Google Kubernetes Engine

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factors that influence liveability

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SWOT Analysis Brazil

от Laura McGuire

Cloud Run

Use case

HTTP applications

Automatic public HTTPS URL

Any language, framework & libraries

Pay-per-use

Automatic scaling based on HTTP requests

Invisible Infrastructure

Cloud Run on GKE

Simplicity of serverless

'invisible' infrastructure

Adds specific GKE features

Public or internal

Custom networking

Additional machine customisation, like: Memory, CPU & GPUs

Anthos

Kubernetes

Google Kubernetes Engine

Features

GCP Load balancing

Certified Kubernetes

Integrated Dashboard in GCP console

HIPAA and PCI DSS 3.1 Complaint

Managed Container Registry

Runs on Google Network

Managed by Google SREs

Logging and monitoring with Stackdriver

Automatic upgrades

Automatic scaling