Overview
PostgreSQL 17 Production-Ready Database Stack - Ubuntu 24.04 LTS
Deploy enterprise-grade PostgreSQL databases in minutes, not hours. This AWS Marketplace solution delivers a fully-configured, production-ready PostgreSQL 17 environment on Ubuntu 24.04 LTS, optimized specifically for AWS infrastructure. Eliminate manual database setup complexity while ensuring security, performance, and reliability from day one.
Automate your entire deployment process with a battle-tested database stack that includes security hardening, automated backup systems, real-time monitoring, and performance optimization tailored for AWS workloads. Perfect for launching new applications, migrating existing databases, or scaling current infrastructure.
KEY FEATURES
Automated Deployment One-click deployment of PostgreSQL 17 on Ubuntu 24.04 LTS Complete stack deployment in under 2 minutes Pre-optimized settings for AWS instance types and storage Infrastructure-as-Code ready for repeatable deployments Automatic security hardening and compliance configuration
Enterprise Security Automatic security group configuration for database access Encrypted connections with TLS 1.3 by default Automated security patch management and updates Audit logging enabled for compliance requirements Network isolation and firewall rules pre-configured
High Availability Automated daily backups to Amazon S3 with retention policies Point-in-time recovery capabilities for data protection Built-in replication configuration for high availability Multi-AZ deployment ready architecture Automated failover testing and validation
Performance Optimization AWS-specific performance tuning for optimal database operations Automatic memory and storage optimization based on instance size Query performance monitoring and optimization tools Connection pooling pre-configured for web applications Storage optimization for GP2, GP3, and io2 volumes
Monitoring Management Integrated performance dashboard for real-time insights Custom CloudWatch metrics and alarms pre-configured Query performance analysis and slow query detection Capacity planning and scaling recommendations Automated health checks and alerting system
Backup Recovery Automated backup scheduling with configurable retention Backup encryption and integrity verification One-click restore from any backup point Backup testing and validation automation Cost-optimized backup storage strategies
Scalability Flexibility Vertical scaling support with zero downtime options Read replica automation for horizontal scaling Storage auto-expansion for growing databases Load balancing configuration for distributed workloads Connection management for high-concurrency applications
Cost Optimization Right-sized instance recommendations based on workload Storage optimization for cost efficiency Automated start/stop scheduling for development environments Resource utilization monitoring and reporting Cost allocation tagging and reporting
Developer Experience Standardized connection strings and access patterns Database migration tool integration Schema management and version control readiness Development/production parity assurance CI/CD pipeline integration templates
SUPPORTED USE CASES
Web Applications E-commerce High-traffic website databases with read/write optimization Session management and user data storage Product catalog and inventory management systems Transaction processing and order management
SaaS Multi-tenant Applications Schema-based or row-based multi-tenancy support Tenant isolation and data separation Performance isolation between customers Billing and usage tracking integration
Data Analytics Business Intelligence Reporting database configurations ETL pipeline destinations Data warehouse feeding and synchronization Real-time analytics processing
Mobile IoT Applications High-concurrency connection handling Time-series data optimization Device management and data collection Real-time data processing backends
Enterprise Applications ERP and CRM system databases Document management and content storage Financial and accounting systems HR and payroll management systems
TECHNICAL SPECIFICATIONS
PostgreSQL Version 17 Latest stable release Operating System Ubuntu 24.04 LTS Architecture x86_64 optimized for AWS Database Extensions Includes pg_stat_statements, pgcrypto, uuid-ossp, postgis optional Storage Compatible with all EBS volume types Networking VPC optimized with security best practices Monitoring CloudWatch integration with custom metrics Backup S3 integration with lifecycle policies
Highlights
- Deploy in 2 Minutes - Complete production-ready PostgreSQL 17 stack with security hardening, automated backups, and monitoring pre-configured for immediate use on AWS infrastructure.
- AWS-Optimized Performance - Pre-tuned for AWS instance types with automatic memory allocation, storage optimization for EBS volumes, and CloudWatch integration for real-time performance insights.
- Built-in TLS encryption, automated security patches, audit logging, and compliance-ready configurations following AWS Well-Architected Framework principles.
Details
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- ...
Dimension | Cost/hour |
|---|---|
t2.large Recommended | $0.10 |
t3.micro | $0.10 |
r6idn.24xlarge | $6.40 |
g4dn.8xlarge | $1.60 |
c5a.24xlarge | $6.40 |
x1e.32xlarge | $2.40 |
r6a.2xlarge | $1.60 |
m5zn.3xlarge | $1.60 |
t3.medium | $0.10 |
inf2.48xlarge | $3.20 |
Vendor refund policy
For this offering, Galaxys Cloud does not offer refund, you may cancel at 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
ver1.2-2025
Additional details
Usage instructions
1. SUBSCRIBE AND LAUNCH Navigate to AWS Marketplace and locate PostgreSQL 17 Production-Ready Database Stack. Click Continue to Subscribe, review terms, and accept the offer. Select Continue to Configuration. Choose your fulfillment option and software version. Click Continue to Launch. Choose Launch from Website or via EC2 Console.
2. CONFIGURE INSTANCE Select the Amazon Machine Image (AMI) for your region. Choose an EC2 instance type. For production, use instances with at least 4GB RAM like t3.medium or m5.large. Configure instance details. Ensure launch in your desired VPC and subnet. Configure storage. Minimum 20GB GP3 volume recommended. Configure security group. The launch auto-creates a group opening port 5432 for database access.
3. LAUNCH AND CONNECT Review configuration and proceed to launch. Select or create a key pair for SSH access. Download and secure the private key. Click Launch Instance. Wait 3-5 minutes for initialization and software installation.
4. INITIAL DATABASE ACCESS SSH into the instance using the ubuntu user with your key pair:
ssh -i your-key.pem ubuntu@your-instance-public-ipConnect to PostgreSQL using local peer authentication (no password required):
sudo -u postgres psql5. SET DATABASE PASSWORD Once connected to PostgreSQL (you will see the postgres=# prompt), set a secure password:
ALTER USER postgres WITH PASSWORD 'your-strong-password-here';Exit PostgreSQL:
\q6. DATABASE CONNECTION Connect to PostgreSQL using any standard client with these credentials:
- Host: Your instance public IP or DNS name
- Port: 5432
- Username: postgres
- Password: The password you set in step 5
For remote connections, you must first enable them by editing configuration files.
7. ENABLE REMOTE ACCESS (OPTIONAL) To allow connections from outside the instance:
Update PostgreSQL to listen on all interfaces:
sudo sed -i "s/^#listen_addresses = .*/listen_addresses = '*\'/" /etc/postgresql/17/main/postgresql.confAdd remote authentication rule:
echo "host all all 0.0.0.0/0 scram-sha-256" | sudo tee -a /etc/postgresql/17/main/pg_hba.confRestart PostgreSQL:
sudo systemctl restart postgresql@17-mainUpdate AWS Security Group to allow port 5432 from your IP address.
8. POST-DEPLOYMENT Configure automated backups via scripts in /home/ubuntu/scripts/ Review and adjust CloudWatch alarms as needed Restrict security group rules to allow port 5432 only from your application servers
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