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ECS Fargate Persistent Storage: EFS Access Points vs. Lambda Workarounds

Xebia

I initially attempted to solve this by manually creating the required directory on EFS using a Lambda-backed custom resource. A Lambda function could do this, so I started implementing a custom resource. A Lambda function can only mount an EFS drive through an access point. With this manual step in between, you cant do that.

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BloomTech, previously Lambda School, cuts half of staff

TechCrunch

A little over a year after buzzy coding bootcamp Lambda School rebranded as Bloom Institute of Technology , the venture-backed startup is conducting massive layoffs, according to sources. BloomTech, previously Lambda School, cuts half of staff by Natasha Mascarenhas originally published on TechCrunch.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

Access to car manuals and technical documentation helps the agent provide additional context for curated guidance, enhancing the quality of customer interactions. The workflow includes the following steps: Documents (owner manuals) are uploaded to an Amazon Simple Storage Service (Amazon S3) bucket.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. This request contains the user’s message and relevant metadata.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning - AI

Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management. These tasks often involve processing vast amounts of documents, which can be time-consuming and labor-intensive. This solution uses the powerful capabilities of Amazon Q Business.

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Building Resilient Public Networking on AWS: Part 4

Xebia

To aid in understanding this setup and the AWS services needed, a detailed diagram is provided below illustrating the required interaction between CloudWatch Alarms, Event Bridge, Lambda function, and AWS Global Accelerator during an automated region evacuation process.

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