Why We Switched to Google Cloud Platform – Tehrani.com – Comm & Tech Blog

#News(IoTStack) [ via IoTGroup ]

Headings…
Why We Switched to Google Cloud Platform
Tehrani.com – Comm & Tech Blog

Auto extracted Text……

As IoT application deployments go global, customers demand more—greater flexibility and choice, better alignment to business objectives, and meaningful improvements to IoT program capabilities, cost, and security.
But after an extensive evaluation of both providers, we at Aeris (an IoT technology partner with over a decade of experience deploying IoT projects for Fortune 100 companies) decided to use Google Cloud Platform (GCP).
We chose Google Cloud Platform (GCP) for our production environment due to several factors, including Kubernetes maturity, VPC IP networking capabilities, open-source APIs, costs, and governance.
Cloud 2.0 is primarily about leveraging managed Kubernetes, which provides superior compute density for cost savings as well as orchestrated flexibility for more accurate deployments and performance.
Our analysis showed that GCP’s Google Kubernetes Engine (GKE) is the best, most mature managed Kubernetes platform, which isn’t especially surprising since Google invented Kubernetes and continues to make regular contributions and updates to it in the open source community.
Fusion IoT is a cloud-native IoT network, and we wanted to move to a cloud provider with the best IP networking capabilities.
Google’s Global Virtual Private Cloud (VPC) IP networking capabilities are the best we have seen of any cloud provider.
The Google IP network, coupled with the Aeris cellular IoT network, will allow us to give our customers unprecedented performance, security, and flexibility.
The emerging interoperable standards for PaaS are being driven by adoption of open source APIs. Other cloud providers are also doing this, but Google is taking the lead in this area.
The GCP Project Organization feature provides superior capabilities for cost control and visibility across different product lines and product deployment lifecycle phases.
In addition, Custom Instance Types in GCP provide more flexibility at better cost than other cloud providers’ rigid instance types

Read More..
AutoTextExtraction by Working BoT using SmartNews 1.02976805238 Build 26 Aug 2019