Course Overview
Students who complete this course will be able to use tried-and-true design patterns to construct highly dependable and effective solutions on Google Cloud. It presupposes prior hands-on familiarity with the technologies covered in either the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses as it is a continuation of previous courses. Participants learn to establish and balance business and technological criteria to create Google Cloud deployments that are highly dependable, highly available, secure, and reasonably priced through a combination of presentations, design activities, and hands-on labs.
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Prerequisites
To get the most advantage out of this module, participants should:
- Have accquired a certificate in Google Compute Engine or Kubernetes Engine architecture, or possess an equivalent level of experience
- Have basic understanding of command-line tools well.
- Possess experience with system operations, including deploying and administering applications in a public cloud environment or on your own premises.
Audience Profile
Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, and IT managers. Individuals use Google Cloud to build new diagnostics or to join existing systems, application environments, and infrastructure utilizing Google Cloud.
Learning Objectives
- Utilize a set of tools, including questions, methods, and design concerns.
- Define the needs for the application and describe them objectively using KPIs, SLOs, and SLIs.
- To determine the appropriate microservice boundaries, break down the needs for the application.
- Utilize the developer tools in Google Cloud to create contemporary, automated deployment workflows.
- Depending on the needs of the application, select the relevant Google Cloud Storage services.
- Discuss network topologies for the Google Cloud, including hybrid architectures.
- Implement trustworthy, scalable, and robust applications while balancing cost and important performance parameters.
- Select the best Google Cloud application deployment services for your projects.
- Secure cloud infrastructure, data, and applications
- Utilize the operations suite of Google Cloud to keep an eye on service level goals and expenses.
Content Outline
Welcome to the Reliable Google Cloud Infrastructure: Design and Process course. Learn about the course structure and its content.
In this module, you will learn to describe users of a system in terms of the roles and personas they take. You will learn how to measure success using Key performance indicators (KPIs), and you will examine service level objectives (SLOs), service level indicators (SLIs), and service level agreements (SLAs).
In this module, we introduce application architecture and microservice design.
This module introduces DevOps automation, a critical factor in achieving consistency, reliability, and speed of deployment.
This module discusses Google Cloud storage and data solutions and how to select the most suitable one to meet your business and technical requirements.
This module discusses Google Cloud network architectures, including hybrid architectures.
This module discusses the different options for deploying applications to Google Cloud. Google Cloud offers many possible deployment platforms, and the choice is only sometimes immediately obvious.
In this module, we talk about how to design reliable systems.
In this module, we cover security. Google has been operating securely in the Cloud for 20 years. There is a strong belief that security empowers innovation. The approach of the cloud architect should be that security should be put first; everything else will follow from this.
In this course's final module, we cover application maintenance and monitoring.
FAQs
A: API stands for application programming interface, and it is helpful in cloud platforms as:
It eliminates the requirement to write fully-fledged programs, provides the instructions to make accessible communication between one or more applications, 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 needed. 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: 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 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.