GCP Business Logic & Data Layer & Network Design

Business Logic

Microservices Design으로 이용됨.

Microservices example using Cloud Function

 

# 12-factor development tools and platforms in gcp

- cloud shell

- cloud source repository

- build app engine

- deployment manager templates

- custom images

- metadata server

- Instance templates, Managed instance groups, and autoscaling

 

# Scaling

- vertical caling

- horizontal scaling

 

# Tradeoffs

- balance latency

- capacity

- scalability

- cost

 

# Design first, dimension later

Design first

 

Dimension later

 

# Five Why's

https://en.wikipedia.org/wiki/5_Whys

5 Whys - Wikipedia

Data Layer

- data integrity

- data transaction property

 

* Google 20% policy

https://www.businessinsider.com/google-20-percent-time-policy-2015-4

The truth about Google's famous '20% time' policy

# BigQuery

- Data Warehouses

- log data에 적합함 (어느 순간의 로그 데이터)

 

# CloudSQL

- vertical scale

 

# CloudSpanner

- RDB

- single managed system 적합

Network

# Load balancing

# on-premise

# multi-cloud

 

* peering google

https://peering.google.com/#/

Google Edge Network

* status google

https://status.cloud.google.com/

Google Cloud Status Dashboard

 

Scale the backend processing of thumbnails

위 그림에서 Thumbnail Servers 들이 Data Storage Server로의 작업이 완료되었을 경우, Data Storage Server는 Trigger를 통하여 Upload Server로 알려줌

 

# App logs are growing situation

- Logging Server is statefull ==> independent each other ==> load balancer