Overview
This is a repackaged open source software product wherein additional charges apply for technical support with a 24-hour response time. PostgreSQL 18, built on a minimal Amazon Linux 2023 installation, is included in this AMI, repackaged by Easycloud. It provides a production-grade relational database engine with strict ACID guarantees and deep extensibility, deliberately engineered to serve as a dependable transactional and analytical data layer for cloud-native applications.
Core Features & Integrations
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Amazon Linux 2023 Foundation: Provides a highly optimized, cloud-native underlying OS with familiar RPM ecosystem paradigms, ensuring high security, AWS-native performance, and seamless operational interoperability for users transitioning from RHEL, AlmaLinux, Rocky Linux, and traditional CentOS deployments.
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PostgreSQL 18: One of the world's most advanced open-source relational database systems, known for strict ACID compliance, a rich SQL feature set, and deep extensibility through JSONB, full text search, and foreign data wrappers. Release 18 advances that lineage with an asynchronous I/O subsystem, skip scan support for multicolumn B-tree indexes, and further logical replication improvements, delivering measurable gains for both transactional and analytical workloads. The matching contrib extension set is installed alongside the server, so widely used modules such as pg_stat_statements, pgcrypto, and postgres_fdw are available immediately.
Key Benefits
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Extensibility Without Compromising ACID Guarantees: PostgreSQL pairs full ACID transactions and MVCC concurrency with an extension system that lets you add data types, index methods, procedural languages, and foreign data wrappers without forking the engine. That combination is why a single PostgreSQL deployment can absorb JSON document storage, geospatial queries, time-series rollups, and vector similarity search that would otherwise demand separate specialized databases. Major release 18 carries upstream community support through November 2030, giving the deployment a long and predictable maintenance horizon.
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The Ultimate Relational Data Store: By starting with a bloat-free Amazon Linux 2023 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 self-hosted platforms that standardize on PostgreSQL (Supabase, Keycloak, Odoo, Discourse, Strapi, NocoDB, n8n), pairs naturally with adjacent data layers (MySQL, MariaDB, Redis), and serves as a rock-solid backbone for analytics, monitoring, and container platforms (Metabase, Grafana, Zabbix, Sentry, 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
- Amazon Linux 2023 (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 |
t2.micro | $0.03 |
t3.micro | $0.03 |
t2.nano | $0.03 |
t3.nano | $0.03 |
t3a.nano | $0.03 |
t1.micro | $0.03 |
t3a.micro | $0.03 |
m1.small | $0.04 |
t2.small | $0.04 |
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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 'ec2-user'. You can switch to the root user environment by running: sudo su -
Install Information
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OS: Amazon Linux 2023
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PostgreSQL: 18.4
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Service Name: postgresql
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Config File: '/var/lib/pgsql/data/postgresql.conf'
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Authentication Config: '/var/lib/pgsql/data/pg_hba.conf'
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Data Directory: '/var/lib/pgsql/data'
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Local Admin Access: Connect locally by running: 'sudo -u postgres psql'
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Manage Service: Use 'sudo systemctl start/stop/restart postgresql' 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/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/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
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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.