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Fundamentals of Data Engineering

Xebia

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. “Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.

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On Building a Platform Team

Honeycomb

Turns out, it’s a lot: Handle the relationship with your cloud provider Provide guidance on the best cloud provider usage Test out new cloud features Look for hosting cost opportunities Manage Kubernetes infrastructure Managing development environments Testing frameworks Deployment framework (maybe?)

DevOps 73
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Serverless and Edge Runtime

Apiumhub

It is quite a radical shift in paradigm; it emphasizes the importance of developers addressing their business problems at hand rather than worrying about the server infrastructure. Like with most aspects of software engineering, whether to go serverless is a sensible idea depends on your circumstances.

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DZone Repost: Testing Serverless Functions

OpenCredo

Serverless computing, or functions-as-a-service, has picked up a lot of attention and speed due to its cost-effective pay-as-you-go price offering, multi-language/runtime support, as well as its easy learning curve without any need to provide the infrastructure layer. Running Serverless Functions Without the Cloud. Google Cloud.

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Cloud Adoption in 2020

O'Reilly Media - Ideas

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Public cloud dominates, but most organizations use a mix of cloud options; almost half (49%) continue to run applications in traditional, on-premises contexts.

Cloud 143