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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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Transforming workloads: Harnessing AI within VMware environments

CIO

Think about this choice in terms of your own home, imagining your core business applications as the very foundation of your house, says Ken Bocchino, Group Product Manager at Google Cloud. IT teams maintain operational consistency by using their familiar on-premises tools to manage cloud workloads, eliminating retraining needs.

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

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud.

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8 Google Cloud Security Best Practices

Palo Alto Networks

Google has been making some great inroads with their cloud expansion. As with AWS and Azure, developers can adopt Google Cloud Platform (GCP) easily, seeking features for use in their application stacks. A Security Practitioners Guide to Best Practice GCP Security (Cloud Next ’18). Visibility.

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Ngrok, a service to help devs deploy sites, services and apps, raises $50M

TechCrunch

Ask Alan Shreve why he founded Ngrok , a service that helps developers share sites and apps running on their local machines or servers, and he’ll tell you it was to solve a tough-to-grok (pun fully intended) infrastructure problem he encountered while at Twilio. “Ngrok allows developers to avoid that complexity.”

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SaaS Platfrom Development – How to Start

Existek

We’ve decided to create this helpful guide for those who are at the beginning of their SaaS platform development journey. It focuses on core aspects and can make a difference in product management and development decisions. Getting this perspective makes your team follow some common steps before the development starts.

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

AWS Machine Learning - AI

You can customize this architecture to connect other solutions that you develop in AWS to Google Chat. Prerequisites To implement the solution outlined in this post, you must have the following: A Linux or MacOS development environment with at least 20 GB of free disk space. It can be a local machine or a cloud instance.