Posts

Overview I love markdown because it is frictionless. That is also the problem. Ideas become ideas.md. Then ideas-2.md. Then a folder called poc-notes/. Then a README inside a toy repository. Then a half-written architecture note I forgot existed. After a few months, the information is technically mine but practically lost. What I wanted was not another general-purpose chatbot. I wanted a second brain for my own material — markdown notes, proof-of-concept writeups, architecture sketches, project journals, rough drafts that are still useful even if they are not pretty. ...

Overview Classic Lambda is fantastic when traffic is spiky, the operational budget is close to zero, and paying per invocation makes sense. But there is a point where some workloads start to feel slightly awkward inside the normal Lambda model. Not because they are long-running. Not because they need state. Just because they are high-volume, fairly predictable, and more about sustained compute efficiency than burst elasticity. That is where Lambda Managed Instances becomes interesting. ...

Overview I have accumulated the usual digital junk drawer over the years: manuals for appliances I never remember how to reset notes from talks and courses markdown snippets from side projects receipts and invoices I swear I will organize properly one day little technical writeups saved with filenames like final-v3-real-final.md What I wanted was not full-blown enterprise search. I wanted something much smaller and much more useful: semantic search over my own documents, with a cost profile that does not feel absurd for a personal project. ...

Overview There is a recurring pattern I keep seeing with side projects and small internal tools. The application is fine. The container is fine. The AWS part is what slows everything down. Not because ECS is bad. Quite the opposite: plain ECS gives you a lot of control. But that control comes with a lot of setup. Subnets, load balancer, listener rules, security groups, scaling policies, logging, IAM roles, health checks, certificates. For a production platform team this is normal life. For one container and one weekend project, it is a lot. ...

Overview When I presented Kroz at the AWS Summit 2024 in Milan, it was a fascinating but simple prototype: a text adventure dynamically generated by AWS Bedrock, with procedural rooms and basic game logic. The demo worked, people were intrigued, but I knew it was just the beginning. The game had potential, but it lacked depth, coherence, and the kind of carefully crafted experience that makes players want to keep exploring. ...

Overview A few months ago, I started a fun project: an AI-powered platform that generates unique bedtime stories for children. The idea was simple: use AWS Bedrock to create personalized stories with illustrations and audio narration, then deliver them via email subscriptions based on age groups. What started as a fully serverless application on AWS eventually evolved into a hybrid architecture, with the frontend running on my home Kubernetes cluster while keeping all the AI processing on AWS. This article tells the story of that journey. ...

Overview Almost a year ago, I moved from the city to the countryside and started a new project: a small greenhouse. Manually managing the watering schedule quickly became a repetitive task, so I decided to merge my passion for technology with gardening. This article describes how I built a smart, automated watering system. Using a Raspberry Pi Pico W, several sensors, and the power of the AWS cloud with its AI models, the system now monitors environmental conditions and autonomously decides the best time to water the plants. ...

Building an ECS Cluster with Raspberry Pi 4 Nodes Using AWS ECS Anywhere In this guide, we’ll explore how to set up an Amazon Elastic Container Service (ECS) cluster using three Raspberry Pi 4 devices as external instances, leveraging AWS ECS Anywhere. We’ll delve into the capabilities of ECS, provide the necessary Terraform code to create the cluster, and walk through the steps to generate activation keys. Additionally, we’ll develop a Python 3 application that listens to an Amazon Simple Queue Service (SQS) queue for batch processing messages. This process involves downloading an object from Amazon S3, processing it through a mocked API, and storing the result in a DynamoDB table. We’ll also cover the Terraform configurations required to set up the DynamoDB table, SQS queue, S3 event notifications, and an Amazon Elastic Container Registry (ECR) repository for our Docker images. ...

In recent years, concerns have emerged about a perceived decline in creativity across various domains, particularly in the arts and technology sectors. This phenomenon has sparked debates on the role of artificial intelligence (AI) and its impact on human artistry. The Impact of AI on Artistic Creativity Prominent artists have voiced apprehensions regarding AI’s influence on creative processes. Musician Nick Cave has expressed deep concern over AI’s potential to undermine the artistic struggle inherent in songwriting. He views AI-generated music as a threat to the authenticity and emotional depth that characterize human-created art. ...

Building a Vue 3 Notes App with AWS Amplify V2 Introduction After the Summit, I decided for a while to give it a try to new amplify - boooom. You might be wondering why and this article is all about this :D and yes, that’s me in the left corner looking at the photo! AWS Amplify has undergone a significant evolution with the introduction of Amplify V2, offering an improved developer experience and better integration with modern frontend frameworks like Vue 3. In this tutorial, we will build a simple notes application using Vue 3 and Amplify V2. The app will allow users to register, log in, and save notes in an Amazon DynamoDB table. ...