🚀 Sedaro Nano DevOps Deployment
Explore my DevOps recruiting project for Sedaro Nano:
sedaro-nano.daveops.pro
sedaro-nano.daveops.pro/grafana
I containerized and deployed the Sedaro Nano web application using hardened, production-grade DevOps practices, showcasing cloud-native design and robust observability.
Tech Highlights:
Infrastructure-as-Code: Provisioned on AWS using Terraform to deploy a K3s Kubernetes cluster
CI/CD: Automated build and deployment pipelines with GitHub Actions
Containerization: Dockerized application and deployed via Helm
Monitoring: Integrated Prometheus and Grafana for full-stack observability
Security: Enforced least privilege IAM roles and private networking
Scalability: Kubernetes-based autoscaling and resilience across zones
🌍 Real-Time Earthquake Monitoring Project
Check out my real-time earthquake monitoring personal project:
earthquakes.daveops.pro
Track seismic activity in real time with this fully cloud-native application built for speed, resilience, and automation.
Tech Highlights:
Infrastructure-as-Code: Deployed with Terraform, Helm, and Kubernetes on AWS
Architecture: Modular microservices with seamless scaling
Frontend: Static site served via NGINX
Data Producer: Python service streams live data from USGS
Event Pipeline: Kafka handles high-throughput messaging
Data Storage: Consumer microservice writes events to a PostgreSQL database
Alert Dispatcher: .Net microservice sends real-time email alerts for seismic events
🤖 Image Style Transfer Tool
Check out my style transfer tool on GitHub:
github.com/dhiemer/DaveDream
This tool provides a simple graphical interface built in PowerShell for performing image style transfer — a deep learning technique that fuses the style of one image (like a painting) with the content of another (like a photo).
Users can load two images:
A content image (the photo to preserve)
A style image (the visual style to apply)
The tool then uses a neural network to blend the two, generating a new image that keeps the structure of the original photo but reimagined with the colors, textures, and brushstrokes of the style image.
Perfect for artists, designers, or tech-savvy tinkerers — all wrapped in a lightweight, local GUI with no need for Python scripting.
🔴🟢🔵 LED Effects
Check out my style transfer tool on GitHub:
github.com/dhiemer/LED
LED effects using C and fastLED. I have used these effect stacks on many of my LED projects.
👽 Reddit Sentiment Analysis
Work in Progress
A Reddit stock market sentiment analysis project that uses AI to measure sentiment of a set of stocks over the last 12 hours.
