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    • Kubernetes

    필터링 기준

    "kubernetes"에 대한 244개의 결과

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      Google Cloud

      Architecting with Google Kubernetes Engine

      획득할 기술: 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

      (47.9k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Kubernetes: Basic Architecture and First Deployment

      획득할 기술: Cloud Computing, Kubernetes

      4.4

      (112개의 검토)

      Intermediate · Guided Project · Less Than 2 Hours

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      LearnQuest

      Fundamentals of Kubernetes Deployment

      획득할 기술: Cloud Computing, Kubernetes, Cloud Management, Amazon Web Services, Cloud Storage, Google Cloud Platform, Microsoft Azure, Cloud Applications, Cloud Infrastructure

      4.2

      (272개의 검토)

      Intermediate · Course · 1-3 Months

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      Red Hat

      Cloud-Native Development with OpenShift and Kubernetes

      획득할 기술: 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

      (48개의 검토)

      Intermediate · Specialization · 3-6 Months

    • 무료

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      Amazon Web Services

      Containerized Applications on AWS

      획득할 기술: 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

      (70개의 검토)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      Machine Learning Engineering for Production (MLOps)

      획득할 기술: 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

      (2.7k개의 검토)

      Advanced · Specialization · 3-6 Months

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      IBM Skills Network

      Introduction to Containers w/ Docker, Kubernetes & OpenShift

      획득할 기술: Cloud Computing, Kubernetes, Software Engineering, Computer Architecture, DevOps, Devops Tools, Distributed Computing Architecture, Docker (Software), Full-Stack Web Development, Web Development

      4.4

      (458개의 검토)

      Beginner · Course · 1-3 Months

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      Coursera Project Network

      Kubernetes: Create Multi-App Cluster with Ingress & Logging

      획득할 기술: Applied Machine Learning, Cloud Computing, Computer Vision, Kubernetes, Machine Learning, Reinforcement Learning

      4.6

      (28개의 검토)

      Intermediate · Guided Project · Less Than 2 Hours

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      Google Cloud

      Getting Started with Google Kubernetes Engine

      획득할 기술: Google Cloud Platform, Cloud Computing, Cloud-Based Integration, Kubernetes, Cloud Applications, Cloud Load Balancing, Billing & Invoicing, Cloud Platforms, Finance

      4.5

      (3.6k개의 검토)

      Intermediate · Course · 1-3 Months

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      IBM Skills Network

      IBM DevOps and Software Engineering

      획득할 기술: 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

      (36.3k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer

      획득할 기술: 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

      (17.7k개의 검토)

      Intermediate · Professional Certificate · 3-6 Months

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      Red Hat

      Managing Cloud-native Applications with Kubernetes

      획득할 기술: Change Management, Cloud Applications, Cloud Computing, Kubernetes, Leadership and Management, Strategy and Operations, Cloud Platforms

      4.7

      (18개의 검토)

      Intermediate · Course · 1-4 Weeks

    kubernetes과(와) 관련된 검색

    kubernetes: basic architecture and first deployment
    kubernetes in aws: create cluster in eks in your own vpc
    kubernetes engine: qwik start
    kubernetes: create multi-app cluster with ingress & logging
    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

    요약하자면, 여기에 가장 인기 있는 kubernetes 강좌 10개가 있습니다.

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

    Cloud Computing에서 학습할 수 있는 스킬

    Google (31)
    Google Cloud Platform (30)
    애플리케이션 프로그래밍 인터페이스 (10)
    마이크로서비스 (7)
    사물 인터넷 (6)
    클라우드 컴퓨팅 보안 (5)
    Linux (4)
    통계 분류 (4)
    웹 (4)
    사이버 보안 (3)
    암호화 (3)

    Kubernetes에 대한 자주 묻는 질문

    • 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.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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