Sold by: Derek Coleman & Associates
Deployed on AWS
This product has charges associated with it for image hardening, maintenance, and support. PostgreSQL 16 with the pgvector extension (vector similarity search for AI embeddings) on Amazon Linux 2023, security-hardened for production: minimal package set, SSH key-only access, IMDSv2-only, no password auth, and continuously patched images.
Overview
PostgreSQL 16 + pgvector (Hardened) on Amazon Linux 2023 is a production-ready, security-hardened image of the PostgreSQL relational database with the pgvector extension for vector similarity search - the storage layer for AI embeddings, retrieval-augmented generation (RAG), and semantic search - maintained and supported by Derek Coleman & Associates Incorporated.
This is repackaged open-source software. PostgreSQL is developed by the PostgreSQL Global Development Group and pgvector by its open-source community; both are distributed under the PostgreSQL License. This product bundles unmodified upstream PostgreSQL 16 with pgvector built from the upstream source tag on a hardened Amazon Linux 2023 base; the charges associated with this listing are for image hardening, continuous patching, vulnerability scanning, and business-day support - not for the underlying open-source software, which remains free.
Hardening baseline: minimal package footprint (the build toolchain is removed after compiling the extension), SSH key-only access (password authentication disabled), IMDSv2 enforced, and no default database passwords (local peer/socket auth; remote access on port 5432 stays closed until you configure pg_hba.conf and open it to trusted CIDRs). The extension load is verified at build time. Images are rebuilt, scanned for HIGH and CRITICAL vulnerabilities, and republished on a regular cadence so that new launches start current. The data directory initializes on first boot; enable the extension per database with: CREATE EXTENSION vector;
Highlights
- AI-ready out of the box: pgvector 0.8 compiled against PostgreSQL 16 and verified at build - exact and approximate (HNSW, IVFFlat) vector search over embeddings.
- Security-hardened at build time: minimal packages, key-only SSH, IMDSv2-only, no default database passwords, remote access closed until you configure it.
- Continuously patched: rebuilt, vulnerability-scanned, and republished on a regular cadence.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
c7i.2xlarge Recommended | $0.92 |
c7i.4xlarge | $1.84 |
c7i.xlarge | $0.46 |
Dimensions summary
You pay by the hour for the compute instance size you run. The three options are compute-optimized instance sizes: c7i.xlarge, c7i.2xlarge, and c7i.4xlarge. They differ in vCPU and memory capacity, so hourly cost scales with the instance size you choose. Pick the size that matches your workload; you can run any one of them. Software cost is metered per hour and billed by AWS on your existing cloud invoice, with no separate vendor relationship needed.
Top-of-mind questions for buyers
Each option is a compute-optimized instance running the hardened PostgreSQL 16 image with the pgvector extension. The three sizes differ by vCPU and memory: c7i.xlarge, c7i.2xlarge, and c7i.4xlarge. Larger sizes carry more vCPUs and memory, so hourly cost rises with capacity. The software runs in your own AWS account.
Software charges meter per running hour of the instance. A fully stopped instance stops accruing hourly software fees. You may still pay AWS for attached storage while stopped, but that is separate from the software meter. Charges resume when you start the instance again.
Charges meter per instance-hour and appear on your existing AWS invoice through the marketplace. You do not need a separate vendor relationship. The software runs in your own AWS account under your IAM, VPC, and billing controls. You pay only while an instance runs.
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Vendor refund policy
Usage-based hourly billing; charges stop when instances are terminated. Contact support@dcassociatesgroup.com for billing questions.
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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
[Security] Refreshed image: rebuilt on the latest hardened Amazon Linux 2023 baseline; all OS packages current at build.
Additional details
Usage instructions
Launch from AWS Marketplace (1-Click or EC2 console). Connect via SSH: ssh -i <key> ec2-user@<public-ip>. The data directory initializes on first boot; administer locally with: sudo -u postgres psql, and enable the extension per database: CREATE EXTENSION vector; Remote access (port 5432) and authentication are a deliberate customer configuration step - edit pg_hba.conf and postgresql.conf, then open 5432 to trusted CIDRs only. Root login is disabled; use sudo. There are no passwords anywhere in this product.
Support
Vendor support
Support by Derek Coleman & Associates Incorporated. Email: support@dcassociatesgroup.com . Business-day response. Covers image operation, hardening baseline, and launch issues.
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.
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