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

Kaseya

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. Google Cloud Platform Overview.

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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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

Openxcell

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.

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Lumigo raises $29M for its cloud-native application monitoring platform

TechCrunch

The company started with a focus on distributed tracing for serverless platforms like AWS’ API Gateway, DynamoDB, S3 and Lambda. It offers both a paid SaaS service (which includes a free tier ), as well as a free command line tool for analyzing and tuning services based on AWS Lambda and Kinesis. Image Credits: Lumigo.

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9 Best Free Node.js Hosting 2023

The Crazy Programmer

Try Render Vercel Earlier known as Zeit, the Vercel app acts as the top layer of AWS Lambda which will make running your applications easy. With the Google App Engine, developers can focus more on writing down code without worrying about managing its underlying infrastructure. It is simple to start with the App Engine guide.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Their AI engine can automatically learn data structures and relationships, simplifying the integration process and minimising the need for manual configuration. NLP can also be used to automatically generate data pipelines based on the content of data sources. billion by 2025.

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9 trends to watch in systems engineering and operations

O'Reilly Media - Ideas

If your job or business relies on systems engineering and operations, be sure to keep an eye on the following trends in the months ahead. This practice incorporates machine learning in order to make sense of data and keep engineers informed about both patterns and problems so they can address them swiftly.