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AWS Machine Learning

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AWS Machine Learning

02.04.2025

Introducing AWS MCP Servers for code assistants (Part 1) | AWS Machine Learning Blog

We’re 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. In this post, we walk through how these specialized MCP servers can dramatically reduce your development time while incorporating security controls, cost optimizations, and AWS Well-Architected best practices into your code.

AWS Machine Learning

02.04.2025

Harness the power of MCP servers with Amazon Bedrock Agents | AWS Machine Learning Blog

Today, MCP is providing agents standard access to an expanding list of accessible tools that you can use to accomplish a variety of tasks. In this post, we show you how to build an Amazon Bedrock agent that uses MCP to access data sources to quickly build generative AI applications.

AWS Machine Learning

02.04.2025

AWS App Studio introduces a prebuilt solutions catalog and cross-instance Import and Export | AWS Machine Learning Blog

In a recent AWS What’s New Post, App Studio announced two new features to accelerate application building: Prebuilt solutions catalog and cross-instance Import and Export. In this post, we walk through how to use the prebuilt solutions catalog to get started quickly and use the Import and Export feature

AWS Machine Learning

02.04.2025

Using StatsD for monitoring Oracle databases running on Amazon RDS or Amazon EC2 | AWS Database Blog

Monitoring databases is essential in large IT environments to prevent potential issues from becoming major problems that can result in data loss or downtime. Having custom dashboards and alarm-based monitoring for the database can help in analyzing historical metrics patterns and improve database availability by alerting users of any abnormal threshold breaches. In this post, we show you how to set up monitoring for your Oracle database using StatsD.

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