This product has charges associated with it for image hardening, maintenance, and support. Qdrant vector database on Amazon Linux 2023, security-hardened for production: minimal package set, SSH key-only access, IMDSv2-only, bound to loopback until you set an API key, and continuously patched images.
Qdrant (Hardened) on Amazon Linux 2023 is a production-ready, security-hardened image of the Qdrant vector database and similarity-search engine - the storage layer for AI embeddings, retrieval-augmented generation (RAG), and recommendation systems - maintained and supported by Derek Coleman & Associates Incorporated.
This is repackaged open-source software. Qdrant is developed by Qdrant and its open-source community and is distributed under the Apache License 2.0. Qdrant is a trademark of its owner; this listing is not endorsed by or affiliated with Qdrant. This product bundles the unmodified upstream Qdrant release binary 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, SSH key-only access (password authentication disabled), IMDSv2 enforced, Qdrant running as a dedicated non-root user and bound to 127.0.0.1 (Qdrant ships with no authentication, so exposing the HTTP/gRPC ports is a deliberate customer step: set service.api_key in /etc/qdrant/config.yaml, widen service.host, and open ports 6333-6334 to trusted CIDRs). The health endpoint 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.
Highlights
Security-hardened at build time: minimal packages, key-only SSH, IMDSv2-only, non-root service user, bound to loopback until you set an API key.
Continuously patched: rebuilt, vulnerability-scanned, and republished on a regular cadence.
Production-ready: systemd-managed Qdrant 1.18 with HTTP (6333) and gRPC (6334) APIs; storage under /var/lib/qdrant.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay by the hour for each running instance of this hardened Qdrant image. Pricing follows three compute sizes, all from the same c7i instance family. The c7i.xlarge, c7i.2xlarge, and c7i.4xlarge differ by the amount of CPU and memory you provision. Larger sizes carry a higher hourly rate. You choose the size that fits your workload. Software fees accrue only while an instance runs. The underlying AWS compute, storage, and network are billed separately by AWS under your own account.
Top-of-mind questions for buyers
What compute do I get with each c7i size, and how does the size affect my hourly software fee?
Each size maps to an AWS c7i instance with a set amount of vCPU and memory. The c7i.xlarge provisions the least, the c7i.2xlarge more, and the c7i.4xlarge the most. Larger sizes carry a higher hourly software rate. You pick the size that matches your workload.
Am I charged the software fee when an instance is stopped or paused?
Usage-based fees accrue only while an instance runs, metered by AWS. A fully stopped instance stops the software charge. Stopped instances may still incur AWS storage fees for attached volumes, billed separately by AWS under your own account.
Are AWS compute, storage, and network costs included in the hourly software price?
No. The hourly fee covers the software licence only. AWS compute, storage, and network consumed by the running instance are billed separately by AWS under your own account. The software runs entirely within your AWS account, under your IAM, VPC, and billing controls.
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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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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>. Qdrant binds to 127.0.0.1; verify locally: curl http://127.0.0.1:6333/healthz. To serve clients, set service.api_key and service.host: 0.0.0.0 in /etc/qdrant/config.yaml, then: sudo systemctl restart qdrant, and open TCP 6333 (HTTP) and 6334 (gRPC) 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.
High-performance vector database for AI applications. Pre-configured Qdrant on Amazon Linux 2023 with optimized settings for similarity
search and embeddings storage.
Qdrant is an open-source and fully managed high-performance Vector Database. The vector search engine provides a production-ready service with a convenient API to store, search, and manage vector embeddings.
Qdrant is an open-source and fully managed high-performance Vector Database. The vector search engine provides a production-ready service with a convenient API to store, search, and manage vector embeddings.
This production-ready AMI delivers a pre-configured stack featuring Qdrant vector database, LangChain, LlamaIndex, and MinIO. Designed by Intuz for AI developers building RAG, semantic search, and ML-powered applications on AWS.
This product has charges associated with it for seller support. Qdrant is an open source, high performance vector database and similarity search engine designed for AI, machine learning, and semantic search applications.
This product has charges associated with it for hardening, security configuration, and support.
Qdrant is an open-source, high-performance vector database for AI and semantic search - used in RAG pipelines, recommendation systems, LangChain, LlamaIndex, and any workload requiring similarity search over embeddings. This Lynxroute build is security baked in: unique API key at first boot, UFW firewall pre-configured, and CIS Level 1 hardened Ubuntu 24.04 LTS base.
Web UI included. fastembed pre-installed for local embedding without external API calls.
Apache-2.0 license - fully auditable, no vendor lock-in.
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