Sold by: EASYCLOUD
Deployed on AWS
AWS Free Tier
This product has charges associated with it for technical support with a 24-hour response time. This AMI contains PostgreSQL 17 on CentOS Stream 9 repackaged by Easycloud. It is pre-initialized, fully configured as a systemd service.
Overview
This is a repackaged open source software product wherein additional charges apply for technical support with a 24-hour response time. PostgreSQL 17, built on a minimal CentOS Stream 9 installation, is included in this AMI, repackaged by Easycloud. It provides a fully configured, high-performance relational database environment, deliberately engineered with a strict focus on database security and backend integration to deliver production-ready PostgreSQL 17 from the moment the instance launches.
Core Features & Integrations
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CentOS Stream 9 Foundation: Provides a robust, enterprise-grade underlying OS with deep structural alignment to RHEL, ensuring high security and seamless ecosystem compatibility with AlmaLinux, Rocky Linux, and traditional CentOS deployments.
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Contrib Modules Included: Comes pre-packaged with 'postgresql17-contrib', granting immediate access to essential official extensions like 'pg_stat_statements' for monitoring and 'uuid-ossp' for UUID generation.
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Optimized for V17 Performance: Pre-configured to leverage PostgreSQL 17's advanced capabilities out-of-the-box, including the newly overhauled memory management for vacuum processes that drastically reduces system overhead.
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Enterprise Structure: Adheres strictly to standard Linux file hierarchies for configurations, logs, and data, simplifying backend management and automated deployments via tools like Ansible or Terraform.
Key Benefits
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The Ultimate Enterprise-Grade Relational Data Foundation: By starting with a bloat-free CentOS Stream 9, maximum CPU and memory are reserved entirely for the PostgreSQL 17 engine, its contrib extensions, and advanced query planner. This makes it the ideal, conflict-free relational backbone for teams that also run MySQL, MariaDB, and Amazon Aurora in their data tier, and the go-to server for application stacks built on Python, Django, Ruby on Rails, Node.js, and Spring Boot. It integrates naturally with high-throughput caching layers (Redis, MongoDB) and serves as the underlying database for backend platforms like Supabase and no-code tools like NocoDB. For data-intensive pipelines, it connects with ClickHouse for OLAP offloading and Apache Kafka for change data capture and event streaming, while Elasticsearch, Grafana, and Prometheus plug in directly for full-stack search and observability, and vector workloads benefit from PostgreSQL's pgvector extension alongside dedicated stores like Milvus, ensuring your relational infrastructure scales confidently across every tier of the modern application stack.
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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
- PostgreSQL 17 deployment strictly follows best practices to ensure optimal performance and security.
- CentOS Stream 9 (Minimal Installation), updated to the latest version.
- Expert Support: Backed by comprehensive documentation and fast, professional technical assistance.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
CentOs CentOS Stream 9
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.04 |
t2.micro | $0.04 |
t3.micro | $0.04 |
m7a.xlarge | $0.29 |
d3en.12xlarge | $0.68 |
x2idn.24xlarge | $0.68 |
r5dn.large | $0.12 |
c6in.12xlarge | $0.68 |
z1d.large | $0.12 |
c4.4xlarge | $0.39 |
Dimensions summary
You pay by the hour for PostgreSQL running on CentOS Stream 9, billed per instance. Each dimension maps to one AWS EC2 instance type, so your rate depends on the instance you choose. Options span general-purpose, compute-optimized, memory-optimized, storage-optimized, and accelerated-compute families. Sizes range from small burstable instances up to bare-metal and large multi-core machines. Larger instances carry higher hourly rates because they provide more CPU, memory, or specialized hardware. You run only the instances you need and stop paying when you shut them down. Vendor support is included with the software.
Top-of-mind questions for buyers
Each hourly rate covers one running EC2 instance of the type named in the dimension. The rate bundles the PostgreSQL software, the CentOS Stream 9 operating system, and vendor support. You pay separately for the underlying AWS compute, storage, and network resources through your AWS account.
Software charges meter running time only. When you stop or terminate an instance, the hourly software rate stops accruing. Underlying AWS storage attached to a stopped instance may still incur AWS fees, but the software license bills only for hours the instance runs.
The vendor provides managed database support, including monitoring, backups, patching, and incident response. Support also covers performance tuning and security hardening for the PostgreSQL deployment. Specific scope for your instance may vary, so confirm exact terms with the vendor.
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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:
Access the instance via SSH using the 'ec2-user' user. Use 'sudo' to run commands requiring root privileges. To switch to the root user, use 'sudo su - root'.
Install Information
- Operating System: CentOS Stream 9
- PostgreSQL Version: 17
- Port: 5432
- Superuser: postgres
- Data Directory: '/var/lib/pgsql/17/data/'
- Config Files: '/var/lib/pgsql/17/data/postgresql.conf' and '/var/lib/pgsql/17/data/pg_hba.conf'
- Log Directory: '/var/lib/pgsql/17/data/log/'
Usage Instructions
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Local Admin Access: Connect locally by running: 'sudo -u postgres /usr/pgsql-17/bin/psql'
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Manage Service: Use 'sudo systemctl start/stop/restart postgresql-17' to control the database daemon.
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Enable Remote Access:
By default, PostgreSQL only allows local connections. To enable remote access, complete these exact steps:
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Step 1: Open '/var/lib/pgsql/17/data/postgresql.conf', find the 'listen_addresses' parameter, uncomment it, and set it to: listen_addresses = '*'
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Step 2: Open '/var/lib/pgsql/17/data/pg_hba.conf', scroll to the very bottom, and append this exact line: host all all 0.0.0.0/0 scram-sha-256
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Step 3: Apply the configuration changes by running: sudo systemctl restart postgresql-17
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Step 4: AWS Firewall: Go to your AWS Console and ensure the EC2 Security Group has an Inbound Rule allowing TCP Port 5432.
Firewall Configuration
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SSH (Port 22): Required for initial system access.
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PostgreSQL (Port 5432): Required for remote database clients (e.g., pgAdmin, DBeaver) or application servers to connect.
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Security Recommendation: For production environments, strictly limit access to ports 22 and 5432 to trusted IP addresses only via AWS Security Groups.
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.
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