Thu, Mar 26 · 5:30 PM CDT
In January we formed a team of volunteers from our membership called the Houston AWS Product Team and now we are ready to show you what we've got cooking. Building on AWS in 2026 means making dozens of interrelated decisions — about architecture, tooling, cost, deployment, and ML integration — often before you have a clear playbook. This month, a local development team pulls back the curtain on a full-stack AWS application they've been building in production.
This is a practitioner-led session. The people presenting are the people who wrote the code, made the architecture calls, and watched the AWS bill at the end of the month.
AGENDA
1. THE PRODUCT
We start with the user experience — what the application does and who it serves. Understanding the product sets the context for every technical decision that follows.
2. SYSTEM ARCHITECTURE
A stateless AWS architecture spanning Amplify, API Gateway, SQS, AWS Batch, and a React/Vite frontend. We'll walk through the architecture diagram layer by layer, explain why stateless design was chosen, and discuss the operational tradeoffs.
3. INFRASTRUCTURE AS CODE
How the entire environment is defined, versioned, and deployed as code. We'll cover our IaC approach and how AWS Amplify integrates into the full deployment story — including the rough edges.
4. ML MODEL INTEGRATION
The application uses a machine learning model for data categorization. We'll explain the model, how it's deployed on AWS, how it integrates with the rest of the stack, and the practical decisions around accuracy, latency, and cost.
5. LIVE CD PIPELINE DEMO
A live walkthrough of our continuous delivery pipeline — from a code commit through build, test, and deployment to a live Amplify environment. We'll cover the pipeline design and field questions on testing strategy and deployment guardrails.
6. FINOPS BREAKDOWN
A frank conversation about cloud costs. We'll share a service-by-service cost breakdown, explain which architectural decisions had the largest cost impact, and discuss strategies for keeping AWS spend manageable during active development.
7. LESSONS LEARNED + OPEN Q&A
What worked, what didn't, and what we'd do differently. We'll open the floor for questions, feedback, and discussion. If you've approached similar problems differently, we want to hear it.
TECHNOLOGIES DISCUSSED
AWS Amplify · API Gateway · SQS · AWS Batch · S3
· Vite · Infrastructure as Code · CI/CD
Machine Learning (text categorization) · FinOps · Graviton
IDEAL ATTENDEES
This session is most relevant for solutions architects, full-stack developers, DevOps and platform engineers, QA architects exploring ML integration, and anyone responsible for AWS cost management. Intermediate AWS familiarity is helpful but not required.
Online event. Free to attend. RSVP to receive the meeting link. The first 15-20 minutes will be for social networking.