Overview
This is a repackaged open source software product wherein additional charges apply for technical support with a 24-hour response time. PostgreSQL 18 and pgvector 0.8, built on a minimal Ubuntu 24.04 LTS installation, are included in this AMI, repackaged by Easycloud. It provides a production-grade relational database with native vector similarity search, deliberately engineered to power AI embeddings, semantic search, and RAG workloads alongside your transactional data.
Core Features & Integrations
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Ubuntu 24.04 LTS Minimal: A renowned Linux distribution celebrated for its exceptional stability, vast software repository, and strict adherence to open-source principles. Built on the solid foundation of Debian, it provides unparalleled ecosystem compatibility while delivering a clean, bloat-free, and secure enterprise-grade core.
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PostgreSQL 18 with pgvector 0.8: The latest major release of the world's most advanced open-source relational database, installed from the official PGDG repository, paired with the pgvector extension for vector data types and similarity search. The vector extension is pre-enabled in the template database, so every database you create automatically supports embeddings out of the box.
Key Benefits
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Native Vector Search for AI Workloads: pgvector adds vector columns, exact nearest-neighbor search, and approximate indexes (HNSW and IVFFlat) directly inside PostgreSQL, so embeddings live next to your relational data in one ACID-compliant engine. This removes the need for a separate vector database in most RAG, semantic search, and recommendation architectures.
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The Ultimate Relational and Vector Data Store: By starting with a bloat-free Ubuntu 24.04 LTS installation, maximum CPU and memory are dedicated entirely to the PostgreSQL engine. This makes it the perfect, conflict-free foundation for transactional applications built with Django, Spring Boot, FastAPI, Node.js, and Python, including ORM stacks such as Hibernate, Prisma, and SQLAlchemy. It seamlessly integrates with AI and RAG pipelines (PyTorch, Hugging Face, Dify, RAGFlow, or as an alternative to standalone Milvus and Chroma deployments), pairs naturally with adjacent data layers (Redis, Elasticsearch, MySQL, MariaDB), and serves as a rock-solid backbone for analytics and platform tooling (Metabase, Grafana, Supabase, Docker, Kubernetes), ensuring your data infrastructure scales without limits.
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Production Ready & Expert Support: Secured with the latest OS patches. It delivers a highly stable environment, fully supported by comprehensive documentation and fast technical assistance (guaranteed 24-hour response time) to ensure your infrastructure runs smoothly without costly downtime.
Highlights
- Ubuntu 24.04 LTS (Minimal Installation),updated to the latest version.
- Professional installation following best practices.
- Expert Support: Backed by comprehensive documentation and fast, professional technical assistance.
Details
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Pricing
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Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.04 |
t3.micro | $0.03 |
t2.micro | $0.03 |
r7a.medium | $0.04 |
g5.48xlarge | $0.68 |
g6.16xlarge | $0.68 |
r5n.12xlarge | $0.68 |
x8aedz.large | $0.12 |
m8azn.xlarge | $0.19 |
m5ad.12xlarge | $0.68 |
Vendor refund policy
No refunds. Cancel anytime.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Latest Updates
Additional details
Usage instructions
Connection Methods
Once launched, SSH into the instance. The default username is 'ubuntu'. You can switch to the root user environment by running: sudo su -
Install Information
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OS: Ubuntu 24.04 LTS (x86_64, Minimal Installation)
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PostgreSQL: 18
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pgvector: 0.8 (pre-enabled in the template1 and postgres databases - every new database automatically includes the vector extension)
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Config File: '/etc/postgresql/18/main/postgresql.conf' and '/etc/postgresql/18/main/pg_hba.conf'
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Data Directory: /var/lib/postgresql/18/main/
Usage Instructions
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Access the database (peer authentication): Log in locally by running: sudo -u postgres psql
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Verify pgvector: Inside the psql prompt, run: SELECT extversion FROM pg_extension WHERE extname = 'vector'; Databases you create with CREATE DATABASE automatically include the extension - no CREATE EXTENSION step is needed.
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Remote or password access (optional): By default PostgreSQL listens on localhost only. To enable password authentication and remote access, edit '/etc/postgresql/18/main/postgresql.conf' (listen_addresses) and '/etc/postgresql/18/main/pg_hba.conf' (authentication rules), restart the service, and open port 5432 in the Security Group.
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Manage the service: Use 'sudo systemctl start/stop/restart/status postgresql@18-main' to control the database service.
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View logs: Server logs are written to /var/log/postgresql/
Firewall Configuration
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SSH (Port 22): Required for initial system access.
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PostgreSQL Database (Port 5432): Required for client connections to the database (localhost only by default; see step 3 to enable remote access).
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Security Recommendation: For production environments, strictly limit access to these ports to trusted IP addresses only via cloud Security Groups or the local firewall.
Support
Vendor support
Should you encounter any issues while using the system, please do not hesitate to contact us via email at: support@easyclouds.io ,Thank you!
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.