Deploying OpenLab in the Cloud

Significance of the Topic

Cloud deployment of analytical data systems offers laboratories and enterprises the ability to shift from capital-intensive on-premises infrastructure to flexible, scalable operational models. By leveraging Infrastructure-as-a-Service platforms such as Amazon Web Services and Microsoft Azure, organizations can reduce hardware maintenance overhead, centralize services, and convert capital expenses into operational expenses.

Study Objectives and Overview

This overview outlines best practices and configuration guidelines for migrating Agilent OpenLab Server and ECM XT to cloud environments. It is intended for users familiar with AWS and Azure offerings, and it highlights tested configurations, hybrid deployment models, network connectivity options, and performance considerations.

Methodology and Deployment Configuration

The document evaluates a hybrid private cloud model in which data acquisition components remain on-premises while servers and storage reside in the cloud. Supported cloud services and components include:

• AWS Elastic Compute Cloud instances for application servers
• AWS Relational Database Service for managed PostgreSQL databases
• AWS Simple Storage Service for archival storage
• Microsoft Azure virtual machines for both databases and application hosting

Two network bridging options are recommended for secure private connectivity:

1. Site-to-site virtual private networks
2. Dedicated private cloud connections offered by the cloud provider

Customers are advised to design a Virtual Private Cloud architecture that meets specific security, routing, and throughput requirements.

Main Results and Discussion

Performance tests indicate that a 1 Gbps network link between on-premises resources and cloud instances yields effective throughput of approximately 45 Mbps under typical latency conditions of 30 to 80 milliseconds. Internal cloud latency between compute instances and storage services falls below 10 milliseconds. To maximize network performance and minimize CPU load, use enhanced networking adapters where available.

Benefits and Practical Applications

The cloud implementation streamlines maintenance by offloading routine system administration to the cloud provider. Key advantages include:

• Scalable compute and storage resources
• Managed database services reducing administrative burden
• Centralized data management for multi-site deployments
• OpEx-based cost structure aligned with fluctuating workloads

Typical use cases involve high-volume data processing, collaborative multi-lab environments, and disaster recovery setups.

Future Trends and Potential Uses

Ongoing developments in cloud networking and database services will further reduce latency and increase throughput for analytical workflows. Emerging capabilities such as serverless computing and container orchestration may simplify application deployment and scaling. Integration with advanced analytics and AI platforms will enable deeper insights from instrument data.

Conclusion

Deploying OpenLab Server and ECM XT in hybrid cloud environments provides flexible, cost-effective infrastructure for analytical laboratories. Adherence to recommended network architectures and cloud configurations ensures reliable performance and supports enterprise-grade data management.