Architecting with Google Cloud Platform: Design & Process Training GPROC

If you're looking to gain a deep understanding of how to leverage the Google Cloud Platform (GCP) in a modern-day DevOps pipeline with microservice-architected applications, then this course is for you.

You will learn which GCP service best suits your needs and how to build a solution that leverages the service most appropriate for your requirements. Learn how to build highly available, scalable, secure solutions that can be easily monitored and maintained.

Overview

This intensive training program equips you with the skills and knowledge to design and implement robust, scalable, and secure solutions on Google Cloud Platform (GCP). It covers the entire lifecycle of application development, from defining service requirements and microservice architecture to DevOps automation, storage solutions, network design, deployment strategies, reliability engineering, security best practices, and ongoing maintenance and monitoring.

Intended Audience

This course is ideal for:

• Cloud Architects
• DevOps Engineers
• Software Developers
• System Administrators
• IT Professionals involved in designing and deploying applications on GCP

Benefits of Attending

• Master GCP Architecture: Learn to design and implement highly available, scalable, and secure solutions on GCP.
• Modern DevOps Practices: Understand how to leverage DevOps principles and automation tools for efficient application development and deployment.
• Microservice Architecture: Gain expertise in designing and implementing microservice-based applications.
• Optimize Resource Utilization: Learn to choose the most appropriate GCP services for your specific needs and optimize costs.
• Enhance Application Reliability: Design and implement resilient systems with built-in fault tolerance and disaster recovery capabilities.
• Improve Security Posture: Implement security best practices to protect your applications and data on GCP.
• Streamline Operations: Learn effective maintenance and monitoring strategies to ensure smooth operation of your applications.

Prerequisites

A general understanding of software development principles and basic cloud computing concepts is recommended. Familiarity with Linux command line interface and some programming experience (e.g., Python, Java) is beneficial. Prior experience with GCP is helpful but not required.

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
  • Recognize appropriate microservice boundaries
  • Architect stateful and stateless services to optimize 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 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 on the use case, durability, availability, scalability, and cost
  • Store binary data with Cloud Storage
  • Store relational data using Cloud SQL and Spanner
  • Store NoSQL data using Firestore and Cloud Bigtable
  • Cache data for fast access using Memorystore
  • Build a data warehouse using BigQuery
• Module 5: Google Cloud and Hybrid Network Architecture
  • Design VPC networks to optimize 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 Cloud Network Intelligence Center
  • Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect
• 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 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 with the circuit breaker and truncated exponential backoff design patterns
  • Design resilient data storage with lazy deletion
  • Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis
• Module 8: Security
  • Design secure systems using best practices like separation of concerns, the principle of least privilege, and regular audits
  • Leverage Cloud Security Command Center to help identify vulnerabilities
  • Simplify cloud governance using organizational policies and folders
  • Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform
  • Manage the access and authorization of resources by machines and processes using service accounts
  • Secure networks with private IPs, firewalls, and Private Google Access
• Module 9: Maintenance and Monitoring
  • Manage new service versions using rolling updates, blue/green deployments, and canary releases
  • Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data
  • Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards
  • Use Uptime Checks to determine service availability
  • Respond to service outages using Cloud Monitoring Alerts and processes using service accounts