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Best Google Cloud Platform tutorials 2020
This tutorial will get you started with Google Cloud Platform. You will learn Google Cloud Platform development with this comprehensive GCP guide. With a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements. Infrastructure components such as networks, systems and applications services will get you started. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring technology. The best Google Cloud Platform tutorial in 2020.
A comprehensive Google Cloud Platform guide. This video training has over 28 hours of content and over 60 demos to get you started. You will learn how to deploy Google Cloud Platform managed Hadoop apps. The Google Cloud Platform skills gained will help you make better informed decisions about Containers, VMs and AppEngine. This training will teach you TensorFlow. You will make use of big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub. This GCP tutorial will also take a look at Hadoop, Spark, Pig, Hive and HBase. This is the best Google Cloud Platform tutorial for Google Data Engineer and Google Cloud Architect in 2020.
Gain Google Cloud Architect Certification. You will be prepared for Google Cloud Architect professional exam. This tutorial will teach you to deploy managed Hadoop apps on the Google Cloud Platform. You will understand the overall architecture and working. This Google Cloud Platform certification course includes certification level Google Cloud Platform practice exam. You will gain the ability to work on GCP. This is the best Google Cloud Architect tutorial in 2020.
A detailed guide to Google Cloud Platform. This Google Cloud Platform tutorial is for beginners looking to get started. You will learn about Google Cloud Platform fundamentals and Google Cloud Platform architecture, getting you started. This tutorial will teach you cloud architecture in detail.
Practice questions for the Google Cloud Certified Professional Cloud Architect exam. You will test your knowledge and gain confidence before your exam. This Google Cloud Platorm certification training is not to be missed.
Google Cloud Platform Certification – Cloud Architect (GCP) by Dhanaji Musale will give you an in-depth Understanding on Google Cloud Platform. GCP Compute Service, GCP Management Tools, GCP Services, GCP IAM and Security, GCP Networking and GCP Storage & Database Services are covered.
Best Google Cloud Platform books 2020
Site Reliability Engineering: How Google Runs Production Systems
- The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?
- In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization.
- Murphy, Niall Richard (Author)
- English (Publication Language)
- 552 Pages - 04/19/2016 (Publication Date) - O'Reilly Media (Publisher)
The irresistible part of the life of a software system is spent not in its design or implementation but in its use. So why did conventional wisdom emphasize that software engineers focus primarily on the design and development of large-scale computer systems? In this collection of articles and essays, the Google Site Reliability team explains to key members how and why their responsibility to the entire lifecycle allows the organization to build, deploy, monitor, and successfully maintain some of the largest software systems in the world. You will learn the principles and practices that will enable Google engineers to make systems more scalable, reliable, and efficient, with lessons that apply directly to your organization.
This book is a series of articles written by members and alumni of the Google Site Reliability Engineering Company. It is more like a conference book than a multi-author standard book or a number of authors. The purpose is to read each chapter as a coherent whole, but much can be achieved by reading a topic of particular interest to you. (If there are articles that support or inform the text, we mention them so you can follow through)
You don’t need to read any specific order. aIt is recommended to start with atleast chapters 2 and 3, which describe Google’s production environment and how SRE shows the risks, respectively. (Risk is a core quality of our profession in many ways.) Reading from cover to cover is certainly useful and possible; Our chapters are categorized by Themes, Principles (Part II), Practices (Part III) and Management (Part IV). Each has a brief introduction that highlights the topic of each article and refers to other articles published by Google SRE, highlighting specific topics in more detail. Also a complementary website mentioned in the book has a lot of useful resources.
This book is divided into four sections:
Understand site reliability engineering is and why and how it differs from conventional IT industry practices
Examine and understand the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE)
Understand the theory and practice of an SRE’s day-to-day work, indluding building and operating large distributed computing systems
Explore Google’s best practices for training, communication, and meetings that your organization can use today to build better systems!
Google Cloud Platform in Action
- Geewax, JJ (Author)
- English (Publication Language)
- 632 Pages - 08/24/2018 (Publication Date) - Manning Publications (Publisher)
Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning
- Lakshmanan, Valliappa (Author)
- English (Publication Language)
- 404 Pages - 01/16/2018 (Publication Date) - O'Reilly Media (Publisher)