In this third part from the series of articles on the “Amazon Web Services (AWS) Open Source » We will continue our exploration of the vast and growing catalog of open apps developed by the Technological Giant de «Amazon.
In order to continue expanding our knowledge of the open applications released by each of the Technological Giants of the group known as GAFAM. What, as many already know, is made up of the following North American companies: "Google, Apple, Facebook, Amazon and Microsoft".
For those interested in exploring our initial publication related to the topic, you can click on the following link, after finishing reading this publication:
While, to explore the related previous parts of this series, you can click on the following link:
AWSOS-P3: Amazon Web Services (AWS) Open Source - Part 3
Applications of the AWS Open Source
Remember that, the AWS Open Source can be explored through the following 3 links below GitHub:
And that we are currently exploring the applications contained in the first. Therefore, the next 3 applications to comment are:
sockeye
Briefly, on the website «AWS Open Source » of the AWSOS describe this software development as follows:
"A Sequence-to-Sequence Framework focused on Apache MXNet-based neural machine translation."
While his Official website add the following on top of it, as follows:
“With the current version 2.0 of Sockeye, the use of MXNet has also been updated by switching to the Gluon API and adding support for several next-generation features such as distributed training, low precision training and decoding, as well as debugging. easiest of neural network architectures. "
Finally, from your official site on GitHub It is worth highlighting the following information:
“Sockeye powers several machine translation use cases, including Amazon Translate. The framework implements state-of-the-art machine translation models with Transformers. "
Note: Much more information about sockeye can be obtained in the Official Amazon Blog, such as in the following link.
AWS CLI
Briefly, on the website «AWS Open Source » of the AWSOS describe this software development as follows:
"It's the universal Command Line Interface (CLI) for Amazon Web Services."
While his website on GitHub add the following on top of it, as follows:
“The different versions of AWS CLI work with Python 2.7, 3.X, but its latest version 1.19.33 dated 29/10/2020, no longer has compatibility with Python 3.4 and Python 3.5, so those who use it they must use it under Python 3.6, 3.7 and 3.8, in order to continue receiving feature and security updates. "
Note: Much more information about AWS CLI can be obtained in the Official Amazon Blog, such as in the following link.
Chalice
Briefly, on the website «AWS Open Source » of the AWSOS describe this software development as follows:
"It's a serverless Python Microframework for AWS that enables you to quickly build and deploy applications that use Amazon API Gateway and AWS Lambda."
While, of his official section on Amazon It is worth highlighting the following information:
"Chalice makes it easy to focus on writing the application code instead of the resources or services needed to deploy them, since it automatically determines how to provision the necessary resources for you."
Finally, your website on GitHub add the following on top of it, as follows:
“Chalice provides a command line tool to create, deploy and manage your applications on AWS. And it offers a decorator-based API to integrate with Amazon API Gateway, Amazon S3, Amazon SNS, Amazon SQS, and other AWS services. In addition, it allows the automatic generation of IAM policies. "
Note: Much more information about Chalice can be obtained in the Official Amazon Blog, such as in the following link.
Conclusion
We hope this "useful little post" on this third exploration of «AWS Open Source (AWSOS)»
, offers an interesting and wide variety of open applications developed by the Technological Giant of «Amazon»
; and is of great interest and utility, for the entire «Comunidad de Software Libre y Código Abierto»
and of great contribution to the diffusion of the wonderful, gigantic and growing ecosystem of applications of «GNU/Linux»
.
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