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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 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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Building Resilient Public Networking on AWS: Part 2

Xebia

Public Application Load Balancer (ALB): Establishes an ALB, integrating the previous SSL/TLS certificate for enhanced security. Public Application Load Balancer (ALB): Establishes an ALB, integrating the previous certificate. The ALB serves as the entry point for our web container.

AWS 147
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Announcing Complete Azure Observability for Kentik Cloud

Kentik

Live traffic flow arrows demonstrate how Azure Express Routes, Firewalls, Load Balancers, Application Gateways, and VWANs connect in the Kentik Map, which updates dynamically as topology changes for effortless architecture reference. It also provides custom alerts and synthetic testing for each environment, including Azure.

Azure 105
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4 Types of Idle Cloud Resources That Are Wasting Your Money

ParkMyCloud

The typical “idle resources” that come to mind are instances purchased On Demand that are being used for non-production purposes like development, testing, QA, staging, etc. In order to fully understand the problem of idle cloud resources, we have to expand this scope beyond just your typical virtual machine. .

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3 Key Differences Between a Web Site and a Web Application

Invid Group

Many people even build websites now using Amazon S3, Azure Storage, or Google Cloud Storage. You’ll frequently need back-end servers, database servers, load balancers, scripting languages, AJAX calls, REST APIs, and more to make the application work as expected.

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

Allows them to iteratively develop processing logic and test with as little overhead as possible. With the general availability of DataFlow Designer, developers can now implement their data pipelines by building, testing, deploying, and monitoring data flows in one unified user interface that meets all their requirements.

Agile 88