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As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. This time efficiency translates to significant cost savings and optimized resource allocation in the review process.
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Rotating secrets is a critical element to your security posture that, when done manually, is often overlooked due to it being a more and more tedious and complex process as the company and secrets grow. In order to translate this into our serverless function we will need to do this process via code.
Use case overview The organization in this scenario has noticed that during customer calls, some actions often get skipped due to the complexity of the discussions, and that there might be potential to centralize customer data to better understand how to improve customer interactions in the long run.
Their DeepSeek-R1 models represent a family of large language models (LLMs) designed to handle a wide range of tasks, from code generation to general reasoning, while maintaining competitive performance and efficiency. Sufficient local storage space, at least 17 GB for the 8B model or 135 GB for the 70B model. for the month.
Review the source document excerpt provided in XML tags below - For each meaningful domain fact in the , extract an unambiguous question-answer-fact set in JSON format including a question and answer pair encapsulating the fact in the form of a short sentence, followed by a minimally expressed fact extracted from the answer.
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Last week, I joined an awesome lineup of speakers and serverless users in Tennessee for the inaugural ServerlessDays Nashville conference. Whether you help architect serverless applications at work or you’re just getting started in the community, chances are you’ve caught wind of a ServerlessDays event. Enter serverless.
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As of this writing, Ghana ranks as the 27th most polluted country in the world , facing significant challenges due to air pollution. Cost-effective – The solution should only invoke LLM to generate reusable code on an as-needed basis instead of manipulating the data directly to be as cost-effective as possible.
In the following sections, we walk you through constructing a scalable, serverless, end-to-end Public Speaking Mentor AI Assistant with Amazon Bedrock, Amazon Transcribe , and AWS Step Functions using provided sample code. Uploading audio files alone can optimize storage costs.
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Below is a review of the main announcements that impact compute, database, storage, networking, machine learning, and development. Previously it was based on the number of requests (times a code is triggered) as well as the number of times that code executed, rounded up to the nearest 100ms (duration).
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Description from the Apache Software Foundation about what Kafka is. A distributed streaming platform combines reliable and scalable messaging, storage, and processing capabilities into a single, unified platform that unlocks use cases other technologies individually can’t. However, doing so can be a huge lift.
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