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#AWS.

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001

Amazon Aurora

Amazon Aurora is AWS's managed relational database service for MySQL- and PostgreSQL-compatible workloads. It is intended for applications that need a relational database without owning all of the underlying infrastructure, backups, replication, and failover. Aurora is not a universal replacement for every database: adopting it is an architecture, operations, cost, and AWS-commitment decision at the same time.

Recommend #database#cloud#postgresql
Developer Usage-based
002

Amazon Bedrock AgentCore Browser

A managed isolated browser runtime for AI agents, with session controls, live viewing, recording, and AWS permission boundaries.

Recommend #aws#browser automation#ai agents
AI Infrastructure Usage-based
003

Amazon Lex

Amazon Lex is AWS's service for building text- and voice-based conversational interfaces. Teams model bots with intents, slots, and dialogue paths, connect business logic through AWS Lambda, and deploy the result to web apps, applications, messaging channels, or a contact centre. The current Lex V2 platform adds AI-assisted capabilities to the classic NLU model, but it remains most useful for controlled conversation flows.

Recommend #chatbot#voice#conversational-ai
AI Usage-based
004

Amazon Redshift

Managed cloud data warehouse for SQL analytics, BI, and queries across structured data and selected data-lake sources.

Recommend #data warehouse#analytics#AWS
AI Infrastructure Usage-based
005

Amazon SageMaker Autopilot

AWS service for automated machine-learning experiments: inspect data, compare model candidates, review reports, and deploy predictions in real time or batches.

Recommend #ml#auto-ml#cloud
AI Infrastructure Usage-based