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This is the deployment and operations setup behind SwadeStack, my e-commerce site. The whole cluster is defined in Git, so it can be rebuilt from scratch on a fresh server.
Every push to the app repository is built in GitHub Actions and published as a container image tagged with its commit. The pipeline then updates this GitOps repository, and Argo CD deploys the new version to staging. Production is promoted separately, by hand. The app is configured with Kustomize, using a shared base and separate staging and production overlays.
It runs on a single-node k3s server. Secrets are stored encrypted with Sealed Secrets, traffic goes through Traefik and a Cloudflare Tunnel, and Prometheus, Grafana and Alertmanager handle monitoring. Eight alert rules cover downtime, the database, TLS expiry, disk usage and backups. The database and uploaded files are backed up nightly by Kubernetes jobs, and a written bootstrap and recovery guide covers rebuilding the cluster.
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Can you build a fully automated e-commerce platform with zero monthly SaaS costs? Yes. 🛠️
I just dropped my new case study detailing how I engineered a self-sustaining data architecture for Oz Golden Rush. By combining Framer, Make.com, and Airtable, I automated their entire inventory, dynamic pricing, and social feeds—all wrapped in a custom vector UI.
Take a look at the project to see how I bridged the gap between zero-code automation and frontend engineering!
https://contra.com/p/cEbebMRL-automated-data-architecture-for-oz-golden-rush
Linking inventory changes straight to dynamic pricing removes the manual lag and keeps the storefront responsive.
I finally finished developing the application I wrote about recently. It now fully satisfies me and is ready to use. The app is free and available on GitHub.
Home Network Inventory is a self-hosted web application for documenting and managing home or small-office networks. It supports multiple isolated homes, each with its own devices, locations, subnets, and connections.
It tracks devices, network interfaces, IP addresses (static, DHCP, reserved, external), Wi-Fi networks, physical ports, connections, DHCP pools, credentials, services, and port-forwarding rules. A visual topology page shows the network graph with drag-and-drop layout saving.
Access requires authentication, with admin and user roles. All data is stored in a database on a Raspberry Pi. The app is aimed at network administrators and programmers who need an accurate, structured inventory of their infrastructure.
Nice that it runs on a Raspberry Pi. The drag and drop network map is the best part of the screenshot.
Developed a full stack email marketing platform covering campaign workflows, template version history and comparison, review controls, usage limits, and configurable reports with exports. Connected Angular interfaces to Spring Boot APIs and persistence. Implemented separate JWT and API-key access paths, request validation, body-size limits, and durable send-job processing. The application brings marketing workflows and operational controls into one system, with explicit API contracts and tests for important failure cases.
