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#intermediate

6 posts5 participants0 posts today
PostgreSQL
Integrating Amazon OpenSearch Ingestion with Amazon RDS and Amazon Aurora We are happy to announce the general availability of the integration of Amazon OpenSearch Service with Amazon Relational Da...

#Amazon #Aurora #Amazon #OpenSearch #Service #Amazon #RDS #Analytics #Intermediate #(200)

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Amazon Web Services · Integrating Amazon OpenSearch Ingestion with Amazon RDS and Amazon Aurora | Amazon Web ServicesWe are happy to announce the general availability of the integration of Amazon OpenSearch Service with Amazon Relational Database Service (Amazon RDS) and Amazon Aurora. This new integration eliminates complex data pipelines and enables near real-time data synchronization between Amazon Aurora (including Amazon Aurora MySQL-Compatible Edition and Amazon Aurora PostgreSQL-Compatible Edition) and Amazon RDS databases (including Amazon RDS for MySQL and Amazon RDS for PostgreSQL), and Amazon OpenSearch Service, unlocking advanced search capabilities such as hybrid search, ranked results, and faceted search on transactional databases.
LLMs
Monitor agents built on Amazon Bedrock with Datadog LLM Observability We’re excited to announce a new integration between Datadog LLM Observability and Amazon Bedrock Agents that helps monitor ag...

#Amazon #Bedrock #Agents #DevOps #Intermediate #(200) #Monitoring #and #observability #Partner #solutions

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Amazon Web Services · Monitor agents built on Amazon Bedrock with Datadog LLM Observability | Amazon Web ServicesWe’re excited to announce a new integration between Datadog LLM Observability and Amazon Bedrock Agents that helps monitor agentic applications built on Amazon Bedrock. In this post, we'll explore how Datadog's LLM Observability provides the visibility and control needed to successfully monitor, operate, and debug production-grade agentic applications built on Amazon Bedrock Agents.
Python-Job-Alert
Orchestrate data processing jobs, querybooks, and notebooks using visual workflow experience in Amazon SageMaker Today, we are excited to launch a new visual workflows builder in SageMaker Unified ...

#Amazon #SageMaker #Unified #Studio #Announcements #Intermediate #(200) #Technical #How-to

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Amazon Web Services · Orchestrate data processing jobs, querybooks, and notebooks using visual workflow experience in Amazon SageMaker | Amazon Web ServicesToday, we are excited to launch a new visual workflows builder in SageMaker Unified Studio. With the new visual workflow experience, you don’t need to code the Python DAGs manually. Instead, you can visually define the orchestration workflow in SageMaker Unified Studio, and the visual definition is automatically converted to a Python DAG definition that is supported in Airflow.This post demonstrates the new visual workflow experience in SageMaker Unified Studio.
#howto
Kubernetes
How INRIX accelerates transportation planning with Amazon Bedrock INRIX pioneered the use of GPS data from connected vehicles for transportation intelligence. In this post, we partnered with Amazon...

#Amazon #Bedrock #Amazon #Nova #Artificial #Intelligence #Customer #Solutions #Intermediate #(200) #artificial-intelligence

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Amazon Web Services · How INRIX accelerates transportation planning with Amazon Bedrock | Amazon Web ServicesINRIX pioneered the use of GPS data from connected vehicles for transportation intelligence. In this post, we partnered with Amazon Web Services (AWS) customer INRIX to demonstrate how Amazon Bedrock can be used to determine the best countermeasures for specific city locations using rich transportation data and how such countermeasures can be automatically visualized in street view images. This approach allows for significant planning acceleration compared to traditional approaches using conceptual drawings.
#artificialintelligence
Kubernetes
Remote access to AWS: A guide for hybrid workforces Amazon Web Services (AWS) customers can enable secure remote access to their cloud resources, supporting business operations with both speed and ...

#Best #Practices #Intermediate #(200) #Security, #Identity, #& #Compliance #Security #Blog

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Amazon Web Services · Remote access to AWS: A guide for hybrid workforces | Amazon Web ServicesAmazon Web Services (AWS) customers can enable secure remote access to their cloud resources, supporting business operations with both speed and agility. As organizations embrace flexible work environments, employees can safely connect to AWS resources from various locations using different devices. AWS provides comprehensive security solutions that help organizations maintain strong protection of corporate resources, […]
#identity
LLMs
Build an intelligent multi-agent business expert using Amazon Bedrock In this post, we demonstrate how to build a multi-agent system using multi-agent collaboration in Amazon Bedrock Agents to solv...

#Amazon #Bedrock #Amazon #Bedrock #Agents #Generative #AI #Intermediate #(200) #Technical #How-to

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Amazon Web Services · Build an intelligent multi-agent business expert using Amazon Bedrock | Amazon Web ServicesIn this post, we demonstrate how to build a multi-agent system using multi-agent collaboration in Amazon Bedrock Agents to solve complex business questions in the biopharmaceutical industry. We show how specialized agents in research and development (R&D), legal, and finance domains can work together to provide comprehensive business insights by analyzing data from multiple sources.
#howto
PostgreSQL
No-code data preparation for time series forecasting using Amazon SageMaker Canvas Amazon SageMaker Canvas offers no-code solutions that simplify data wrangling, making time series forecasting acce...

#Amazon #SageMaker #Amazon #SageMaker #Data #Wrangler #Intermediate #(200) #Technical #How-to

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Amazon Web Services · No-code data preparation for time series forecasting using Amazon SageMaker Canvas | Amazon Web ServicesAmazon SageMaker Canvas offers no-code solutions that simplify data wrangling, making time series forecasting accessible to all users regardless of their technical background. In this post, we explore how SageMaker Canvas and SageMaker Data Wrangler provide no-code data preparation techniques that empower users of all backgrounds to prepare data and build time series forecasting models in a single interface with confidence.
#howto
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