Cursos

Architecting with Google Cloud Platform: Design and Process

950.00 +Iva

Dias: 2
Duração: 14 horas
Próxima Data: 10/02/2022 a 11/02/2022
Área: Cloud Infrastructure
Certificação Associada: 

This course is part of the following Certifications:

Google Cloud Certified Professional Cloud DevOps Engineer (PCDOE)
Google Cloud Certified Professional Cloud Architect (PCA)

Local: Lisboa e Porto

*Curso disponível em Live Training

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Descrição

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.

Destinatários

  • 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

Programa

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

Pré-requisitos

  • Have completed Architecting with Google Compute Engine (AGCE), Architecting with Google Kubernetes Engine (AGKE), or have equivalent experience;
  • Basic proficiency with command-line tools and Linux operating system environments;
  • Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment

Outras datas

17/06/2022 a 18/06/2022