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Better together? Why AWS is unifying data analytics and AI services in SageMaker

CIO

This unification of analytics and AI services is perhaps best exemplified by a new offering inside Amazon SageMaker, Unified Studio , a preview of which AWS CEO Matt Garman unveiled at the companys annual re:Invent conference this week.

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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Some companies are already on the bandwagon. Gen AI tools are advancing quickly, he says.

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Building Resilient Public Networking on AWS: Part 4

Xebia

Region Evacuation with static anycast IP approach Welcome back to our comprehensive "Building Resilient Public Networking on AWS" blog series, where we delve into advanced networking strategies for regional evacuation, failover, and robust disaster recovery. Find the detailed guide here.

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Boost Your Productivity with awscurl: Simplifying IAM-Secured API Testing in AWS

Xebia

When you use AWS, you can interact with it through the console, sdk, or cli. When you develop a workload or work on a PoC , you will also use the IAM service. You can use it to perform any API call that supports sigv4, but for the majority of services, the AWS cli tool is the best tool for the job.

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Monitoring AWS Container Environments at Scale

Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Containers power many of the applications we use every day.

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

AWS Machine Learning - AI

However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping and interacting with their business users. With Streamlit, you can quickly build and iterate on your application without the need for extensive frontend development experience.

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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.

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently. Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? Javier Ramirez will present: The typical steps for building a data lake.