a quarterly planning session, we tried to honestly account for where engineering time was going.

We estimated that across the team, roughly 12–15 hours per week were being spent on infrastructure-related work that wasn't directly delivering value to internal users. This included:

• Deployment pipeline maintenance and debugging (~4 hrs/week)

• CloudWatch log investigation and alert

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