Architecting Google Kubernetes Engine: Workloads in italiano from Coursera

What's inside

Syllabus

Introduzione al corso

In this module, you'll become familiar with the structure and layout of the course.

Operazioni di Kubernetes

In questo modulo imparerai a conoscere il comando kubectl, ossia la riga di comando utilizzata per interagire con le risorse e gestirle all'interno dei cluster Kubernetes. Imparerai inoltre come collegare il comando kubectl ai cluster Google Kubernetes Engine e utilizzarlo per creare, ispezionare, interagire ed eliminare pod e altri oggetti all'interno dei cluster Kubernetes. Lo utilizzerai anche per visualizzare l'output della console di un pod e accedere in modo interattivo a un pod.

Deployment, job e scalabilità

GKE utilizza applicazioni containerizzate, ovvero inserite in pacchetti all'interno di istanze di spazi utente isolati e indipendenti dall'hardware. In GKE e Kubernetes, queste applicazioni pacchettizzate vengono chiamate in modo collettivo carichi di lavoro. In questo modulo scoprirai deployment e job, due dei principali tipi di carichi di lavoro. Imparerai inoltre i meccanismi utilizzati per scalare i cluster GKE su cui esegui le tue applicazioni. Imparerai a controllare su quali nodi i pod possono essere o non essere eseguiti. Esplorerai inoltre i modi per distribuire software nel tuo cluster.

Networking di Google Kubernetes Engine (GKE)

In questo modulo, imparerai a creare servizi per esporre le applicazioni in esecuzione all'interno dei pod, consentendone la comunicazione con il mondo esterno, Imparerai inoltre a creare risorse Ingress per il bilanciamento del carico HTTP o HTTPS. Scoprirai inoltre di più sul bilanciamento del carico nativo del container di GKE, che ti consente di configurare direttamente i pod come endpoint di rete con Google Cloud Load Balancing.

Dati e archiviazione permanenti

In questo modulo scoprirai i diversi tipi di astrazioni dello spazio di archiviazione di Kubernetes. Imparerai cosa sono gli oggetti StatefulSet e come utilizzarli per gestire deployment ordinati di pod e spazio di archiviazione. Scoprirai inoltre come risparmiare tempo durante il deployment dell'applicazione con l'uso di oggetti ConfigMap, che disaccoppiano gli artefatti di configurazione dalle definizioni di container. Infine, imparerai a proteggere meglio le informazioni sensibili da esposizioni accidentali utilizzando i secret di Kubernetes.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Questa è la seconda di una serie di tre corsi sull'architettura con GKE

È impartito dagli istruttori di Google Cloud Training

È rivolto a chi ha già familiarità con i concetti di Kubernetes

Fornisce una solida base per l'esecuzione di operazioni Kubernetes nei cluster GKE

Insegna come creare e gestire i deployment in GKE

Spiega gli strumenti di rete di GKE

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 Google Kubernetes Engine: Workloads in italiano with these activities:

Kubernetes Command-Line Basics

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Review foundational knowledge of command-line interactions with Kubernetes to better understand the concepts addressed in the course.

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Install the kubectl command-line tool.
Connect kubectl to the GKE cluster.
List Kubernetes resources, such as pods and deployments.
Get detailed information about a specific resource, such as a pod's logs.
Execute commands inside a running container.

Kubernetes Networking Concepts

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Explore tutorials on Kubernetes networking concepts, such as services, Ingress, and load balancing, to enhance your understanding of how network traffic is managed within a GKE cluster.

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Find tutorials on Kubernetes networking from reputable sources.
Follow the tutorials to learn about creating and configuring services.
Experiment with Ingress to expose applications outside the cluster.
Configure load balancing to distribute traffic across multiple pods.

Design a Simple Deployment

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Create a Kubernetes deployment to gain hands-on experience with managing applications in a cluster, solidifying understanding of their structure and components.

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Define the deployment configuration using YAML.
Create the deployment in the GKE cluster using kubectl.
Verify the deployment's status and monitor its pods.
Scale the deployment to increase or decrease the number of replicas.
Delete the deployment and its associated resources.

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Mentor Junior Kubernetes Developers

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Share your knowledge and experience with junior developers by mentoring them on Kubernetes concepts and best practices, solidifying your own understanding while fostering the growth of others in the field.

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Identify opportunities to mentor junior developers through workshops or online forums.
Prepare materials and resources to support your mentees' learning.
Provide guidance on Kubernetes concepts, architecture, and practical implementation.
Create real-world scenarios and exercises to help mentees apply their knowledge.
Provide feedback and support to encourage mentees' progress and development.

Kubernetes Troubleshooting Exercises

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Engage in practice exercises to troubleshoot common Kubernetes issues, improving your ability to identify and resolve problems in a production environment.

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Set up a test Kubernetes cluster for experimentation.
Create a series of test scenarios that introduce common Kubernetes errors.
Use kubectl commands and logs to diagnose the errors and find solutions.
Document the troubleshooting steps and solutions for future reference.
Share your troubleshooting techniques with peers or in online forums.

Contribute to a Kubernetes Open-Source Project

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Make contributions to an open-source project related to Kubernetes, enhancing your practical skills and deepening your understanding of the technology while collaborating with the community.

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Identify a Kubernetes open-source project that aligns with your interests and skills.
Familiarize yourself with the project's codebase and documentation.
Identify an area where you can contribute, such as bug fixes or feature enhancements.
Submit a pull request with your proposed changes and provide thorough documentation.
Engage with the project maintainers to provide feedback and iterate on your contributions.

Career center

Learners who complete Architecting Google Kubernetes Engine: Workloads in italiano will develop knowledge and skills that may be useful to these careers:

Kubernetes Administrator

A Kubernetes Administrator sets up, configures, and maintains Kubernetes clusters. Once you have completed Architecting with Google Kubernetes Engine: Workloads, you will be able to use the skills you have learned to earn a position as a Kubernetes Administrator. This course teaches you how to perform Kubernetes operations, create and manage deployments, utilize GKE networking tools, and provide persistent storage for your Kubernetes workloads.

See salaries and explore the career path for Kubernetes Administrator

Cloud Engineer

Cloud Engineers design, build, and manage cloud computing systems. If you are interested in a career as a Cloud Engineer, enrolling in Architecting with Google Kubernetes Engine: Workloads would be a logical next step. This course covers how to perform Kubernetes operations, create and manage deployments, utilize GKE networking tools, and provide persistent storage for your Kubernetes workloads. These skills will make you a more knowledgeable and capable Cloud Engineer.

See salaries and explore the career path for Cloud Engineer

Site Reliability Engineer

Site Reliability Engineers, or SREs, are responsible for the reliability of software systems. With the knowledge you gain from Architecting with Google Kubernetes Engine: Workloads, you will be well-prepared to succeed as an SRE. This course teaches you how to perform Kubernetes operations, create and manage deployments, utilize GKE networking tools, and provide persistent storage for your Kubernetes workloads. These are all essential skills for SREs.

See salaries and explore the career path for Site Reliability Engineer

Software Engineer

Software Engineers design, develop, and maintain software systems. By taking Architecting with Google Kubernetes Engine: Workloads, you can gain knowledge and skills that will help you build a successful career as a Software Engineer. This course covers how to perform Kubernetes operations, create and manage deployments, utilize GKE networking tools, and provide persistent storage for your Kubernetes workloads. These skills will be in high demand as the world increasingly relies on software to run its operations.

See salaries and explore the career path for Software Engineer

Cloud Architect

Cloud Architects design and manage cloud computing systems. If you want to pursue a career as a Cloud Architect, Architecting with Google Kubernetes Engine: Workloads is one step you can take to get there. This course covers key concepts such as how to perform Kubernetes operations, create and manage deployments, utilize GKE networking tools, and provide persistent storage for your Kubernetes workloads. With this knowledge, you will be well-equipped to design and manage cloud systems.

See salaries and explore the career path for Cloud Architect

DevOps Engineer

DevOps Engineers help to bridge the gap between development and operations teams. With the skills you learn in Architecting with Google Kubernetes Engine: Workloads, you will be able to make significant contributions to a DevOps team. This course teaches you how to perform Kubernetes operations, create and manage deployments, utilize GKE networking tools, and provide persistent storage for your Kubernetes workloads. Understanding these key concepts will enable you to excel in a DevOps role.

See salaries and explore the career path for DevOps Engineer

Network Architect

Network Architects design and manage computer networks. By completing Architecting with Google Kubernetes Engine: Workloads, you can gain skills that will support you in your career as a Network Architect. This course covers how to utilize GKE networking tools, which will be essential to your success in this role. You will also learn how to perform Kubernetes operations, create and manage deployments, and provide persistent storage for your Kubernetes workloads.

See salaries and explore the career path for Network Architect

Cloud Security Engineer

Cloud Security Engineers design and implement security measures for cloud computing systems. By completing Architecting with Google Kubernetes Engine: Workloads, you will gain skills that will support you in your career as a Cloud Security Engineer. This course covers how to perform Kubernetes operations, create and manage deployments, utilize GKE networking tools, and provide persistent storage for your Kubernetes workloads. You will also learn about Kubernetes security best practices.

See salaries and explore the career path for Cloud Security Engineer

Data Engineer

Data Engineers design and manage data systems. If you are interested in this field, consider enrolling in Architecting with Google Kubernetes Engine: Workloads. This course will help you build a foundation for success as a Data Engineer. You will learn how to utilize GKE networking tools, which will be essential to your success in this role. You will also learn how to perform Kubernetes operations, create and manage deployments, and provide persistent storage for your Kubernetes workloads.

See salaries and explore the career path for Data Engineer

Computer Engineer

Computer Engineers design and build computer systems. If you would like to become a Computer Engineer, taking Architecting with Google Kubernetes Engine: Workloads would be a wise choice. This course will teach you the fundamentals of Kubernetes, including how to create and manage Kubernetes clusters. You will also learn about advanced Kubernetes concepts such as scaling and high availability.

See salaries and explore the career path for Computer Engineer

Network Engineer

Network Engineers design and manage computer networks. Enrolling in Architecting with Google Kubernetes Engine: Workloads is a great way to prepare for a career as a Network Engineer. This course covers the fundamentals of Kubernetes networking, including how to create and manage Kubernetes networks. You will also learn about advanced networking concepts such as load balancing and service discovery.

See salaries and explore the career path for Network Engineer

Cloud Administrator

Cloud Administrators manage cloud computing systems. Enrolling in Architecting with Google Kubernetes Engine: Workloads is an excellent way to prepare for a career as a Cloud Administrator. This course covers the skills you need to be successful in this role, including how to perform Kubernetes operations, create and manage deployments, utilize GKE networking tools, and provide persistent storage for your Kubernetes workloads.

See salaries and explore the career path for Cloud Administrator

IT Manager

IT Managers plan, implement, and manage information technology systems. If you are interested in a career in IT management, enrolling in Architecting with Google Kubernetes Engine: Workloads is highly recommended. This course covers the skills you need to be successful in this role, including how to perform Kubernetes operations, create and manage deployments, utilize GKE networking tools, and provide persistent storage for your Kubernetes workloads.

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Systems Administrator

Systems Administrators manage computer systems. If you aspire to be a Systems Administrator, consider taking Architecting with Google Kubernetes Engine: Workloads. This course will introduce you to the core concepts of Kubernetes and provide you with hands-on experience managing Kubernetes clusters. This knowledge and experience will give you an advantage when applying for Systems Administrator roles.

See salaries and explore the career path for Systems Administrator

IT Architect

IT Architects design and manage information technology systems. Consider enrolling in Architecting with Google Kubernetes Engine: Workloads if you would like to become an IT Architect. This course will help you build a foundation for success in this role. You will learn how to perform Kubernetes operations, create and manage deployments, utilize GKE networking tools, and provide persistent storage for your Kubernetes workloads.

See salaries and explore the career path for IT Architect

Architecting Google Kubernetes Engine

Workloads in italiano

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