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.

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Google Cloud
Architecting with Google Kubernetes Engine
Compétences que vous acquerrez : 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
(47.9k avis)
Beginner · Specialization · 3-6 Months
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DeepLearning.AI
Machine Learning Engineering for Production (MLOps)
Compétences que vous acquerrez : 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
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(2.7k avis)
Advanced · Specialization · 3-6 Months
IBM Skills Network
IBM DevOps and Software Engineering
Compétences que vous acquerrez : DevOps, Software Engineering, Cloud Computing, Python Programming, Computer Programming, Continuous Integration, Strategy and Operations, Kubernetes, Operating Systems, Continuous Delivery, Programming Principles, Security Engineering, Agile Software Development, Data Analysis, IBM Cloud, Software Security, Web Development, System Programming, Application Development, Software Testing, Data Structures, Devops Tools, Leadership and Management, Other Web Frameworks, Software Engineering Tools, System Software, Algebra, Operations Management, Project Management, Security Software, Scrum (Software Development), Cloud Applications, Cloud Engineering, Supply Chain and Logistics, Theoretical Computer Science, Computer Programming Tools, Cloud Infrastructure, Docker (Software), Network Security, Software Architecture, Software As A Service, Statistical Programming, Supply Chain Systems, System Security, Algorithms, Bioinformatics, Computer Architecture, Design and Product, Distributed Computing Architecture, Entrepreneurship, Full-Stack Web Development, Planning, Probability & Statistics, Product Design, Basic Descriptive Statistics, Business Analysis, Cloud Management, Cloud Platforms, Cloud Storage, Computer Networking, Data Management, Data Visualization, Data Visualization Software, Databases, Exploratory Data Analysis, SQL, Security Strategy, Software Framework, Systems Design, BlockChain, Collaboration, Communication, Computational Logic, Computer Graphics, Finance, Human Computer Interaction, Interactive Design, Journalism, Linux, Mathematical Theory & Analysis, Mathematics, Product Development
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(36.3k avis)
Beginner · Professional Certificate · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
Compétences que vous acquerrez : 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
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Intermediate · Professional Certificate · 3-6 Months

Recherches liées à kubernetes

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

En résumé, voici 10 de nos cours kubernetes les plus populaires

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

Compétences que vous avez acquises en Cloud Computing

Google (31)

Google Cloud Platform (30)

Interfaces De Programmation Applicatives (10)

Microservices (7)

Internet Des Objets (6)

Sécurité Du Cloud (5)

Linux (4)

Classification Statistique (4)

Web (4)

Cybersécurité (3)

Cryptographie (3)

Questions fréquentes sur 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.‎

Le contenu de cette FAQ a été mis à disposition à des fins d'information uniquement. Il est conseillé aux étudiants d'effectuer des recherches supplémentaires afin de s'assurer que les cours et autres qualifications suivis correspondent à leurs objectifs personnels, professionnels et financiers.