Architecting With Google Cloud Design And Process Training - Lithuania

Architecting with Google Cloud Design and Process Training Course Outline

Module 1: Defining the Service

• Describe Users in Terms of Roles and Personas
• Write Qualitative Requirements with User Stories
• Write Quantitative Requirements Using Key Performance Indicators (KPIs)
• Evaluate KPIs Using SLOs and SLIs
• Determine the Quality of Application Requirements Using SMART Criteria

Module 2: Microservice Design and Architecture

• Decompose Monolithic Applications into Microservices
• Recognise Appropriate Microservice Boundaries
• Architect Stateful and Stateless Services to Optimise Scalability and Reliability
• Implement Services Using 12-factor Best Practices
• Build Loosely Coupled Services by Implementing a Well-designed REST Architecture
• Design Consistent, Standard RESTful Service APIs

Module 3: DevOps Automation

• Automate Service Deployment Using CI/CD Pipelines
• Leverage Cloud Source Repositories for Source and Version Control
• Automate Builds with Google Cloud Build and Build Triggers
• Manage Container Images with Google Container Registry
• Create Infrastructure with Code Using Deployment Manager and Terraform

Module 4: Choosing Storage Solutions

• Choose the Appropriate Google Cloud Data Storage Service Based Use Case, Durability, Availability, Scalability and Cost
• Storage Binary Data with Cloud Storage
• Store Relational Data Using Cloud SQL and Spanner
• Store NoSQL Data Using Firestore and BigTable
• Cache Data for Fast Access Using Memorystore
• Build a Data Warehouse Using Big Query

Module 5: Google Cloud and Hybrid Network Architecture

• Design VPC Networks to Optimise for Cost, Security and Performance
• Configure Global and Regional Load Balancers to Provide Access to Services
• Leverage Cloud CDN to Provide Lower Latency and Decrease Network Egress
• Evaluate Network Architecture Using the Network Intelligence Centre
• Connect Networks Using Peering and VPNs
• Create Hybrid Networks Between Google Cloud and On-premises Data Centres

Module 6: Deploying Applications to Google Cloud

• Choose the Appropriate Google Cloud Deployment Service for Your Applications
• Configure Scalable, Resilient Infrastructure Using Instance Templates and Groups
• Orchestrate Microservice Deployments Using Kubernetes and GKE
• Leverage App Engine for a Completely Automated Platform as a Service (PaaS)
• Create Serverless Applications Using Google Cloud Functions

Module 7: Designing Reliable Systems

• Design Services to Meet Requirements for Availability, Durability and Scalability
• Implement Fault-tolerant Systems by Avoiding Single Points of Failure, Correlated Failures and Cascading Failures
• Avoid Overload Failures the Circuit Breaker and Truncated Exponential Back off Design Patterns
• Design Resilient Data Storage with Lazy Deletion
• Analyse Disaster Scenarios and Plan for Disaster Recovery Using Cost/risk

Module 8: Security

• Design Secure Systems Using Best Practices Like Separation of Concerns, Principle of Least Privilege and Regular Audits
• Leverage Google Cloud Security Command Centre to Help Identify Vulnerabilities
• Simplify Cloud Governance Using or Organisation Policies and Folders
• Secure People Using IAM Roles, Identity Aware Proxy and Identity Platform
• Manage the Access and Authorisation of Resources by Machines and Processes Using Service Accounts
• Secure Networks with Private IPs, Firewalls and Google Cloud Private Access
• Mitigate DDoS Attacks by Leveraging Cloud DNS and Cloud Armor

Module 9: Maintenance and Monitoring

• Manage New Service Versions Using Rolling Updates, Blue-green Deployments, and Canary Releases
• Forecast, Monitor, and Optimise Service Cost Using the Google Cloud Pricing Calculator, Billing Reports, and by Analysing Billing Data
• Observe if Your Services are Meeting Their SLOs Using Stack Driver Monitoring and Dashboards
• Use Uptime Checks to Determine Service Availability
• Respond to Service Outages Using Stack Driver Alerts