Architecting with Google Kubernetes Engine: Workloads em Português Brasileiro from Coursera

Neste curso, "Architecting with Google Kubernetes Engine: Workloads", você aprenderá a fazer operações do Kubernetes, criar e gerenciar implantações, usar as ferramentas de rede do GKE e configurar um armazenamento permanente para cargas de trabalho do Kubernetes.

O curso faz parte de uma especialização que tem como foco criar infraestruturas de computação eficientes usando o Kubernetes e o GKE. Os participantes da especialização aprendem a implantar e gerenciar aplicativos conteinerizados no GKE e nos outros serviços do Google Cloud Platform. Com apresentações, demonstrações e laboratórios práticos, os participantes conhecem e implantam elementos da solução, inclusive componentes de infraestrutura, como pods, contêineres, implantações e serviços, além de redes e serviços de aplicativo. A especialização também inclui a implantação de soluções práticas, como o gerenciamento de segurança e acesso, além do gerenciamento e monitoramento de recursos.

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What's inside

Syllabus

Introdução ao curso

Neste módulo, você conhecerá a estrutura e o layout do curso.

Operações do Kubernetes

Neste módulo, você verá o comando kubectl, que é o utilitário de linha de comando usado para gerenciar e interagir com os recursos dentro dos clusters do Kubernetes. Você aprenderá a conectá-lo aos clusters do Google Kubernetes Engine e usá-lo para criar, inspecionar, interagir e excluir pods e outros objetos nos clusters. Você também usará o kubectl para ver a resposta de um pod no console e fazer login em um pod de modo interativo.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Aborda técnicas de balanceamento de carga para atender às demandas de tráfego dos pods

Ensina como configurar armazéns de dados permanentes para workloads do Kubernetes

Guia para criar e gerenciar implantações no Kubernetes

Desenvolvido pelas equipes do Google Cloud, referências no mercado

Requisitos prévios de conhecimento em Kubernetes podem ser uma barreira para iniciantes

Faz parte de uma especialização mais ampla, o que pode exigir comprometimento de tempo adicional

Reviews summary

Arquitetando com google kubernetes engine: cargas de trabalho

De acordo com os alunos que fizeram este curso, ele oferece uma introdução sólida e uma base prática para trabalhar com Google Kubernetes Engine (GKE). Muitos destacam a qualidade dos laboratórios práticos como um ponto forte, permitindo a aplicação direta dos conceitos. A explicação sobre cargas de trabalho, rede e armazenamento permanente é considerada clara e relevante para cenários de arquitetura na nuvem. Alguns mencionam que o curso os ajudou a solidificar o entendimento sobre o Kubernetes no contexto do GCP. Embora geralmente bem recebido, alguns alunos sentiram falta de cobertura mais aprofundada em tópicos específicos.

Oferece uma base sólida para iniciantes.

"Uma excelente introdução ao GKE e como gerenciar workloads."

"Este curso me deu a base que eu precisava para começar a trabalhar com Kubernetes no GCP."

"Sinto que tenho uma base sólida após completar este curso."

"Bom ponto de partida para quem é novo em GKE."

Conteúdo útil para carreira profissional.

"O que aprendi aqui é diretamente aplicável no meu trabalho com infraestrutura cloud."

"Curso essencial para quem trabalha ou pretende trabalhar com GCP e Kubernetes."

"Me ajudou a entender melhor como arquitetar soluções conteinerizadas."

"Ferramentas e conceitos aprendidos são relevantes para o mercado."

Explicações são claras e fáceis de seguir.

"O conteúdo é apresentado de forma clara e concisa, facilitando o aprendizado."

"As explicações sobre rede e armazenamento foram muito didáticas."

"Achei que os módulos sobre kubectl e cargas de trabalho foram bem explicados."

"O curso conseguiu simplificar conceitos complexos do Kubernetes."

Hands-on activities são ponto alto do curso.

"Os laboratórios práticos foram extremamente úteis para consolidar o conhecimento teórico."

"A parte prática com o Qwiklabs fez toda a diferença para entender como o GKE realmente funciona."

"Gostei muito dos labs, me ajudaram a fixar os conceitos de deployments e services."

"As atividades práticas são bem estruturadas e relevantes."

Alguns tópicos poderiam ser mais detalhados.

"Senti falta de um aprofundamento maior em certos tópicos de rede e segurança."

"Poderia ter mais exemplos práticos de cenários complexos de deployment."

"O curso é bom para iniciar, mas para ir mais fundo, é preciso buscar outros materiais."

"Espera por mais detalhes sobre otimização e solução de problemas."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Architecting with Google Kubernetes Engine: Workloads em Português Brasileiro with these activities:

Organize course materials

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Organizing your course materials will help you stay organized and focused throughout the course.

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Create a folder for the course
Download all of the course materials
Organize the materials into subfolders

Review networking concepts

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Reviewing networking concepts will help you understand the concepts covered in the 'Network' module.

Browse courses on Networking Fundamentals

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Review the basics of networking
Practice configuring network devices
Review the basics of network security

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Career center

Learners who complete Architecting with Google Kubernetes Engine: Workloads em Português Brasileiro will develop knowledge and skills that may be useful to these careers:

Kubernetes Administrator

Kubernetes Administrators are responsible for managing and maintaining Kubernetes clusters. They work with developers and operations teams to ensure that Kubernetes clusters are running smoothly and that applications are deployed and managed efficiently. This course is a great fit for Kubernetes Administrators who want to learn more about using GKE to manage and deploy containerized applications.

See salaries and explore the career path for Kubernetes Administrator

DevOps Engineer

DevOps Engineers are responsible for bridging the gap between development and operations teams. They work to automate and streamline the software development process, and they ensure that applications are deployed and managed efficiently. This course may be useful for DevOps Engineers who want to learn more about using Kubernetes and GKE to manage and deploy containerized applications.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

Cloud Engineers are responsible for designing, building, and maintaining cloud-based infrastructure. They work with developers and operations teams to migrate applications to the cloud, and they ensure that cloud-based systems are scalable, reliable, and secure. This course may be useful for Cloud Engineers who want to learn more about using Kubernetes and GKE to manage and deploy containerized applications in the cloud.

See salaries and explore the career path for Cloud Engineer

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. They work with a variety of technologies, including Kubernetes and GKE, to build and deploy applications that are scalable, reliable, and secure. This course may be useful for Software Engineers who want to learn more about using Kubernetes and GKE to manage and deploy containerized applications.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines. They work with a variety of technologies, including Kubernetes and GKE, to build and deploy data pipelines that are scalable, reliable, and efficient. This course may be useful for Data Engineers who want to learn more about using Kubernetes and GKE to manage and deploy containerized data pipelines.

See salaries and explore the career path for Data Engineer

Network Engineer

Network Engineers are responsible for designing, building, and maintaining computer networks. They work with a variety of technologies, including Kubernetes and GKE, to build and deploy networks that are scalable, reliable, and secure. This course may be useful for Network Engineers who want to learn more about using Kubernetes and GKE to manage and deploy containerized networks.

See salaries and explore the career path for Network Engineer

Security Engineer

Security Engineers are responsible for designing, building, and maintaining security systems. They work with a variety of technologies, including Kubernetes and GKE, to build and deploy security systems that are scalable, reliable, and effective. This course may be useful for Security Engineers who want to learn more about using Kubernetes and GKE to manage and deploy containerized security systems.

See salaries and explore the career path for Security Engineer

Systems Administrator

Systems Administrators are responsible for managing and maintaining computer systems. They work with a variety of technologies, including Kubernetes and GKE, to build and deploy systems that are scalable, reliable, and secure. This course may be useful for Systems Administrators who want to learn more about using Kubernetes and GKE to manage and deploy containerized systems.

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Infrastructure Engineer

Infrastructure Engineers are responsible for designing, building, and maintaining infrastructure. They work with a variety of technologies, including Kubernetes and GKE, to build and deploy infrastructure that is scalable, reliable, and efficient.

See salaries and explore the career path for Infrastructure Engineer

Cloud Architect

Cloud Architects are responsible for designing and building cloud-based solutions. They work with a variety of technologies, including Kubernetes and GKE, to build and deploy cloud-based solutions that are scalable, reliable, and secure. This course may be useful for Cloud Architects who want to learn more about using Kubernetes and GKE to manage and deploy containerized applications in the cloud.

See salaries and explore the career path for Cloud Architect

DevOps Manager

DevOps Managers are responsible for leading and managing DevOps teams. They work with a variety of technologies, including Kubernetes and GKE, to build and deploy systems that are scalable, reliable, and efficient. This course may be useful for DevOps Managers who want to learn more about using Kubernetes and GKE to manage and deploy containerized applications.

See salaries and explore the career path for DevOps Manager

Technical Program Manager

Technical Program Managers are responsible for planning and managing technical projects. They work with a variety of technologies, including Kubernetes and GKE, to build and deploy systems that are scalable, reliable, and efficient. This course may be useful for Technical Program Managers who want to learn more about using Kubernetes and GKE to manage and deploy containerized applications.

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IT Consultant

IT Consultants are responsible for providing advice and guidance to clients on a variety of IT-related topics. They work with a variety of technologies, including Kubernetes and GKE, to help clients build and deploy systems that are scalable, reliable, and secure. This course may be useful for IT Consultants who want to learn more about using Kubernetes and GKE to manage and deploy containerized applications.

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Site Reliability Engineer

Site Reliability Engineers (SREs) are responsible for the reliability and performance of a company's online services. They work with developers and operations teams to design, build, and maintain systems that are scalable, resilient, and available. This course may be useful for SREs who want to learn more about using Kubernetes and GKE to manage and deploy containerized applications.

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Data Scientist

Data Scientists are responsible for using data to solve business problems. They work with a variety of technologies, including Kubernetes and GKE, to build and deploy data pipelines that are scalable, reliable, and efficient. This course may be useful for Data Scientists who want to learn more about using Kubernetes and GKE to manage and deploy containerized data pipelines.

See salaries and explore the career path for Data Scientist