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Sovereign AI Lakehouse
Zero-SPOF Cloud & Local RAG Lakehouse on Free-Tier OCI
An enterprise-grade, zero-SPOF reference architecture running 24/7 on Oracle Cloud (OCI Always-Free ARM) in the Middle East (me-jeddah-1). Features OpenTofu IaC, 512MB RAM Redpanda streaming broker (10k+ msgs/sec), DuckDB/Polars columnar lakehouse, and air-gapped sovereign RAG with bge-m3 embeddings.
👋 Hey Product Hunt community!
I'm Aamir (@Amz34), an infrastructure engineer and data architect.
Like many developers, I was frustrated by the exorbitant cloud bills required just to run real-time streaming and local AI RAG pipelines for testing and production edge cases.
So I engineered Sovereign AI Lakehouse — an open-source reference architecture that deploys a 100% Zero-SPOF enterprise streaming + AI lakehouse on OCI's Always-Free ARM tier ($0/month).
### 🛠️ What's Under The Hood:
1. Zero-SPOF Multi-AD IaC: Automated OpenTofu landing zone across fault domains in OCI Jeddah (me-jeddah-1).
2. 512MB Redpanda Streaming: Kafka-compatible event ingestion handling 10,000+ IoT/industrial events/sec capped at 512MB RAM.
3. Columnar Lakehouse: DuckDB + Polars + PostgreSQL for ultra-fast vector & analytical queries.
4. Air-Gapped Sovereign RAG: Local bge-m3 embedding model + ChromaDB running without any external API calls or data egress.
### 🌟 100% Free & Open Source
Everything is published under the MIT license on GitHub:
👉 https://github.com/Amz34/enterpr...
I would love to get your feedback, hear what workloads you'd like to benchmark, and answer any questions about OCI Always-Free configs!
If you find this useful, a star on GitHub would mean the world! ⭐
About Sovereign AI Lakehouse on Product Hunt
“Zero-SPOF Cloud & Local RAG Lakehouse on Free-Tier OCI”
Sovereign AI Lakehouse was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #125 on the daily leaderboard. An enterprise-grade, zero-SPOF reference architecture running 24/7 on Oracle Cloud (OCI Always-Free ARM) in the Middle East (me-jeddah-1). Features OpenTofu IaC, 512MB RAM Redpanda streaming broker (10k+ msgs/sec), DuckDB/Polars columnar lakehouse, and air-gapped sovereign RAG with bge-m3 embeddings.
On the analytics side, Sovereign AI Lakehouse competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Sovereign AI Lakehouse performed against the three products that launched closest to it on the same day.
Who hunted Sovereign AI Lakehouse?
Sovereign AI Lakehouse was hunted by Aamir Zahran. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Sovereign AI Lakehouse including community comment highlights and product details, visit the product overview.
Aamir Zahran