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Google Professional Cloud Architect: Analyzing and Optimizing Technical and Business Processes

Master the skills to analyze and optimize technical and business processes for the Google Cloud PCA exam. This course will teach you how to align cloud solutions with business goals, streamline operations, and ensure reliability.

Victor Dantas - Pluralsight course - Google Professional Cloud Architect: Analyzing and Optimizing Technical and Business Processes
Victor Dantas
What you'll learn

Analyzing, optimizing, and aligning technical and business processes to design robust and efficient cloud solutions doesn't need to be difficult. In this course, Google Professional Cloud Architect: Analyzing and Optimizing Technical and Business Processes, you'll gain the ability to bridge the gap between technical implementation and business objectives. First, you’ll learn to define and analyze technical processes, from implementing CI/CD pipelines to establishing best practices for troubleshooting and disaster recovery. Next, you’ll discover how to navigate the business side of cloud architecture, focusing on stakeholder management, cost optimization, and assessing team readiness. Finally, you’ll learn how to develop procedures that ensure production reliability using advanced techniques like chaos engineering and penetration testing. When you’re finished with this course, you’ll have the skills and knowledge needed to optimize operational processes and design cloud solutions that deliver tangible business value, bringing you one step closer to earning your Google Cloud certification.

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About the author
Victor Dantas - Pluralsight course - Google Professional Cloud Architect: Analyzing and Optimizing Technical and Business Processes
Victor Dantas

IT professional with a PhD in Software-Defined Networking and certified Cloud Architect on Microsoft Azure and Google Cloud Platform (GCP). With a background ranging from software development and systems engineering to professional services for Cloud migration, I have accumulated experience in Hybrid cloud infrastructure, cloud architecture and design, Infrastructure-as-Code (IaC) as well as Agile/DevOps practices. My current interests involve AI / Machine Learning and Internet-of-Things. (IoT).

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