Deploying Scalable PostgreSQL Database Service on Bitdeer AI Cloud

In the era of data-driven applications and AI-powered innovations, businesses require reliable, scalable, and high-performance database solutions. To meet this growing demand, we are excited to showcase RDS (Relational Database Service) on our AI cloud platform. Designed to simplify database management while ensuring security and scalability, our RDS solution is optimized for PostgreSQL, providing a seamless experience for developers and enterprises alike.

Key Features of Our RDS Service

1. Fully Managed PostgreSQL: Our RDS supports PostgreSQL, a reliable and highly extensible open-source database. With broad community support and a rich ecosystem of extensions for analytics, geospatial data, full-text search, time-series workloads, and more, it adapts easily to a wide range of use cases. 
2. Database Monitoring: Monitor your databases with Prometheus, Grafana, and Loki through our RDS, enabling real-time metrics, clear visualizations, and efficient log analysis to maintain performance and database health. 

3. Security & Compliance:
   • VPC (Virtual Private Cloud) Isolation: Provides network-level security by isolating database instances from unauthorized access.
   • Encryption: Protects sensitive data and prevents unauthorized access, ensuring compliance with security best practices.
4. Maintenance-Free Server Management: Offloads the burden of hardware maintenance and OS management, allowing users to focus on application development without worrying about infrastructure upkeep.

Advantages of Using Our RDS Service

Building on these capabilities, our RDS provides several clear advantages:

• Simplified Database Management: Automates routine database tasks such as monitoring, reducing operational overhead.
• Enhanced Security: Data Encryption ensures that your data remains protected from external threats.
• Optimized for Performance: With PostgreSQL’s advanced indexing, querying, and transaction capabilities, RDS provides a powerful solution for data-heavy applications.
• Automatic Failover: With clustered deployment mode, auto failover feature is enabled to prevent application disruption over primary node failure.

Use Cases

These features enable PostgreSQL on Bitdeer AI Cloud to support a wide spectrum of real-world scenarios:

• Backend Databases for Enterprise Applications : Support mission-critical systems such as ERP, CRM, and large-scale SaaS platforms with reliable, high-performance PostgreSQL infrastructure that ensures consistency, availability, and smooth transactional operations.
• Vector Database for Native RAG Workflows : Store and query high-dimensional embeddings using PostgreSQL vector extensions to power Retrieval-Augmented Generation, semantic search, recommendation engines, and other embedding-driven AI applications.
• Graph Database for Graph RAG and Relationship Intelligence : Leverage PostgreSQL graph and JSONB capabilities to model complex relationships, enabling graph queries, entity linking, fraud detection, and Graph RAG scenarios that require deep relational reasoning.
• OLAP Compatibility for Seamless Data Lake Integration : Support analytical workloads through PostgreSQL’s OLAP-friendly features, columnar extensions, and connectors to data lake systems. Enable unified storage, fast aggregations, and ETL workflows without moving data across multiple systems.
• Full-Text Search for Log Storage and Querying : Use PostgreSQL's native FTS capabilities to index and query log data at scale, enabling fast retrieval, filtering, and pattern detection for observability and operational analytics.
• Time-Series Database for Dashboards and Visualization : Store high-volume time-series data such as metrics, events, and telemetry using PostgreSQL time-series extensions. Power real-time dashboards, monitoring systems, IoT analytics, and operational insights with efficient ingestion and querying.
• Web Applications & SaaS :Provide scalable and dependable database infrastructure for CMS platforms, e-commerce systems, mobile applications, and multi-tenant SaaS products requiring predictable performance and strong data integrity.
• AI & Machine Learning Workflows : Serve as a unified data layer for AI pipelines by storing structured datasets, powering real-time analytics, and integrating with AI frameworks for tasks such as inference, recommendation, and predictive modeling.

Getting Started

Deploying a PostgreSQL instance on our RDS platform is straightforward. You can select your desired configurations, set up monitoring with Prometheus, and benefit from security features within a few clicks. 

Step1: Enter the RDS dashboard

Step2: Select Instance Type

Step3: Select PostgreSQL Extensions

For better understanding, please see the full tutorial video below.

Conclusion

Our RDS service is designed to empower businesses by providing a fully managed PostgreSQL solution that combines ease of use, scalability, and enterprise-grade security. Whether you are driving AI-powered innovation, managing enterprise workloads, or running large-scale web services, Bitdeer AI Cloud ensures optimal performance and reliability. By adopting our cloud-based RDS, organizations can streamline operations, enhance data-driven decision-making, and advance their digital transformation.