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

Kaseya

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. Cost-Efficient.

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Network Traffic Intelligence for ISPs

Kentik

Why Every ISP Needs a Robust Network Monitoring Solution. To do that in today’s network environment, ISPs need deeper network visibility. It used to be that cloud-scale network monitoring was within reach of only the biggest, richest organizations, those that were most software-savvy and R&D-heavy.

Network 40
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What’s Free at Linux Academy — March 2019

Linux Academy

Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. Big Data Essentials — Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 80
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Top 8 uses of cloud computing

CircleCI

You can spin up virtual machines (VMs) , Kubernetes clusters , domain name system (DNS) services, storage, queues, networks, load balancers, and plenty of other services without lugging another giant server to your datacenter. Big data analytics. The cloud offers plenty of solutions for big data analytics.

Cloud 52
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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. Network infrastructure engineer. Infrastructure is quite a broad and abstract concept.

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Massive Scale Visibility Challenges Inside Hyperscale Data Centers

Kentik

Hyperscale data centers are true marvels of the age of analytics, enabling a new era of cloud-scale computing that leverages Big Data, machine learning, cognitive computing and artificial intelligence. Massive scale presents data center operators with new types of network visibility and performance management challenges.

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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Storage – Secure Storage ( Amazon S3 ) and Amazon ElastiCache. Networking – Amazon Service Discovery and AWS App Mesh, AWS Elastic Load Balancing, Amazon API Gateway and AWS Route 53 for DNS. Databases – Amazon RDB, Amazon Aurora, Amazon DynamoDB and dozens more.