- Date
2022/12/21-22
- Time
09:30 – 17:30
(Total 16 training hours)
- Location
2/F, The Whitney, 183 Wai Yip Street, Kwun Tong
(Online class available)
- Language
Cantonese, Supplemented with English terminology
- Fee
HK$20,000
Course Information
Course Name: Architecting with Google Cloud: Design and Process
Certificate: A minimum of 70% attendance rate is required for awarding of a completion certificate
Application Deadline: 7 days before the course
Remark: Please Bring your own laptop (BYOD) to classes.
What Will You Achieve
- Apply a tool set of questions, techniques and design considerations
- Define application requirements and express them objectively as KPIs, SLO’s and SLI’s
- Decompose application requirements to find the right microservice boundaries
- Leverage Google Cloud developer tools to set up modern, automated deployment pipelines
- Choose the appropriate Google Cloud Storage services based on application requirements
- Architect cloud and hybrid networks
- mplement 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 Stackdriver tools
Who Is This Course For?
- Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers
- Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud
Requirement
- Have completed Architecting with Google Compute Engine, Architecting with Google Kubernetes Engine, or have equivalent experience
- Have basic proficiency with command-line tools and Linux operating system environments
- Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment
Course Outline
- 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
- 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
- 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
- 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 BigQuery
- 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 Network Intelligence Center
- Connect networks using peering and VPNs
- Create hybrid networks between Google Cloud and on-premises data centers
- 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
- 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 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
- Design secure systems using best-practices like separation of concerns, principle of least privilege and regular audits
- Leverage Google Cloud Security Command Center to help identify vulnerabilities
- Simplify cloud governance using or organization 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 with private IPs, firewalls and Google Cloud private access
- Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor
- Manage new service versions using rolling updates, blue-green deploymentsand canary releases
- Forecast, monitor and optimize service cost using the Google Cloud pricing calculator, billing reports and by analyzing billing data
- Observe if your services are meeting their SLOs using Stackdriver Monitoring and Dashboards
- Use Uptime Checks to determine service availability
- Respond to service outages using Stackdriver Alerts
