Remove Infrastructure Remove Load Balancer Remove Operating System Remove Serverless
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Building Resilient Public Networking on AWS: Part 2

Xebia

Region Evacuation with DNS approach: At this point, we will deploy the previous web server infrastructure in several regions, and then we will start reviewing the DNS-based approach to regional evacuation, leveraging the power of AWS Route 53. We’ll study the advantages and limitations associated with this technique.

AWS 147
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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

Infrastructure is quite a broad and abstract concept. Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. What is an infrastructure engineer? (80, Key components of IT infrastructure. This environment or — infrastructure — consists of three layers.

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Weekly Update 6-3-2019

Linux Academy

This week, we’re talking all about serverless computing, what it is, why it’s relevant, and the release of a free course that can be enjoyed by everyone on the Linux Academy platform, including Community Edition account members. Serverless Computing: What is it? Configure auto-scaling with load balancers. Now h old up.

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Amazon ECS Overview: What You Need To Know

ParkMyCloud

With ECS, you can deploy your containers on EC2 servers or in a serverless mode, which Amazon calls Fargate. Benefits of Amazon ECS include: Easy integrations into other AWS services, like Load Balancers, VPCs, and IAM. Not yet using containers, but have other AWS infrastructure? We can help control costs.

AWS 59
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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Some of the key AWS tools and components which are used to build Microservices-based architecture include: Computing power – AWS EC2 Elastic Container Service and AWS Lambda Serverless Computing. Networking – Amazon Service Discovery and AWS App Mesh, AWS Elastic Load Balancing, Amazon API Gateway and AWS Route 53 for DNS.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

It started as a feature-poor service, offering only one instance size, in one data center, in one region of the world, with Linux operating system instances only. There was no monitoring, load balancing, auto-scaling, or persistent storage at the time. One example of this is their investment in chip development.

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AWS vs Azure vs Google Cloud: What’s the best cloud platform?

Openxcell

In 2006, it was the pioneer of public cloud computing and started supplying businesses with web services for their IT infrastructure. Besides IaaS and PaaS, Google Cloud Platform provides serverless options, including computation, databases, storage, networking options, and database management.