Remove Scalability Remove Serverless Remove Virtualization
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Go Serverless: Unleash Next-Gen Computing

Dzone - DevOps

In the digital revolution, where bytes fly faster than thoughts, one concept is bringing a paradigm shift in the tech cosmos: serverless computing. Server maintenance, scalability issues, and huge infrastructure costs can all be part of our nightmares. This is where serverless computing can be a game-changer.

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

AWS Machine Learning - AI

or greater): python3 -m venv.venv Activate the virtual environment: source.venv/bin/activate Install the AWS CDK, which is in the required Python dependencies: pip install -r requirements.txt Configure the Streamlit application Complete the following steps to configure the Streamlit application: In the docker_app directory, locate the config_file.py

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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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Mastering Azure management: A comparative analysis of leading cloud platforms

CIO

With a wide range of services, including virtual machines, Kubernetes clusters, and serverless computing, Azure requires advanced management strategies to ensure optimal performance, enhanced security, and cost efficiency. Enterprises must focus on resource provisioning, automation, and monitoring to optimize cloud environments.

Azure 88
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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

Select Security and Networking Options On the Networking and Security tabs, configure the security settings: Managed Virtual Network: Choose whether to create a managed virtual network to secure access. If creating a new storage account, youll need to provide a name for the File System within this storage.

Azure 91
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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

An example is a virtual assistant for enterprise business operations. Such a virtual assistant should support users across various business functions, such as finance, legal, human resources, and operations. Multiple task domains Certain applications need to serve users across multiple domains of expertise.

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Improve public speaking skills using a generative AI-based virtual assistant with Amazon Bedrock

AWS Machine Learning - AI

Now, with the advent of large language models (LLMs), you can use generative AI -powered virtual assistants to provide real-time analysis of speech, identification of areas for improvement, and suggestions for enhancing speech delivery. Outside of work, Akshay enjoys traveling, Formula 1, making short movies, and exploring new cuisines.