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Discover, Protect and Respond with AWS and Prisma Cloud

Prisma Clud

The Problem — The Complexity of Cloud Environments The complex landscape of cloud services, particularly in multi-cloud environments, poses significant security challenges for organizations. Together, Palo Alto Networks and AWS can help you effectively address these challenges and confidently navigate this complex terrain.

AWS 105
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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. It stores information such as job ID, status, creation time, and other metadata.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem.

Cloud 147
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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This systematic approach leads to more reliable and standardized evaluations.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

AWS 119
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Google’s AI innovations at Cloud Next 2025: What CIOs need to know

CIO

At Cloud Next 2025, Google announced several updates that could help CIOs adopt and scale agents while reducing integration complexity and costs. While Microsoft offers agent-building capabilities via Copilot Studio and Azure Studio inside Azure AI Foundry, AWS offers agent-building capabilities via Amazon Bedrock.

Cloud 139
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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.