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Transforming workloads: Harnessing AI within VMware environments

CIO

For those enterprises with significant VMware deployments, migrating their virtual workloads to the cloud can provide a nondisruptive path that builds on the IT teams already-established virtual infrastructure. In Google Cloud, IT has all that it needs to scale up quickly to enable AI with their existing virtual infrastructure.

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Can we trust Google Cloud Load Balancing?

Xebia

With Cloud getting a more prominent place in the digital world and with that Cloud Service Providers (CSP), it triggered the question on how secure our data with Google Cloud actually is when looking at their Cloud Load Balancing offering. The others merely process and forward the requests.

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Red Hat Brings Ansible Automation to Google Cloud

DevOps.com

Red Hat today announced that the Red Hat Ansible Automation Platform is now available on Google Cloud to simplify the management of yet another cloud platform.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. What Are the Advantages of Azure Cloud?

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8 Google Cloud Security Best Practices

Palo Alto Networks

If you’ll be at Google Next this week in San Francisco, stop by booth S1739 and check out a demo of how we help secure public cloud environments. Google has been making some great inroads with their cloud expansion. A Security Practitioners Guide to Best Practice GCP Security (Cloud Next ’18). Visibility.

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VPC Service Controls – A step by step guide

Xebia

When defining a cloud environment you will most likely configure a network (Virtual Private Cloud: VPC). One of the best practices when designing your cloud platform is to only use private IP addresses for the compute and data resources (listed under RFC-1918 ), that cannot be resolved from the public internet.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

A Business or Enterprise Google Workspace account with access to Google Chat. You also need a Google Cloud project with billing enabled. We recommend that you create a virtual environment within this project, stored under the.venv. The following animation illustrates these steps on the Google Cloud console.