What is Kubernetes, and why is it important to learn?

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.

What jobs can you get in Kubernetes?

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.

How can online courses help you learn Kubernetes?

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.

What skills or experience do I need to already have, before starting to learn Kubernetes?

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.

What types of places hire people with a background in Kubernetes?

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.

How do I know if learning Kubernetes is right for me?

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.

What topics can I study that are related to Kubernetes?

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.

Обзор
Kubernetes

Фильтр

Результатов для запроса ''kubernetes': 211

Google Cloud
Architecting with Google Kubernetes Engine
Получаемые навыки: Big Data, Cloud Computing, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Networking, Data Management, Databases, Distributed Computing Architecture, Google App Engine, Google Cloud Platform, Kubernetes, Machine Learning, Network Security, Security, Security Engineering, Software As A Service, Web Development, Workload
4.7
(рецензий: 46k)
Beginner · Specialization
Бесплатно
IBM
IBM DevOps and Software Engineering
Получаемые навыки: Agile Software Development, Algorithms, Application Development, BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Collaboration, Communication, Computational Logic, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Programming Tools, Continuous Delivery, Continuous Integration, Data Management, Design and Product, DevOps, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Finance, Full-Stack Web Development, Human Computer Interaction, IBM Cloud, Interactive Design, Kubernetes, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Network Architecture, Network Security, Operating Systems, Planning, Product Design, Product Development, Programming Principles, Project Management, Python Programming, Security, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Engineering Tools, Software Framework, Software Testing, Statistical Programming, Strategy and Operations, Supply Chain and Logistics, System Programming, Systems Design, Theoretical Computer Science, Web Development
4.6
(рецензий: 30.4k)
Beginner · Professional Certificate
DeepLearning.AI
Machine Learning Engineering for Production (MLOps)
Получаемые навыки: Applied Machine Learning, Business Analysis, Change Management, Cloud Computing, Computer Networking, Computer Programming, Data Analysis, Data Management, Data Visualization, Deep Learning, DevOps, Estimation, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Modeling, Network Security, Probability & Statistics, Python Programming, Security Engineering, Security Strategy, Statistical Programming, Statistical Visualization, Strategy and Operations
4.7
(рецензий: 2k)
Advanced · Specialization
Google Cloud
Preparing for Google Cloud Certification: Cloud DevOps Engineer
Получаемые навыки: Accounting, Architecture, Big Data, Billing & Invoicing, Cloud Computing, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Continuous Delivery, Continuous Integration, Data Management, Databases, DevOps, Distributed Computing Architecture, Finance, Google App Engine, Google Cloud Platform, Kubernetes, Leadership and Management, Machine Learning, Network Architecture, Security, Software, Software Architecture, Software As A Service, Software Engineering, Software Testing, Strategy and Operations, Theoretical Computer Science, Web Development
4.7
(рецензий: 49.8k)
Beginner · Professional Certificate
Google Cloud
Architecting with Google Kubernetes Engine en Français
Получаемые навыки: Big Data, Cloud API, Cloud Computing, Cloud Infrastructure, Cloud Load Balancing, Cloud Storage, Data Management, Databases, Google App Engine, Google Cloud Platform, Kubernetes, NoSQL, Operations Management, SQL, Statistical Programming, Strategy and Operations
4.7
(рецензий: 66)
Beginner · Specialization

Результаты поиска, связанного с kubernetes

kubernetes: basic architecture and first deployment

kubernetes engine: qwik start

kubernetes: create multi-app cluster with ingress & logging

kubernetes in aws: create cluster in eks in your own vpc

monitoring kubernetes cluster using prometheus and grafana

deploy kubernetes load balancer service with terraform

using kubernetes engine to deploy apps with regional persistent disks

google kubernetes engine security: binary authorization

10 самых популярных курсов по запросу kubernetes

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

Навыки, которые вы можете получить здесь: Cloud Computing

Google (31)

Платформа Google Cloud (30)

Интерфейсы Программирования Приложений (10)

Микросервисы (7)

Интернет Вещей (6)

Безопасность Облачных Вычислений (5)

Linux (4)

Статистическая Классификация (4)

Веб (4)

Безопасность В Киберпространстве (3)

Криптография (3)

Часто задаваемые вопросы на тему Kubernetes

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.‎
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.‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.