- Architecting Google Cloud Solutions
- Contributors
- About the author
- About the reviewers
- Preface
- Section 1: Introduction to Google Cloud
- Chapter 1: An Introduction to Google Cloud for Architects
- Technical requirements
- Understanding the motivations and economics of cloud computing
- CAPEX versus OPEX
- Technology enablement
- Making the business case for cloud adoption (and Google Cloud)
- Learning about Google Cloud's key differentiators – big data and AI
- Why Google?
- Multi-cloud friendly
- Big data and AI
- Open source
- Getting an overview of Google Cloud
- Regions and zones
- Core Google Cloud services
- Multi-layered security
- Resource hierarchy
- Getting started with Google Cloud Platform
- Setting up a GCP account and project
- Installing the Google Cloud SDK and using gcloud
- Summary
- Chapter 2: Mastering the Basics of Google Cloud
- Technical requirements
- Understanding IAM
- Principle of least privilege and the IAM Recommender
- Segregation of duties
- Cloud Identity
- Practicing the cost discipline on Google Cloud
- Budgets and alerts
- Google Cloud Free Tier
- Sustained use discounts
- Committed use discounts
- Preemptible VM instances
- Nearline, Coldline, and Archive
- Custom Machine Types
- Rightsizing recommendations
- Pricing Calculator
- Getting hands-on – a case study
- Case study
- Summary
- Section 2: Designing Great Solutions in Google Cloud
- Chapter 3: Designing the Network
- Technical requirements
- Designing networks and subnetworks
- Multi-project networking
- IP addresses
- NAT
- DNS
- Cloud CDN
- Network pricing and service tiers
- Getting hands-on – deploying a custom VPC network
- Understanding routes and firewalls in Google Cloud
- Zero trust
- Understanding load balancing in Google Cloud
- Layer 7 HTTP/HTTPS load balancing
- Layer 4 TCP/UDP load balancing
- Design considerations for load balancing
- Designing for hybrid connectivity
- Cloud VPN
- Cloud Interconnect
- Mastering common network designs
- Design considerations and best practices
- Common network designs
- Summary
- Chapter 4: Architecting Compute Infrastructure
- Technical requirements
- Architecting with Compute Engine
- IaaS VMs
- Managed instance groups
- When to choose IaaS VMs
- Deploying an application with high availability on VMs
- Deploying an application with autoscaling on VMs
- Exploring Compute platforms
- App Engine
- Cloud Functions
- Cloud Run
- Understanding when to use Kubernetes
- Summary
- Chapter 5: Architecting Storage and Data Infrastructure
- Technical requirements
- Choosing the right storage solution
- Types of data
- The CAP theorem
- Using relational and structured datastores
- Cloud SQL
- Cloud Spanner
- Using non-relational and unstructured datastores
- Cloud Bigtable
- Cloud Firestore and Firebase Realtime Database
- Cloud Memorystore
- Cloud Storage for unstructured data
- Choosing the right solution for each piece of data
- Summary
- Chapter 6: Configuring Services for Observability
- Technical requirements
- Learning the monitoring basics
- The SRE approach to monitoring
- Monitoring cloud services and analyzing logs
- The monitoring landscape in Google Cloud
- Hands-on with Cloud Monitoring
- Investigating application performance issues
- Cloud Debugger
- Trace
- Profiler
- Designing for observability with best practices
- Choosing the right observability architecture
- Defining an alerting and incident response strategy
- Optimizing the costs of monitoring
- Summary
- Chapter 7: Designing for Security and Compliance
- Understanding cloud security
- Security in the cloud world
- Policy controls
- Deployment pipelines and DevSecOps
- Securing identities and access to resources
- Cloud Identity
- Securing networks
- Isolating networks by design
- Using firewalls
- Securing data and ensuring compliance
- Classifying your data
- Securing data at rest
- Securing data in transit
- Managing secrets, keys, and certificates
- Compliance
- Detecting vulnerabilities and malicious activity
- Security operations on GCP with Security Command Center
- Logging and SIEM
- Summary
- Section 3: Designing for the Modern Enterprise
- Chapter 8: Approaching Big Data and Data Pipelines
- Chapter 9: Jumping on the DevOps Bandwagon with Site Reliability Engineering (SRE)
- Technical requirements
- Understanding DevOps and SRE
- Blameless postmortems
- Share ownership
- Reduce the cost of failure
- Measuring toil and reliability
- Toil automation
- Automating all things
- Infrastructure as Code (IaC) with Deployment Manager
- CI/CD with Cloud Build
- DevSecOps
- Job scheduling with Cloud Scheduler
- Applying SRE
- Creating an SRE foundation
- Forming SRE teams
- Summary
- Chapter 10: Re-Architecting with Microservices
- Technical requirements
- Understanding microservices and when to adopt them
- Why microservices?
- How to decompose a monolith
- Asynchronous messaging
- Common design patterns
- Building microservices with Kubernetes
- Deploying a microservices web application to GKE
- Designing and managing APIs for microservices
- API Gateway, Cloud Endpoints, and Apigee
- Testing your knowledge – microservices design case study
- Case study
- Summary
- Chapter 11: Applying Machine Learning and Artificial Intelligence
- Technical requirements
- Making the business case for AI and ML
- Understanding AI and ML concepts
- Making the case for ML
- Leveraging pretrained models on GCP with ML APIs
- Building custom ML models with Cloud AI Platform and BigQuery ML
- BigQuery ML
- Productionizing custom ML models with MLOps
- Identifying MLOps maturity level
- MLOps and CI/CD for ML on GCP
- Summary
- Chapter 12: Achieving Operational Excellence
- Technical requirements
- Starting with a cloud strategy
- Setting priorities
- Determining the cloud operating model
- Establishing the organizational culture
- Learning and applying operations best practices
- Increasing development and release velocity
- Monitoring system health and business health
- Designing for failure and practicing disaster recovery
- Bringing it all together with Cloud Operations Sandbox
- Summary
- Why subscribe?
- Other Books You May Enjoy
Section 1: Introduction to Google Cloud
In this section, you will get an overview of cloud computing technologies and the economics of cloud computing, as well as an introduction to Google Cloud. You will learn how to make a case for Google Cloud and the essential concepts to master for a strong start.
The following chapters will be covered in this section:
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