AWS

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

Hugo caching strategies are essential for maximizing the performance of your static site generator. While Hugo generates static files that are inherently fast, implementing proper caching at multiple layers can dramatically improve build times, reduce server load, and enhance user experience.

When data is the a valuable asset, securing it has never been more critical. From the moment information is created to the point it’s discarded, its journey is fraught with risks - whether stored, transferred, or actively used.

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’s a side-by-side support comparison of structured output (getting reliable JSON back) across popular LLM providers, plus minimal Python examples

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.

The AWS Cloud Development Kit (AWS CDK) is a framework that enables you to define and provision cloud infrastructure using familiar programming languages like TypeScript, Python, Java and Go.

Using LLMs is not very expensive, might be no need to buy new awesome GPU. Here is a list if LLM providers in the cloud with LLMs they host.

MinIO is an open-source, high-performance, distributed object storage system designed to be fully compatible with the Amazon S3 API.

Short comparison of the RabbitMQ on AWS EKS and AWS SQS

• features and costs.

Some time ago I described how to Deploy Flutter project with backend to AWS Amplify.

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