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Architecting with Google Cloud Platform: Design and Process (AGCP-DP)

 

Course Content

This two-day instructor-led class equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course and assumes hands-on experience with the technologies covered in either of those courses.

Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable,highly available, secure, and cost-effective.

Who should attend

This class is intended for the following participants:

  • Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers
  • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure

Prerequisites

To get the most out of this course, participants should have:

Course Objectives

This course teaches participants the following skills:

  • Apply a tool set of questions, techniques, and design considerations
  • Define application requirements and express them objectively as KPIs, SLOs and SLIs
  • Decompose application requirements to find the right microservice boundaries
  • Leverage Google Cloud developer tools to set up modern, automated deployment pipelines
  • Choose the appropriate Cloud Storage services based on application requirements
  • Architect cloud and hybrid networks
  • Implement reliable, scalable, resilient applications balancing key performance metrics with cost
  • Choose the right Google Cloud deployment services for your applications
  • Secure cloud applications, data, and infrastructure
  • Monitor service level objectives and costs using Google Cloud tools

Outline: Architecting with Google Cloud Platform: Design and Process (AGCP-DP)

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 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
  • Connect networks using peering and VPNs
  • 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, 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
  • 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 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
Online Training

Duration 2 days

Price
  • CAD 1,975
Classroom Training

Duration 2 days

Price
  • Canada: CAD 1,975
 
Click on town name to book Schedule
This is an Instructor-Led Classroom course
This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.
Canada
Jul 27-28, 2020 Online Training 09:00 Canada/Eastern Enroll
Aug 24-25, 2020 Online Training 09:00 Canada/Eastern Enroll
Sep 21-22, 2020 Online Training 09:00 Canada/Central Enroll
Oct 19-20, 2020 Online Training 09:00 Canada/Central Enroll
Nov 16-17, 2020 Online Training 09:00 Canada/Pacific Enroll
Dec 14-15, 2020 Online Training 09:00 Canada/Pacific Enroll
United States
Jul 27-28, 2020 Online Training 09:00 US/Eastern Enroll
Aug 24-25, 2020 Online Training 09:00 US/Eastern Enroll
Sep 21-22, 2020 Online Training 09:00 US/Central Enroll
Oct 19-20, 2020 Online Training 09:00 US/Central Enroll
Nov 16-17, 2020 Online Training 09:00 US/Pacific Enroll
Dec 14-15, 2020 Online Training 09:00 US/Pacific Enroll

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