Course Overview
The vocabulary and fundamental ideas for using Google Cloud have been introduced in Google Cloud Fundamentals: Core Infrastructure. This course introduces and contrasts many of Google Cloud's computing and storage services, as well as essential resource and policy management tools, through videos and practical exercises.
Audience Profile
- Those who intend to set up application environments and deploy applications on Google Cloud.
- Professionals in systems operations, solution architects, Google Cloud beginners, and developers.
- Business executives and decision-makers were assessing Google Cloud's ability to meet their needs.
Learning Objectives
- Determine the function and worth of the products and services offered by Google Cloud.
- Utilize Google Cloud services
- Choose from and utilize App Engine, Google Kubernetes Engine, and Compute Engine as your application deployment environments on Google Cloud.
- Choose from and utilize Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore as your Google Cloud storage options.
Content Outline
Welcome to the Google Cloud Fundamentals: Core Infrastructure course! This section also provides an overview of the course's objectives and structure.
Some of the essential advantages of using Google Cloud are listed in this section. Here, we discuss the components of Google's network infrastructure and contrast platform-as-a-service (PaaS) with infrastructure-as-a-service (IaaS) (PaaS).
This section examines how resources are coordinated with projects and how Identity and Access Management, a tool, is used to distribute access to those resources with the appropriate workforce members (IAM). This section also identifies many techniques to communicate with Google Cloud.
This course section explores how Google Compute Engine works, focusing on virtual networking.
The five primary storage services offered by Google Cloud are highlighted in this course section: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
This lesson examines containers and their management of them using Google Kubernetes Engine and Kubernetes.
This section of the course focuses on developing applications in the Cloud. Here, we'll explore App Engine, two API management tools–Apigee Edge and Cloud Endpoints–and Cloud Run.
This section examines the development tools offered by Google Cloud, such as Terraform, Cloud Functions, and Cloud Source Repositories. Infrastructure as code deployment is also covered in this section.
This section emphasizes the value of tracking product dependability performance before defining service level objectives, service level indicators, and service level agreements (SLAs). The function of integrated monitoring, logging, alerting, and debugging is also examined.
In this final section, we review what's been presented in this course and discuss the following steps to continue your cloud learning journey.
FAQs
A: API stands for application programming interface, and it is helpful in cloud platforms as:-
- It eliminates the requirement to write the fully-fledged programs
- It provides instructions to make communication accessible between one or more applications
- It allows the easy making of applications and links the cloud services with other systems
A: The benefits involved in cloud architecture is
- Zero infrastructure investment
- Just in time infrastructure
- More efficient resource utilization
A: Some characteristics make cloud architecture above from traditional architecture and i.e.
According to the demand, cloud architecture provides the hardware need
Cloud architecture can scale the resource on demand
Cloud architecture can manage and handle dynamic workloads without failure.
A: Users have to do the following steps to build a cloud infrastructure:-
- The first user should decide which technology will be the basis for their on-demand application infrastructure.
- Determine what delivery infrastructure user will be used to abstract the application infrastructure.
- Prepare the network infrastructure.
- Provide visibility and automation of management tasks.
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, 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 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 a lot in your future tasks and assignments.