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Relative Python imports in a Dockerized lambda function

Xebia

Relative Python imports can be tricky for lambda functions. But recently, I ran into the same issue with Dockerized lambda functions. py touch lib/functions/hello-world/requirements.txt touch lib/functions/hello-world/Dockerfile Now you will need to fill the Dockerfile, like this: FROM public.ecr.aws/lambda/python:3.12

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Building Lambda Functions With Node.JS

Dzone - DevOps

Building Efficient Lambda Functions with Node.js: Unleashing the Power of Serverless Magic In the ever-evolving landscape of cloud computing, serverless architecture has emerged as a transformative paradigm, enabling developers to focus on code without the burden of managing infrastructure.

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Top 5 Best Practices for Building Event-Driven Architectures Using Confluent and AWS Lambda

Confluent

Discover the top 5 best practices for building event-driven architectures using Confluent and AWS Lambda. Learn how to optimize your architecture for scalability, reliability, and performance.

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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless?

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Serverless is more than AWS Lambda

Stackery

Too often serverless is equated with just AWS Lambda. Yes, it’s true: Amazon Web Services (AWS) helped to pioneer what is commonly referred to as serverless today with AWS Lambda, which was first announced back in 2015. Lambda is just one component of a modern serverless stack.

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

AWS Machine Learning - AI

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. This request contains the user’s message and relevant metadata.

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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. Solution overview The following diagram illustrates our solution architecture. This can be done with a Lambda layer or by using a specific AMI with the required libraries. awscli>=1.29.57