AWS News Blog Amazon Personalize â Real-Time Personalization and Recommendation for Everyone Machine learning definitely offers a wide range of exciting topics to work on, but thereâs nothing quite like personalization and recommendation. At first glance, matching users to items that they may like sounds like a simple problem. However, the task of developing an efficient recommender system is chal
AWS Big Data Blog Best Practices for Running Apache Kafka on AWS NOTE: This blog post was written before the launch of Amazon MSK, a fully managed, highly available, and secure service for Apache Kafka. We recommend using Amazon MSK instead of running your own Apache Kafka cluster in EC2. If you need to run Apache Kafka on EC2 then you will find this blog is still useful. ââââââââââââââ- This post
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AWS News Blog Amazon Lightsail Update â More Instance Sizes and Price Reductions Amazon Lightsail gives you access to the power of AWS, with the simplicity of a VPS (Virtual Private Server). You choose a configuration from a menu and launch a virtual machine (an instance) preconfigured with SSD-based storage, DNS management, and a static IP address. You can use Linux or Windows, and can even choos
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AWS News Blog Announcing the AWS Health Tools Repository Tipu Qureshi and Ram Atur join us today with really cool news about a Git repository for AWS Health / Personal Health Dashboard. -Ana Today, weâre happy to release the AWS Health Tools repository, a community-based source of tools to automate remediation actions and customize Health alerts. The AWS Health service provides personalized inform
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Your analytics and search applications can now benefit from Amazon Elasticsearch Serviceâs support for Elasticsearch 5 and Kibana 5. Elasticsearch is a popular search and analytics engine for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service delivers Elasticsearchâs easy-to-use APIs and real-time capabilities along with the availability, scalability, a
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Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock Foundational models (FMs) are trained on large volumes of data and use billions of parameters. However, in order to answer customersâ questions related to domain-specific private data, they need to reference an authoritative knowledge base outside of the modelâs training data sources. This is commonly ac
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