技能档案

Google Cloud Platform

GKE, BigQuery, Cloud Functions, Pub/Sub, Spanner, Cloud Storage, IAM

Cloud & Infrastructure Cloud Providers

角色数

2

包含此技能的角色

级别数

5

结构化成长路径

必要要求

10

其余 0 个可选

领域

Cloud & Infrastructure

skills.group

Cloud Providers

最后更新

2026/3/17

如何使用

选择当前级别并对比期望。下方卡片显示晋升所需掌握的内容。

各级别期望

表格展示从初级到首席的技能深度变化。点击行查看详情。

角色 必要性 描述
Cloud Engineer 必要 Understands core GCP services: Compute Engine, Cloud Storage, VPC, and IAM. Uses gcloud CLI for basic resource provisioning. Follows project structure and labeling conventions.
Platform Engineer 必要 Understands GCP platform services: GKE, Cloud Run, and Cloud Build. Configures basic infrastructure using Terraform with GCP provider. Works with Artifact Registry and Cloud Logging.
角色 必要性 描述
Cloud Engineer 必要 Independently configures and manages Google Cloud Platform. Writes IaC for common tasks. Understands networking and security basics.
Platform Engineer 必要 Independently configures and manages Google Cloud Platform. Writes IaC for typical tasks. Understands networking and security basics.
角色 必要性 描述
Cloud Engineer 必要 Designs infrastructure solutions with Google Cloud Platform. Optimizes cost and performance. Introduces best practices and security hardening.
Platform Engineer 必要 Designs infrastructure solutions with Google Cloud Platform. Optimizes cost and performance. Implements best practices and security hardening.
角色 必要性 描述
Cloud Engineer 必要 Defines infrastructure strategy with Google Cloud Platform. Establishes IaC standards. Conducts architecture review. Optimizes FinOps.
Platform Engineer 必要 Defines infrastructure strategy with Google Cloud Platform. Establishes IaC standards. Conducts architecture reviews. Optimizes FinOps.
角色 必要性 描述
Cloud Engineer 必要 Defines GCP strategy in multi-cloud architecture: BigQuery for analytics, GKE Autopilot for Kubernetes, Anthos for hybrid cloud. Designs GCP integration with AWS/Azure, evaluates GCP advantages for ML/AI workloads and data-intensive applications.
Platform Engineer 必要 Defines GCP usage strategy in multi-cloud platform: GKE Autopilot, BigQuery for analytics, Cloud Run for serverless. Designs inter-cloud connectivity and workload portability. Evaluates GCP-specific capabilities (Anthos, Config Connector) for extending IDP capabilities.

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📋 提案
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