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A Beginner’s Guide To Building Microservices With AWS Lambda

Dzone - DevOps

When used to construct microservices, AWS Lambda provides a route to craft scalable and flexible cloud-based applications. AWS Lambda supports code execution without server provisioning or management, rendering it an appropriate choice for microservices architecture.

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Lambda Calculus Through JavaScript, Part 4

Xebia

This is the fourth post in the Lambda Calculus Through JavaScript series. If you’re just joining us, make sure to go back and start with Lambda calculus through JavaScript, part 1. As usual, we’ll discover that lambda calculus gives us the ingredients to introduce this concept without extending the language, just by translation.

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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). AWS Lambda, Honeycomb, and OpenTelemetry all provide thorough documentation.

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Automate AWS Lambda function deployments to AWS CDK

CircleCI

This tutorial covers: Defining your AWS CDK application and the AWS Lambda handler. Manually building and deploying your CDK application. When you build a cloud-based application, you can choose to deploy the resources using the GUI (Graphical User Interface) or CLI (Command Line Interface) provided by the cloud provider.

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Domain-Specific Languages in Kotlin: the Type-Safe Builder pattern

Xebia

Everything that a DSL can do is also possible using general, ‘non-specific’ language features, such as methods and lambdas. The first example is the Bean Definition DSL which registers beans using lambdas instead of annotations. I also really like that you can use if expressions and other constructs. After all, it’s just Kotlin!

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

The workflow consists of the following steps: A user uploads multiple images into an Amazon Simple Storage Service (Amazon S3) bucket via a Streamlit web application. The Streamlit web application calls an Amazon API Gateway REST API endpoint integrated with the Amazon Rekognition DetectLabels API , which detects labels for each image.

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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning - AI

When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants.