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.
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