Referensi Arsitektur Google Cloud

Saat benar-benar membangun solusi di GCP, situs ini menampilkan diagram struktur komponen cloud berdasarkan bidang penerapan, dan merangkum penjelasan singkat untuk tiap komponen masing-masing dalam satu halaman.

Ada total 112 referensi yang ditampilkan, dan sepertinya akan lebih praktis untuk dijadikan rujukan jika setidaknya daftar judulnya disusun, jadi saya merangkumnya menjadi satu daftar di bawah ini.

Infrastructure Modernization

→ Hybrid

⇨ Hybrid with On-Premise Data and Applications

⇨ Hybrid Kubernetes and on-prem services with Istio

⇨ Cloud bursting

⇨ Business continuity hybrid/multi-cloud

⇨ Environment hybrid

⇨ Edge hybrid

⇨ Analytics hybrid/multi-cloud

⇨ Tiered Hybrid

→ Networking

⇨ Floating IP addresses

⇨ Using Your Own Public IP addresses

⇨ High Availability NAT

⇨ Latency optimized Travel Sample Architecture

→ Migrations

⇨ DB2 On GCP

⇨ HA DB2 on GCP

⇨ Postgres to GCP

⇨ Oracle to Spanner

⇨ DynamoDB to Spanner

→ Security and Compliance

⇨ PCI

⇨ Tokenizing Cardholder data for PCI

⇨ Binary K8S Auth

⇨ Multiple Network Interfaces

→ Windows

⇨ Federate with AD

⇨ Federate with Azure AD

→ HPC

⇨ Singularity Containers with Cloud Build

⇨ Host Jupyter Notebooks in a Slurm Cluster

⇨ Provision GKE storage using the NFS-Client

Data Management

→ Databases

⇨ DB2 On GCP

⇨ HA DB2 on GCP

⇨ Postgres to GCP

⇨ Oracle to Spanner

⇨ Gaming Backend Database

→ Storage

⇨ DR Cold standby server

⇨ DR Warm static site

⇨ DR with Application Replication

⇨ Hosting Avere vFXT filer on GCP

⇨ DR - Hot HA across GCP and on Premises

⇨ DR - Cold from On-Premises to GCP with App

→ SAP

⇨ SAP Hybrid on GKE

⇨ SAP S/4

⇨ SAP S/4 Distributed

⇨ HA SAP HANA

⇨ SAP HANA Dynamic Tiering

⇨ SAP Business One

⇨ SAP Netweaver 3 Tier

⇨ SAP Business Suite

→ Energy

⇨ Oil and Gas

→ Healthcare

⇨ Genomics, Secondary Analysis

⇨ Patient Monitoring

⇨ Variant Analysis

⇨ Healthcare API Analytics

⇨ Healthcare API ML

⇨ Radiological Image Extraction

⇨ ML on EHR via Healthcare API

→ Media

⇨ Transcoding

⇨ Live Streaming

⇨ Rendering

⇨ Hybrid Rendering

⇨ Virtual Studio

App Development

→ AppDev

⇨ Microservices with GKE

⇨ Microservices with App Engine

⇨ Serverless Web Scraping

⇨ REST and gRPC APIs with Cloud Endpoints

⇨ Mobile Site Hosting

⇨ Firebase and Google App Engine

→ DevOps

⇨ Jenkins on Kubernetes Engine

⇨ Continuous Delivery with Spinnaker

⇨ Scale Testing with Kubernetes and Locust

⇨ UI Testing with Kubernetes and Selenium

→ Serverless

⇨ Event Driven

⇨ Mobile Site Hosting

⇨ Platform Services on App Engine

⇨ Firebase and Google App Engine

⇨ Serverless Web Scraping

→ IoT

⇨ Remote Monitoring

⇨ IoT MQTT Bridge

⇨ Smart Home Devices

⇨ Cloud to Edge ML

→ Gaming

⇨ Mobile Game Backend

⇨ Gaming Analytics

⇨ Optimizing Large-Scale Analytics

⇨ Platform Services on App Engine

⇨ Hybrid/Multi-cloud game infrastructure

⇨ Backend Database

⇨ Matchmaking using Open Match

Smart Analytics

→ Big Data

⇨ Data Warehouse Modernization

⇨ Log Processing

⇨ Time Series Analysis

⇨ Data Lake

⇨ Real-Time Inventory

→ Data Warehouse

⇨ Data Lake

⇨ Shopping Cart Analysis

⇨ DMP

→ AI and ML

⇨ Recommendation Engines

⇨ Chatbot with Dialogflow

⇨ TensorFlow on GPU

⇨ Low Latency ML Serving

⇨ Feature Embeddings

⇨ Semantic Similarity

→ AdTech and MarTech

⇨ Real-Time Bidding

⇨ DMP / Data Warehouse

⇨ Publisher side analysis

⇨ Serverless Pixel Tracking

→ Retail & Commerce

⇨ Fraud Detection

⇨ Real-Time Inventory

⇨ Beacons and Targeted Marketing

⇨ Shopping Cart Analysis

⇨ Recommendation Engines

⇨ PCI

→ Financial Service

⇨ Monte Carlo Simulations

⇨ Time Series Analysis

⇨ Fraud Detection

⇨ Modernized Risk Analytics

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