Sample Scheduler for OpenLab revision 2.2 – Site Preparation Checklist

Significance of the Topic

Proper site preparation is critical to ensure that the Sample Scheduler for OpenLab operates reliably over an extended period. It helps prevent installation delays, software conflicts, and performance issues, safeguarding data integrity and maximizing laboratory productivity.

Objectives and Study Overview

This document provides a detailed checklist for customers to prepare their site for the installation of Agilent Sample Scheduler revision 2.2. It outlines responsibilities, environmental requirements, software and hardware prerequisites, and necessary coordination with Agilent support teams.

Methodology and Instrumentation

The site preparation methodology is structured into key areas:

• Computing Environment and Software Setup
  • Supported Operating Systems and OpenLab CDS versions
  • Required SQL Server instances and configurations
  • Backup solution identification
• Hardware Specifications
  • Memory requirements based on agent roles and number of instruments
  • Client display resolutions and network requirements
• Network and Security
  • TCP/UDP port assignments for scheduler services and web interface
  • SSL certificate requirements for secure web connections
• Personnel and Credentials
  • Roles and expert users needed during installation
  • Administrator and database access credentials

Main Results and Discussion

The checklist identifies precise software versions (OpenLab CDS 2.1 SR1 or higher, EZChrom A.04.07 SR1 or higher) and database requirements (SQL Server 2008 R2–2016). It details port access (1433, 6572, 7243–7245) and memory allocations for LIMS agent (120 MB), scheduler agent (150 MB per instrument), and client interfaces (500–900 MB). Coordination with LIMS experts and network administrators is highlighted to streamline integration and avoid installation rescheduling.

Benefits and Practical Applications

• Reduces risk of installation delays and technical issues
• Ensures compatibility across software, hardware, and network components
• Facilitates smooth integration with laboratory information management systems
• Provides a clear framework for resource planning and stakeholder coordination

Future Trends and Opportunities

As laboratories increasingly adopt digital workflows, future developments may include cloud-hosted scheduling services, deeper LIMS and instrument integration via APIs, real-time monitoring through IoT sensors, and predictive maintenance powered by machine learning algorithms.

Conclusion

A systematic site preparation process, as described in this checklist, is fundamental to achieving a reliable and efficient Sample Scheduler installation. Following these guidelines ensures optimal system performance and supports the laboratory’s analytical objectives over the long term.