Course Overview
Each lesson in this course contains hands-on labs so that you may use the functions firsthand while also aiming to improve your skills to engage with GKE. To assist you in selecting the best Google Cloud services to build your cloud solution, Professionals will introduce you to a variety of Google Cloud services and features in the first module. You'll discover how to use Cloud Build to create a container and how to store it in the Container Registry. The features of Kubernetes and Google Kubernetes Engine, often known as GKE, will also be compared and contrasted. You'll create a Kubernetes cluster using GKE, deploy Pods to a GKE cluster, inspect and manage Kubernetes objects, as well as conceptualize the Kubernetes architecture.
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Audience Profile
Application developers, Cloud Solutions Architects, DevOps Engineers, and IT managers are the target audience for this course. - People who integrate current systems, application environments, and infrastructure with Google Cloud to develop new solutions. - Commercial leaders and executives are assessing GKE's capacity to meet business needs
Learning Objectives
- Examine the differences among Google Cloud compute platforms
- Examine the components and architecture of Kubernetes
- Store container images in the Container Registry
- Analyze how POD networking works using Google Kubernetes Engine.
- Using the Google Cloud console and the gcloud/kubectl commands, you may build and manage Google Kubernetes Engine clusters.
Content Outline
In this module, you will gain knowledge on how to interact with this course.
This module helps you start with the proper framework of concepts. After reviewing the fundamentals of cloud computing, you will learn how Google Cloud's resources around the world are organized into regions and zones. You'll also know how you can arrange the resources you use in Google Cloud so that you can manage them. Finally, you'll meet the tools to connect to Google Cloud and allocate, change, and release resources.
In this module, you will learn about software containers and their benefits for application deployment. You'll configure and build containers. You'll also learn about the functions container that management solutions like Kubernetes provide. You'll encounter the advantages of Google Kubernetes Engine compared to building your container-management infrastructure.
In this module, you'll learn the components of a Kubernetes cluster and how they work together. You'll deploy a Kubernetes cluster using Google Kubernetes Engine and deploy Pods to a GKE cluster. You'll also view and manage several beneficial kinds of Kubernetes objects.
This module will teach you the components used to manage Kubernetes workloads. You'll learn about the kubectl command and creating Kubernetes workloads called deployments. You'll examine networking services within Kubernetes and the different types of Kubernetes storage abstractions.
FAQs
A: Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. The GKE environment consists of multiple machines (precisely, Compute Engine instances) grouped to form a cluster.
A: App Engine is a PaaS service from Google Cloud. It offers features like popular programming languages, application versioning, and a fully managed environment. Kubernetes Engine is a platform that makes it simple to deploy, manage, and scale Kubernetes.
A: For automating the deployment, scaling, and management of containerized workloads and services, Kubernetes is a production-grade open-source container orchestration tool. The Google Cloud Platform's Google App Engine is a managed service for creating and running applications in containers.
A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants who deliver training programs. Our trainers & consultants undergo a rigorous technical and behavioral interview and assessment process before they are onboarded in the company.
Our Technology experts/trainers & consultants carry deep-dive knowledge in the technical subject & are certified by the OEM.
Our training programs are practically oriented with 70% – 80% hands-on training technology tools. Our training program focuses on one-on-one interaction with each participant, the latest content in the curriculum, real-time projects, and case studies during the training program.
Our faculty will quickly provide you with the knowledge of each course from the fundamental level, and you are free to ask your doubts any time your respective faculty.
Our trainers have the patience and ability to explain complex concepts simplistically with depth and width of knowledge.
To ensure quality learning, we provide support sessions even after the training program.
A: To attend the training session, you should have an active Desktop or Laptop with the required specification and a good internet connection to access the labs.
A: We recommend you attend the live session to practice & clarify the doubts instantly and get more value from your investment. However, due to some contingency, if you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.
A: Radiant Techlearning has a data center containing a Virtual Training environment for participants' hand-on-practice.
Participants can easily access these labs over Cloud with the help of a remote desktop connection.
Radiant virtual labs allow you to learn from anywhere and in any time zone.
A: The learners will be enthralled as we engage them in the natural world and industry Oriented projects during the training program. These projects will improve your skills and knowledge and give you a better experience. These real-time projects will help you greatly in future tasks and assignments.