AWS Database Migration Service (DMS) is a fully managed service that helps migrate databases quickly and securely to AWS. It supports homogeneous (same database engine) and heterogeneous (different database engines) migrations with minimal downtime.
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tech22025-12-22
The article discusses the Chain-of-Draft (CoD) prompting technique, which offers a more efficient alternative to the traditional Chain-of-Thought (CoT) method for large language models. CoD reduces verbosity and improves cost efficiency and response times by limiting reasoning steps to five words or less. The authors demonstrate the implementation of CoD using Amazon Bedrock and AWS Lambda, showcasing significant reductions in token usage and latency while maintaining accuracy. The article emphasizes the practical benefits of CoD for organizations scaling their generative AI implementations.
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vision2025-11-17
The article introduces AWS Professional Services' new approach to consulting, leveraging agentic AI to enhance cloud adoption and digital transformation for organizations. It highlights the role of specialized AI agents in streamlining consulting processes, improving solution quality, and reducing project timelines. The integration of AI with human expertise is emphasized as a means to deliver better customer outcomes. Real-world examples, including the NFL's use of AWS agents, illustrate the tangible benefits of this innovative consulting model.
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project2025-11-13
The article discusses Yelp's transformation of its data infrastructure through the adoption of a streaming lakehouse architecture on AWS. This modernization aimed to address challenges related to data processing latency, operational complexity, and compliance with regulations like GDPR. By migrating from self-managed Apache Kafka to Amazon MSK and implementing Apache Paimon for storage, Yelp achieved significant improvements, reducing analytics data latencies from 18 hours to minutes and cutting storage costs by over 80%. The article outlines the architectural shifts and technologies involved in this transformation.
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product2024-12-10
The validation and remediation are interesting.
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