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Cloud & DevOps · Tool

Google Cloud

Data, containers and serverless on Google's cloud.

01Overview

Google Cloud stands out in data, containers and serverless. I include it in architecture decisions alongside AWS and Azure, choosing the platform that best fits each product's constraints.

02Key concepts

What anyone working with it needs to understand

  1. 01

    Projects & IAM

    Resource hierarchy and access control.

  2. 02

    Cloud Run & Functions

    Serverless containers and functions.

  3. 03

    GKE

    Managed Kubernetes for container workloads.

  4. 04

    Firestore & Cloud SQL

    Managed NoSQL and relational options.

  5. 05

    BigQuery

    Serverless analytics at scale.

  6. 06

    Operations suite

    Logging, monitoring and tracing.

03In practice
One of the three clouds in my toolkit (AWS, Azure and Google Cloud), including Firestore as a data store.
04Related