Serverless

Apache Flink is a framework for stateful computations over unbounded and bounded data streams.

The Saga pattern provides an elegant solution by breaking distributed transactions into a series of local transactions with compensating actions.

AWS Kinesis has become a cornerstone for building modern event-driven microservices architectures, enabling real-time data processing at scale with minimal operational overhead.

Here we have a Python Lambda example of SQS Message Processor + REST API with API Key Protection + Terraform script to deploy it for serverless execution.

In this article, we’ll take a deep dive into Alexa skill development, testing, and publishing. We’ll also cover design principles, technical considerations, and best practices to ensure your skill provides an engaging and natural user experience.

Here are my notes with step-by-step tutorial on how to implement and deploy to AWS a Telegram bot. I’ve added a quick start (long polling) and a production-ready path (webhooks), with examples in Python and Node.js.

Here I list steps needed to implement pair of lambda functions in AWS SAM:

1. REST API Lambda: send message to SQS
2. SQS Lambda Trigger: process message from SQS

These are the step-by-step instructions on how to add layers to AWS Lambdas - in Python. Will be using base code generated by standard HelloWorld template example.

When you created Flutter project with AWS Amplify backend, the next step is to deploy it. Here is how to Deploy Flutter project to AWS Amplify hosting

We can write lambda function for deployment to AWS in several languages. Let’s compare the performance of (almost empty) functions written in JavaScript, Python and Golang…