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Building Resilient Public Networking on AWS: Part 2

Xebia

Deploy Secure Public Web Endpoints Welcome to Building Resilient Public Networking on AWS—our comprehensive blog series on advanced networking strategies tailored for regional evacuation, failover, and robust disaster recovery. We’ll study the advantages and limitations associated with this technique.

AWS 147
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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

A cloud service provider generally establishes public cloud platforms, manages private cloud platforms and/or offers on-demand cloud computing services such as: Infrastructure-as-a-Service (IaaS) Software-as-a-Service (SaaS) Platform-as-a-Service (PaaS) Disaster Recovery-as-a-Service (DRaaS). Compliance, Security and Disaster Recovery.

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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

The software layer can consist of operating systems, virtual machines, web servers, and enterprise applications. The infrastructure engineer supervises all three layers making sure that the entire system. However, according to Steve Traugott , “that got me conflated with systems integrator, so I later defaulted to engineer myself.”.

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Important Practices for DevOps in the Cloud

OTS Solutions

Agile Project Management: Agile management is considered the best practice in DevOps when operating in the cloud due to its ability to enhance collaboration, efficiency, and adaptability. The cloud provides built-in redundancy, failover mechanisms, and disaster recovery options.

DevOps 130
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AoAD2 Practice: Evolutionary System Architecture

James Shore

To share your thoughts, join the AoAD2 open review mailing list. Evolutionary System Architecture. What about your system architecture? By system architecture, I mean all the components that make up your deployed system. Your network gateways and load balancers. Your feedback is appreciated!

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KubeCon San Diego Summary: Top Ten Takeaways (Part 2)

Daniel Bryant

They liked the idea of having disaster recovery/business continuity (DR/BC) plans that allowed for the failover of one cloud’s workloads to another, but admitted in reality this wasn’t really viable at the moment, primarily from a cost of multiples in learning, implementation, and maintenance.