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    • Kubernetes

    篩選依據

    ''kubernetes'的 244 個結果

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      Google Cloud

      Architecting with Google Kubernetes Engine

      您將獲得的技能: Cloud Computing, Kubernetes, Google Cloud Platform, Cloud Platforms, Information Technology, Cloud Engineering, Web Development, Full-Stack Web Development, Computer Architecture, Cloud Storage, Distributed Computing Architecture, Cloud Infrastructure, Google App Engine, Data Management, Databases, Cloud Load Balancing, Computer Networking, Network Security, Operations Management, Software As A Service, Strategy and Operations, Big Data, Cloud Applications, Cloud Management, Extract, Transform, Load, Machine Learning Software, Network Model, SQL, Security Engineering

      4.7

      (48k 條評論)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Kubernetes: Basic Architecture and First Deployment

      您將獲得的技能: Cloud Computing, Kubernetes

      4.4

      (112 條評論)

      Intermediate · Guided Project · Less Than 2 Hours

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      Red Hat

      Cloud-Native Development with OpenShift and Kubernetes

      您將獲得的技能: Cloud Computing, Kubernetes, Change Management, Cloud Applications, Computer Architecture, Distributed Computing Architecture, Full-Stack Web Development, Leadership and Management, Strategy and Operations, Web Development, Cloud Platforms

      4.5

      (48 條評論)

      Intermediate · Specialization · 3-6 Months

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      LearnQuest

      Fundamentals of Kubernetes Deployment

      您將獲得的技能: Cloud Computing, Kubernetes, Cloud Management, Amazon Web Services, Cloud Storage, Google Cloud Platform, Microsoft Azure, Cloud Applications, Cloud Infrastructure

      4.2

      (272 條評論)

      Intermediate · Course · 1-3 Months

    • 免費

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      Amazon Web Services

      Containerized Applications on AWS

      您將獲得的技能: Amazon Web Services, Cloud Computing, Docker (Software), Kubernetes, Software Engineering, Cloud Applications, Computer Architecture, Distributed Computing Architecture, Front-End Web Development, Web Development, Communication, Journalism

      4.7

      (73 條評論)

      Beginner · Course · 1-4 Weeks

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      IBM Skills Network

      Introduction to Containers w/ Docker, Kubernetes & OpenShift

      您將獲得的技能: Cloud Computing, Kubernetes, Software Engineering, Computer Architecture, DevOps, Devops Tools, Distributed Computing Architecture, Docker (Software), Full-Stack Web Development, Web Development

      4.4

      (459 條評論)

      Beginner · Course · 1-3 Months

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      DeepLearning.AI

      Machine Learning Engineering for Production (MLOps)

      您將獲得的技能: Machine Learning, Applied Machine Learning, DevOps, Python Programming, Statistical Programming, Tensorflow, Exploratory Data Analysis, Feature Engineering, Probability & Statistics, Cloud Computing, Data Management, Data Warehousing, Extract, Transform, Load, Computer Programming, Computer Vision, Deep Learning, Business Analysis, Change Management, Computer Networking, Data Analysis, Data Visualization, Estimation, General Statistics, Leadership and Management, Machine Learning Algorithms, Network Security, Security Engineering, Security Strategy, Statistical Visualization, Strategy and Operations

      4.7

      (2.8k 條評論)

      Advanced · Specialization · 3-6 Months

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      Coursera Project Network

      Kubernetes: Create Multi-App Cluster with Ingress & Logging

      您將獲得的技能: Applied Machine Learning, Cloud Computing, Computer Vision, Kubernetes, Machine Learning, Reinforcement Learning

      4.6

      (28 條評論)

      Intermediate · Guided Project · Less Than 2 Hours

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      Google Cloud

      Getting Started with Google Kubernetes Engine

      您將獲得的技能: Google Cloud Platform, Cloud Computing, Cloud-Based Integration, Kubernetes, Cloud Applications, Cloud Load Balancing, Billing & Invoicing, Cloud Platforms, Finance

      4.5

      (3.6k 條評論)

      Intermediate · Course · 1-3 Months

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      Red Hat

      Managing Cloud-native Applications with Kubernetes

      您將獲得的技能: Change Management, Cloud Applications, Cloud Computing, Kubernetes, Leadership and Management, Strategy and Operations, Cloud Platforms

      4.7

      (18 條評論)

      Intermediate · Course · 1-4 Weeks

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      IBM Skills Network

      IBM DevOps and Software Engineering

      您將獲得的技能: Software Engineering, DevOps, Cloud Computing, Python Programming, Kubernetes, Computer Programming, Continuous Delivery, Continuous Integration, Data Analysis, IBM Cloud, Programming Principles, Web Development, Data Structures, Security Engineering, Operating Systems, Other Web Frameworks, Software Engineering Tools, Software Testing, System Programming, System Software, Algebra, Cloud Applications, Agile Software Development, Cloud Engineering, Application Development, Cloud Infrastructure, Network Security, Software Security, Computer Architecture, Devops Tools, Distributed Computing Architecture, Docker (Software), Full-Stack Web Development, Scrum (Software Development), Basic Descriptive Statistics, Cloud Management, Cloud Platforms, Cloud Storage, Data Visualization, Data Visualization Software, Exploratory Data Analysis, Security Software, Software As A Service, Algorithms, Bioinformatics, BlockChain, Business Analysis, Collaboration, Communication, Computational Logic, Computer Graphics, Computer Networking, Computer Programming Tools, Data Management, Databases, Design and Product, Entrepreneurship, Finance, Human Computer Interaction, Interactive Design, Journalism, Leadership and Management, Linux, Mathematical Theory & Analysis, Mathematics, Operations Management, Planning, Probability & Statistics, Product Design, Product Development, Project Management, SQL, Security Strategy, Software Architecture, Software Framework, Statistical Programming, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, System Security, Systems Design, Theoretical Computer Science

      4.6

      (36.4k 條評論)

      Beginner · Professional Certificate · 3-6 Months

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      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer

      您將獲得的技能: Cloud Computing, Computer Architecture, Data Management, Google Cloud Platform, Cloud Platforms, Machine Learning, Big Data, Distributed Computing Architecture, Hardware Design, SQL, Information Technology, Data Science, Apache, Cloud Storage, Extract, Transform, Load, Cloud Engineering, Cloud Management, Databases, Full-Stack Web Development, Python Programming, Web Development, Computer Programming, Statistical Programming, Applied Machine Learning, Computer Science, Computer Networking, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow

      4.6

      (17.7k 條評論)

      Intermediate · Professional Certificate · 3-6 Months

    與 kubernetes 相關的搜索

    kubernetes: basic architecture and first deployment
    kubernetes in aws: create cluster in eks in your own vpc
    kubernetes: create multi-app cluster with ingress & logging
    kubernetes engine: qwik start
    monitoring kubernetes cluster using prometheus and grafana
    deploy kubernetes load balancer service with terraform
    google kubernetes engine pipeline using cloud build
    fundamentals of kubernetes deployment
    1234…21

    總之,這是我們最受歡迎的 kubernetes 門課程中的 10 門

    • Architecting with Google Kubernetes Engine: Google Cloud
    • Kubernetes: Basic Architecture and First Deployment: Coursera Project Network
    • Cloud-Native Development with OpenShift and Kubernetes: Red Hat
    • Fundamentals of Kubernetes Deployment: LearnQuest
    • Containerized Applications on AWS: Amazon Web Services
    • Introduction to Containers w/ Docker, Kubernetes & OpenShift: IBM Skills Network
    • Machine Learning Engineering for Production (MLOps): DeepLearning.AI
    • Kubernetes: Create Multi-App Cluster with Ingress & Logging: Coursera Project Network
    • Getting Started with Google Kubernetes Engine: Google Cloud
    • Managing Cloud-native Applications with Kubernetes: Red Hat

    您可以在 Cloud Computing 中學到的技能

    Google (31)
    Google 雲端平台 (30)
    應用程序接口 (10)
    微服務 (7)
    物聯網 (6)
    雲計算安全 (5)
    Linux (4)
    統計分類 (4)
    網絡 (4)
    網絡安全 (3)
    密碼學 (3)

    關於 Kubernetes 的常見問題

    • Kubernetes is an open-source, automated configuration system for computer systems and software. It automates application deployment, scaling, and management. Though it’s open-source, many cloud services and vendors offer Kubernetes-based platforms or infrastructure service subscriptions.

      As organizations begin to increasingly see the benefits of Microservices architecture, Kubernetes is important to learn so that IT professionals can speed up the process of connecting the modules within the architecture. This makes upgrades to applications even less expensive and time-consuming than they would be with a non-automated Microservices setup.‎

    • According to TechRepublic, searches for jobs in Kubernetes grew by 2,125 percent between October 2015 and October 2019—indicating that the open-source configuration system is one hot skill to have! Companies like IBM, VMware, Microsoft, Verizon, and others are among the top employers seeking Kubernetes aficionados.

      It’s been said that Kubernetes comes with a learning curve, and likely because of this, successful learners can find themselves earning an average of $147,732 per year. This may vary by Kubernetes-related title, but the plus side is there are a wide variety of opportunities—from Developer, to Systems Engineer, to Technical Writer, to Marketing Project Manager.‎

    • Kubernetes courses offered through Coursera equip learners with knowledge in implementing solutions using Google Kuberntes Engine; gaining hands-on experience with Kubernetes concepts; understanding Kubernetes methods and concepts; and more.

      Lessons on Kubernetes are taught by instructors from major tech names including Google Cloud, LearnQuest, and other organizations. Learners can enjoy exploring course content on Kubernetes delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.‎

    • Before starting to learn Kubernetes, you'll need to have a basic understanding of YAML, Linux, and command lines. For Linux, you'll especially want to know the basic commands commonly used with containers. You should also have a foundational knowledge of the languages used for transferring and storing data, such as JSON and XML. Experience with cloud technologies may give you a solid background for starting to learn Kubernetes as well.‎

    • According to TechRepublic, five places that have posted the highest percentage of job listings for people with a background in Kubernetes are IBM, which offers its IBM Cloud Kubernetes Service; VMware, which has integrated Kubernetes into its server virtualization platform called vSphere; Microsoft, which offers its Azure Kubernetes Services (AKS) in the Microsoft Azure cloud computing platform; Verizon, which is increasing its use of Kubernetes; and Cisco, which has its Hybrid Solution for Kubernetes on Amazon Web Services (AWS). Typical places that hire people with a background in Kubernetes include e-commerce companies, computer software companies, AI firms, aerospace companies, educational platforms for video streaming and media management, and financial technology companies, among many others.‎

    • If you're an IT professional interested in improving your skillset and job prospects, Kubernetes is likely right for you. Professionals who learn and use Kubernetes to improve their skills include DevOps engineers, cloud engineers, systems engineers, site reliability engineers, software engineers, software architects, and full-stack developers, for example.‎

    • An IT professional who is adding Kubernetes to their skillset is likely interested in advancing their career. Likewise, keeping up with additional IT skills is important. Those related to Kubernetes include studying the 12-factor application methodology that microservices architecture is based on, CI/CD, distributed systems, and competing orchestration technologies. Another related topic to study is, of course, containers as well as relevant programming languages, such as Go, Docker, and rkt. Studying automation and configuration management tools like Ansible and Terraform is also a related option.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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