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Elastic Google Cloud Infrastructure

Scaling and Automation

Google Cloud

This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud.

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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud.

This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.

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What's inside

Syllabus

Introduction
Interconnecting Networks
Load Balancing and Autoscaling
Infrastructure Automation
Read more
Managed Services
Course Resources

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides a comprehensive overview of Google Cloud's infrastructure and platform services, making it suitable for beginners exploring cloud computing
Incorporates hands-on labs and demos, offering practical experience in deploying solution elements within Google Cloud
Taught by Google Cloud instructors, ensuring up-to-date and industry-relevant knowledge
Covers essential concepts such as networking, load balancing, autoscaling, and managed services, providing a solid foundation for cloud practitioners
Suitable for learners interested in developing their skills in cloud infrastructure and platform services

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Activities

Coming soon We're preparing activities for Elastic Google Cloud Infrastructure: Scaling and Automation. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Elastic Google Cloud Infrastructure: Scaling and Automation will develop knowledge and skills that may be useful to these careers:
Cloud Data Engineer
Cloud Data Engineers are responsible for designing, constructing, securing, and managing big data systems in the cloud. This role requires expertise in big data processing and management techniques as well as cloud infrastructure. This course introduces participants to Google Cloud's data processing and management offerings, making it a good fit for anyone interested in a career as a Cloud Data Engineer.
Site Reliability Engineer
Site Reliability Engineers ensure the reliability, performance, and availability of cloud-based applications. To be successful in this role, one should have expertise in cloud infrastructure and configuration management. This course provides an introduction to those topics, making it a good fit for those interested in a career as a Site Reliability Engineer.
Data Analyst
Data Analysts analyze data to extract insights and trends that can help businesses make better decisions. They use statistical techniques and data visualization to identify patterns and relationships in data. This course introduces participants to the data analysis capabilities of Google Cloud, making it a good fit for anyone interested in a career as a Data Analyst.
DevOps Engineer
DevOps Engineers work closely with software developers to automate and streamline software deployment. To facilitate successful delivery, DevOps Engineers must have expertise in cloud infrastructure and automation technology. This course provides an introduction to the automation and infrastructure management features of Google Cloud. Completing this course may be helpful if you are interested in a career in DevOps Engineering.
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models. They use statistical techniques and machine learning algorithms to create models that can learn from data and make predictions. This course introduces participants to the machine learning capabilities of Google Cloud, making it a good fit for anyone interested in a career as a Machine Learning Engineer.
Cloud Architect
Cloud Architects design, build, and manage cloud computing systems for organizations. This course introduces participants to the Google Cloud platform, which is one of the most popular cloud computing services in the world. As such, this course may be helpful for anyone interested in a career in Cloud Architecture.
Data Scientist
Data Scientists develop and apply statistical and machine learning models to extract insights from data. They use these insights to help businesses solve problems and make better decisions. This course introduces participants to the data science capabilities of Google Cloud, making it a good fit for anyone interested in a career as a Data Scientist.
Cloud Security Engineer
Cloud Security Engineers design, implement, and monitor security for cloud computing systems. Since cloud computing is a popular target for cyber criminals, Cloud Security Engineers are in high demand. This course introduces participants to securing and monitoring Google Cloud, which is one of the most popular cloud computing services in the world. As such, this course may be helpful for anyone interested in a career in Cloud Security Engineering.
Software Developer
Software Developers design, build, and maintain software applications. They use programming languages and software development tools to create software that meets the needs of users. This course introduces participants to the Google Cloud platform, which can be used to develop and deploy software applications. As such, this course may be helpful for anyone interested in a career as a Software Developer.
IT Manager
IT Managers plan, implement, and manage information technology (IT) systems for organizations. They oversee the installation, maintenance, and operation of IT systems, and they ensure that these systems meet the needs of the organization. This course introduces participants to the Google Cloud platform, which is one of the most popular cloud computing services in the world. As such, this course may be helpful for anyone interested in a career in IT Management.
Systems Administrator
Systems Administrators are responsible for the day-to-day operation and maintenance of computer systems. They install, configure, and maintain hardware and software, and they ensure that systems are running smoothly and securely. This course introduces participants to the Google Cloud platform, which is one of the most popular cloud computing services in the world. As such, this course may be helpful for anyone interested in a career in Systems Administration.
Database Administrator
Database Administrators are responsible for the design, implementation, and maintenance of database systems. They ensure that databases are running smoothly and securely, and they troubleshoot and resolve database problems. This course introduces participants to the Google Cloud platform, including Google Cloud's database offerings. As such, this course may be helpful for anyone interested in a career in Database Administration.
Network Administrator
Network Administrators are responsible for the design, implementation, and maintenance of computer networks. They ensure that networks are running smoothly and securely, and they troubleshoot and resolve network problems. This course introduces participants to the Google Cloud platform, including Google Cloud's networking offerings. As such, this course may be helpful for anyone interested in a career in Network Administration.
IT Consultant
IT Consultants provide advice and guidance to organizations on how to use information technology (IT) to achieve their business goals. They help organizations develop and implement IT strategies, and they provide technical support and training. This course introduces participants to the Google Cloud platform, which is one of the most popular cloud computing services in the world. As such, this course may be helpful for anyone interested in a career in IT Consulting.
Cloud Engineer
Cloud Engineers architect, design, build, maintain, and manage cloud computing systems. Due to the nature of this role, Cloud Engineers must demonstrate knowledge and expertise in a wide range of cloud computing concepts. This course covers the basics of Google Cloud. Although it does not provide training in all of the aspects of cloud engineering, it may be useful for anyone preparing for a career in this field.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Elastic Google Cloud Infrastructure: Scaling and Automation.
Shows readers how to use Google Cloud Platform to automate their infrastructure, from provisioning and management to monitoring and scaling. It's a valuable resource for anyone who wants to learn more about how to use the cloud to streamline their operations.
Provides a practical guide to cloud native development, covering topics such as microservices, containers, and continuous delivery. It's a good choice for readers who want to learn more about how to build and deploy cloud-native applications.
Provides a deep dive into cloud computing, with a focus on the underlying concepts, technologies, and architecture. It's a good choice for readers who want to understand the theory behind the cloud and how it works.
Provides a comprehensive guide to DevOps practices. It covers topics such as agile development, continuous integration and delivery, and site reliability engineering. It valuable resource for anyone who wants to improve the efficiency and effectiveness of their software development process.
Novel that tells the story of a group of IT professionals who are trying to save their company from a major IT outage. It provides a fictionalized account of the challenges and benefits of adopting DevOps practices.
Provides a comprehensive overview of site reliability engineering (SRE) practices. It covers topics such as SRE principles, SRE tools, and SRE best practices.
Provides a comprehensive overview of the principles and techniques involved in designing, building, and operating scalable, reliable, and maintainable data-intensive applications.

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