Remove tag lambda-layers
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Sending OpenTelemetry Data From AWS Lambda to Honeycomb

Honeycomb

In this post, I describe how to send OpenTelemetry (OTel) data from an AWS Lambda instance to Honeycomb. I will be showing these steps using a Lambda written in Python and created and deployed using AWS Serverless Application Model (AWS SAM). Add OTel and Honeycomb environment variables to your template configuration for your Lambda.

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How to Build a Serverless Application Using Laravel and Bref

Modus Create

Serverless architecture has grown more popular since Amazon Web Services (AWS) introduced Lambda. In comparison to traditional LAMP (Linux, Apache, MySQL, PHP) stack, serverless LAMP ( Lambda , API Gateway, MySQL, PHP) applications are easier to scale and maintain while costing less than the alternative (using a pay-per-use model).

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Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

AWS Machine Learning - AI

In this post, we show you how to build a speech-capable order processing agent using Amazon Lex, Amazon Bedrock, and AWS Lambda. A Lambda function pulls the appropriate prompt template from the Lambda layer and formats model prompts by adding the customer input in the associated prompt template. awscli>=1.29.57

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Top 10 Serverless Deployment Errors (and How to Fix Them)

Stackery

Your browser does not support the video tag. An alternative option could be to use custom lambda layers or a private npm package instead of requiring a local file. Unable to deploy with a layer parameter. Referencing a layer that hasn’t granted layer-permissions to the environment’s linked account.

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Celebrating 1 million developers: What’s next for Netlify and the Jamstack

Netlify

2018: A big product milestone included delivering Netlify Functions to make deploying serverless AWS Lambda functions on Netlify as simple as adding a file to your Git repository, making it easy to deploy the frontend and backend together. This migration from WordPress to the Jamstack with Netlify made it perform 10 times faster.

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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

This architecture includes the following steps: A user interacts with the Streamlit chatbot interface and submits a query in natural language This triggers a Lambda function, which invokes the Knowledge Bases RetrieveAndGenerate API. You will use this Lambda layer code later to create the Lambda function. Choose Next.

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The Present and Future of Arm and AWS Graviton at Honeycomb

Honeycomb

Instances[]' | jq -cs '.[] | {arch: Architecture, type: InstanceType, tags: (.Tags//[])|from_entries|{name: Tags//[])|from_entries|{name: Name, env: Environment}}' | jq -c 'select(.arch We’re also very heavy users of AWS Lambda for our storage engine. Reservations[]|.Instances[]' Finishing the migration.

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