Become GCP Cloud Digital Leader Certified in 7 Days: Getting to Know Google Cloud

Unlock opportunities in the IT industry through the entry level Google Cloud Platform (GCP) and embark on a journey of Cloud Digital Leader certification. In this book, aspiring IT professionals, IT leaders, and enthusiasts will find a comprehensive resource that simplifies the basic technological elements of GCP and the spread of its products and services that are needed to thrive in the digital age. You’ll begin by reviewing the details of GCP’s role in digital transformation and how cloud technology is revolutionizing businesses around the globe. Next, the book covers the use of data in GCP and AI and machine learning implementations in GCP. Further, it discusses use cases involving data lakes and data warehouses. Following this, you’ll examine cloud infrastructure, including technologies around virtual machines, containerization, and serverless computing. The last section focuses on security, managing operations, and monitoring using GCP. You will also gain insight into Google’s framework for service reliability engineering (SRE). This book also serves as an invaluable companion for those pursuing the Cloud Digital Leader Certification. Follow the structured learning path and find detailed insights into the exam objectives, ensuring you are well-prepared for success. The ideas, technology concepts, and frameworks discussed in this book will help IT leaders, IT professionals, and students prepare for the GCP: Cloud Digital Leader certification. It will also help build a good technical understanding for future related GCP certifications. Become GCP Cloud Digital Leader Certified in 7 Days allows you to dive into the world of Google Cloud Platform with confidence, armed with the knowledge to navigate the dynamic landscape of IT and emerge as a digital leader. What You’ll Learn Cloud computing and its functions Products and services offered by GCP, including security features GCP infrastructure, virtual machines, containers, and serverless functions Google’s role in artificial intelligence and machine learning Insights into DevOps, SRE and observability Who This Book Is For Those who are in leadership at IT organizations. The book is also for all IT professionals and students preparing for the Google Cloud Platform: Cloud Digital Leader certification. Table of Contents About the Author About the Technical Reviewer Introduction Part I: DAY 1 Chapter 1: Cloud Computing Overview The Evolution of the Cloud The Genesis of Networks Infrastructure Advancements Virtualization Cloud Computing The Software Evolution Moving to n-tier The Move to Service Oriented Architecture Microservices Why Move to the Cloud Cost Savings Scalability Security Data Backup Collaboration A Look at the Top Cloud Service Providers Amazon Web Services (AWS) Microsoft Azure Google Cloud Platform Summary Chapter 2: Fundamental Cloud Concepts Types of Cloud Environments Public Clouds Private Clouds Hybrid Clouds Networking Concepts IP Addresses IP Packets IPv4 and IPv6 Static and Dynamic IP Addresses Public and Private IP Addresses Domain Name Servers (DNSs) Fiber Optics and Subsea Cables Submarine Cables Bandwidth and Latency Network Edge Datacenters Summary Part II: DAY 2 Chapter 3: Infrastructure Concepts Cloud Computing Service Models Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Software as a Service (SaaS) Shared Responsibility Model GCP’s Shared Responsibility Model Due Diligence in Understanding and Implementation Summary Chapter 4: GCP 101 Creating a GCP Account Google’s Network Regions and Zones Regions Zones Network Edge Locations High Availability Characteristics of High Availability Measuring High Availability Disaster Recovery Aspects of Disaster Recovery Key Terms when Planning for Disaster Recovery Summary Chapter 5: GCP Virtual Machines Google Cloud Solution Pillars Pillar 1: Infrastructure Modernization Pillar 2: Business Applications Platform Portfolio Pillar 3: Application Modernization Pillar 4: Database and Storage Solutions Pillar 5: Smart Analytics Pillar 6: Artificial Intelligence Pillar 7: Security Virtual Machines Hypervisors Why Virtualize? Google Compute Engine Key Characteristics Drawbacks Provisioning VMs VMware Engine Benefits of the VMware Engine Bare Metal Solution Bare Metal at Regional Extensions The Customer’s Responsibilities Summary Part III: DAY 3 Chapter 6: Containers Understanding Containers Containers vs. Virtual Machines Why Containerization? Container Use Cases Container Tools Docker Kubernetes LXC Hyper-V and Windows Containers AWS Fargate/Cloud Run AWS EKS/AKS/GKE Google Kubernetes Engine Why GKE? GKE in Action Anthos Why Anthos Stand-out Features of Anthos Anthos in Action Summary Chapter 7: Serverless and Cloud Functions Serverless Computing Function as a Service (FaaS) FaaS Use Cases FaaS vs. Microservices How Does a Serverless Model Work? Pros and Cons of Serverless Computing Popular Serverless Products Google App Engine Google Cloud Software Delivery Kit (SDK) GAE Key Features GAE in Action Google Cloud Run GCR Key Features Google Cloud Run vs. Google Kubernetes Engine GCR in Action Google Cloud Functions GCF Key Features GCF in Action Summary Part IV: DAY 4 Chapter 8: Application Modernization Challenges with Legacy Applications Reasons to Leave Legacy Applications Behind Why Do Organizations Still Swear by Legacy Applications? Application Modernization Cloud-Native Architecture Business Alignment Benefits of Application Modernization The 5 Rs of Application Modernization Refactor Replatform Rebuild Retain Retire The Roadmap to Modernization Steps to Modernize Modernization Patterns Replatform and Change Change and Replatform Greenfield Modernization Brownfield Development Application Programming Interface (API) The Role of APIs in Application Modernization Apigee Key Features of Apigee Summary Part V: DAY 5 Chapter 9: Data Driven Transformation Why Data Matters Informed Decision Making Pulse of the Customer Staying Ahead of the Competition Operational Efficiency Managing Risks Innovation Data on Cloud Technology Limitations of the Traditional Ways of Working with Data Effects of the Cloud on Data Types of Data Structured Data Semi-Structured Data Unstructured Data GCP Data Products SQL Database Products Cloud SQL Cloud SQL Key Features Cloud SQL in Action Cloud Spanner NoSQL Database Products Cloud Bigtable Firestore Data Warehouse Products BigQuery Data Lake Products Cloud Storage Key Features of Cloud Storage Storage Classes Standard Nearline Coldline Archive Bucket Locations Regional Dual Regions Multi-Region Business Intelligence and Analytics Products Looker Summary Part VI: DAY 6 Chapter 10: Artificial Intelligence and Machine Learning What Is AI/ML? Importance of Data Quality Types of AI Reactive Machines/Narrow AI Limited Memory/General AI Theory of Mind Self-Awareness/Super AI How Does AI/ML Work? Prepare the Data Design and Train the Model Deploy the Program Generate Predictions Monitor Predictions Maintain Models The Benefits of AI/ML Can AI Replace People? GCP’s AI/ML Vertex AI Vertex AI Activities Vertex AI Feature Set AutoML AutoML Tabular AutoML Image AutoML Video AutoML Text AutoML Translation Pretrained AI APIs Natural Language AI Speech-to-Text Text-to-Speech Translation AI Vision AI Video AI Document AI Summary Chapter 11: Financial Governance on the Cloud Introduction Challenges with Managing Cloud Costs Managing Cloud Costs People Process Technology Total Cost of Ownership Dealing with Complexity Over TCO Financial Governance in GCP Principles of Financial Governance Visibility Oversight Accountability Intelligence Good Practices for GCP Financial Governance Point of Accountability Invoice vs. Cost Management Tools Budget Alerts Leverage Recommender Apply Labels Summary Part VII: DAY 7 Chapter 12: Cloud Security Fundamental Security Terminology Privacy Security Compliance Availability Prevailing Cybersecurity Risks Phishing Attacks Malware Attacks Physical Damage Misconfiguration Unsecured Third-Party Systems GCP’s Security Features and Products Google’s Security Commitment to its Customers Identity and Access Management Roles and Access Resource Hierarchy Organizations Folders Projects Resources Resource Hierarchy Features Summary Chapter 13: Operations and Monitoring The Operations Quagmire DevOps DevOps Example Objectives of DevOps Site Reliability Engineering How SRE Works Monitoring Incident Management Change Management Automation SRE Metrics and Terminology Service Level Agreement Service Scope Roles and Responsibilities Service Levels Information Security Penalties and Remedies Termination Clause Service Level Objective Service Level Indicator Error Budget GCP Products for Operations Cloud Monitoring Dashboards Metrics Alerts and Notifications Integration SLO Monitoring APIs Cloud Logging Aggregation Analysis Log Sink Integration Error Reporting Collection Analysis Details and Context Tracking Products for Performance Cloud Trace Tracing Trace Viewer Integration Annotations and Attributes Cloud Profiler Continuous Profiling Detailed Profiling Integration Summary Index