Reliable Google Cloud Infrastructure: Design and Process 수료완료! - 8/16

방학 때 PCA와 ACE를 모두 취득하겠다고 다짐했지만
시험이 1주 미뤄진 관계로 다음주와 9월초에 두 개의 시험을 보게 될 것 같다. 아직 부족한 것 같았는데 잘 된 것 같기도 하다..ㅎ

그래서 코세라를 하나 더 수료했다는 이야기..!
이번 코세라는 케이스 스터디가 많아서 좋았다.

• 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 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 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.
• 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.
• 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.
• 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.
• 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.
• 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.