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Is Kubernetes Serverless?

Linux Academy

The term “serverless” — the ability to run code without having to choose what to run it on — shares that same overall goal, which is to eliminate the need for a developer of an application to manage infrastructure, and have that taken care of by another service or component. The post Is Kubernetes Serverless? What is Kubernetes?

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Free Courses at Linux Academy — October 2019

Linux Academy

To continually support your mission to learn and grow, we are always adding new, free courses and resources for developing Linux and Cloud skills. Members of the Linux Academy community come together and share their insights and questions. After completing this brief course, you will be able to speak intelligently about Serverless.

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Going Serverless: Where to Start

Linux Academy

What is serverless framework? The Serverless Framework is an open-source project that replaces traditional platforms (hardware, operating systems) with a platform that can run in a cloud environment. Serverless is beneficial as it lets you focus on delivering a product, rather than managing typical IT problems. Why use it?

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Running Unikernels from Existing Linux Applications with OPS

The Crazy Programmer

Unikernels are an emerging deployment pattern that engineers are choosing over Linux and Docker because of their performance, security and size. OPS is a new free open source tool that allows anyone, including non-developers to instantly build and run unikernels on linux or mac from their existing software.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.

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Getting started with computer use in Amazon Bedrock Agents

AWS Machine Learning - AI

With computer use, Amazon Bedrock Agents can automate tasks through basic GUI actions and built-in Linux commands. For example, your agent could take screenshots, create and edit text files, and run built-in Linux commands. The following diagram illustrates the solution architecture.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Prerequisites As a prerequisite, you need to enable model access in Amazon Bedrock and have access to a Linux or macOS development environment. You can download Python from the official website or use your Linux distribution’s package manager. Access to Amazon Bedrock foundation models is not granted by default. The AWS CDK.