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.

Implantações, jobs e escalonamento

O GKE funciona com aplicativos conteinerizados, que são empacotados em instâncias de espaço do usuário isoladas e independentes de hardware. No GKE e no Kubernetes, esses aplicativos empacotados são chamados coletivamente de cargas de trabalho. Neste módulo, você aprenderá sobre implantações e jobs, dois dos principais tipos de carga de trabalho. Você também verá os mecanismos usados para escalonar os clusters do GKE em que seus aplicativos são executados. Você aprenderá a controlar em quais nós os pods podem ou não ser executados. Além disso, você verá maneiras de transferir software para o cluster.

Rede do Google Kubernetes Engine (GKE)

Neste módulo, você aprenderá a criar serviços para expor os aplicativos em execução em pods e permitir que eles se comuniquem externamente. Você também verá como criar recursos da Entrada para balanceamento de carga HTTP ou HTTPS. Além disso, você aprenderá sobre o balanceamento de carga nativo de contêiner do GKE para configurar pods diretamente como endpoints de rede com o Google Cloud Load Balancing.

Armazenamento e dados permanentes

Neste módulo, você aprenderá sobre os vários tipos de abstrações de armazenamento do Kubernetes. Você conhecerá os StatefulSets e aprenderá a usá-los para gerenciar as implantações ordenadas de pods e o armazenamento. Você também verá como os ConfigMaps desvinculam os artefatos de configuração das definições de contêiner para agilizar a implantação de aplicativos. Por fim, você aprenderá a proteger ainda mais as informações confidenciais contra exposição acidental usando secrets do Kubernetes.

Good to know

Know what's good

, what to watch for

, 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

Kubernetes workloads in portuguese

This Portuguese language course on Kubernetes Workloads is for those wishing to learn how to conduct Kubernetes operations and manage deployments. Students will learn how to use GKE networking tools and configure storage for Kubernetes workloads.

In-depth look at Kubectl

"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."

Covers types of workloads and how to scale clusters

"Você aprenderá sobre implantações e jobs, dois dos principais tipos de carga de trabalho."

Learn to set up services and LB

"Você aprenderá a criar serviços para expor os aplicativos em execução em pods e permitir que eles se comuniquem externamente."

Covers lots of material but can be overwhelming

"muito extenso"

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

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

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.

See salaries and explore the career path for IT Consultant

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.

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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.

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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.

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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.

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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.

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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.

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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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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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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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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.

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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.

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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.

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