Course Overview
You explore the structure and guiding principles of Google Cloud in this course, "Architecting with Google Kubernetes Engine: Foundations," and then learn about generating and managing software containers and Kubernetes' architecture.
The Architecting with Google Kubernetes Engine series' first course is available here. Enroll in the Architecting with Google Kubernetes Engine: Workloads course after finishing this one.
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Prerequisites
To avail the most benefit out of this course, participants should have the following:
- Completed Google Cloud Fundamentals: Core Infrastructure or equivalent experience.
- Basic proficiency and knowledge of command-line tools and Linux operating system environments.
Audience Profile
This course is intended for the following participants:
- Cloud architects, administrators, and SysOps/DevOps personnel.
- Professionals utilise Google Cloud to develop original solutions or to connect it with their current infrastructure, application environments, and systems.
Learning Objectives
Content Outline
In this module, you'll become familiar with the structure and layout of the 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 global resources 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.
FAQs
A: Google Kubernetes Engine (GKE) is an open-source management platform for Docker containers and clusters. This Kubernetes-based engine supports only those clusters which run within Google's public cloud services.
A: Kubernetes Architecture mainly consists of two components, i.e., the primary node and the worker node. The primary and the worker nodes have many inbuilt features within them. The primary node has the Kube-controller-manager, Kube-Episerver, Kube-scheduler, etc. In contrast, the worker node has kubelet, and Kube-proxy runs on each node.
A: Etcd is a distributed key-value store for coordinating between distributed tasks that is written in the Go programming language. As a result, Etcd can quickly store the configuration information for the Kubernetes cluster, which represents the set's current state.
A: Through Kubernetes, users can quickly deploy cloud-native applications anywhere and manage them efficiently and accurately as the user like everywhere. With containers, it's straightforward to ramp up various application instances swiftly to match demand spikes. And because containers draw on resources of the host OS, they are much lighter than virtual machines
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 at any time from 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 operational Desktops or Laptops 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, if, due to some contingency, 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 Oriented industry 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 a lot in your future tasks and assignments.