Course Overview
Participants in the first course of the Architecting Hybrid Cloud with Anthos series learn how to use Anthos to manage multi-cloud and hybrid Kubernetes installations. Participants learn how to plan and create Anthos settings as well as develop stable, multi-cluster Kubernetes infrastructure environments centred upon Anthos and containers through presentations and practical labs. The prerequisite for this course is direct expertise with the technologies covered in Architecting with GKE, which it is a continuation of.
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Prerequisites
Architecting with GKE
Audience Profile
- Customers
- Googlers
Learning Objectives
- Analyze each layer of the Anthos technology stack and the problems it is designed to address.
- Create, connect and manage Anthos clusters from multiple deployment environments.
- Load-balance groups which are running in Google Cloud.
- Describe automating policy and security at scale with Config Management.
Content Outline
Welcome to Multi-Cluster, Multi-Cloud with Anthos.
In this module, you learn about the Anthos technology stack - and how it can help you to design and build multi-environment solutions.
In this module, after a brief review of containers and Google Kubernetes Engine (GKE), you learn about creating and managing Anthos clusters in Google Cloud and other cloud providers.
This module teaches you how to group clusters and other resources in a fleet. You then know about fleet networking, including multi-cluster services and gateways.
In this module, you learn how to manage multi-cluster configurations centrally.
FAQs
A: With Anthos clusters, you can deploy workloads to multiple clouds with a unified management, signaling, and configuration control plane. You can manage your Kubernetes clusters on AWS and Azure from the Google Cloud console.
A: e Explained, multi-cloud is an IT strategy where organizations use a combination of public, private, and hybrid clouds from different cloud providers like AWS (Amazon Web Services), Azure, Google Cloud, IBM Cloud, and many similar providers
A: Types of Clustering
- Centroid-based Clustering.
- Density-based Clustering.
- Distribution-based Clustering.
- Hierarchical Clustering.
A: K-means clustering is the most commonly used clustering algorithm. The simplest unsupervised learning algorithm, it is a centroid-based algorithm. This algorithm seeks to reduce data point variance inside a cluster.
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 patience and the ability to explain complex concepts simplistically with depth and width of knowledge.
To ensure quality learning, we provide support sessions after the training program.
A: To attend the training session, you should have an active Desktop or Laptop with the required specifications 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 you have to skip the class due to some contingency, 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.