Best Practices for Naming Your PI System Collectives
Naming your PI collectives wisely can enhance system management and scalability. Explore best practices to create effective, future-proof naming conventions.
Roshan Soni
Best Practices for Naming Your PI System Collectives
When setting up a new PI Collective, one of the key decisions that you need to make is naming. While it may seem like a minor aspect, choosing an effective and scalable naming convention can have significant impacts on system management and user interaction down the line. In this blog post, we will delve into the best practices for naming your PI System collectives, drawing on industry insights and personal experiences.
Understanding PI Collectives
PI System collectives are groups of PI Data Archive servers that work together to provide seamless data access and high availability. The way you name these collectives can influence how easily your system is managed and understood by users, especially in large-scale industrial environments where multiple collectives may be in use.
Key Considerations for Naming
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Readability and Length
- A name should be short enough to be practical but descriptive enough to convey its purpose. Long names can become unwieldy and may create readability issues, especially within narrow display fields such as report columns. A concise name such as
PI_SRV1orEUPIDAmay often suffice.
- A name should be short enough to be practical but descriptive enough to convey its purpose. Long names can become unwieldy and may create readability issues, especially within narrow display fields such as report columns. A concise name such as
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Abstraction from Host Names
- Avoid using host-specific details in your collective names. Names such as
Win2019Svr_DC_PI_DA_0001might reflect current configurations but can lead to complications if there's a server migration or maintenance change. This reduces the risk of having to rename collectives should server configurations evolve.
- Avoid using host-specific details in your collective names. Names such as
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Reflection of Organizational Hierarchy
- Consider embedding organizational contexts like regions, functions, or site codes. For example, use
EUPIDA01whereEUdenotes Europe,PIsignifies PI System usage, andDAsignifies Data Archive component. This helps in large organizations where collective names need to be decipherable.
- Consider embedding organizational contexts like regions, functions, or site codes. For example, use
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DNS and Network Resolution
- While not mandatory, creating a DNS alias for your collective can be advantageous. It allows a collective name to resolve to the primary server's IP address, simplifying client connections and Known Server Table (KST) updates. This can be particularly useful if your IT policies encourage the use of DNS for network abstraction and management.
Experience-based Practices
From experience and insights shared among industry professionals, it’s evident that each naming approach brings its pros and cons. When using descriptive but concise names, users find navigating the PI System intuitive, aiding in faster troubleshooting and operational clarity. Meanwhile, aligning collective names with organizational contexts can help maintenance teams quickly identify server roles.
Moreover, technical support experiences have shown that using a distinct DNS alias, rather than relying strictly on hostnames, can lead to smoother transitions and fewer configuration changes needed on client machines.
Conclusion
Naming conventions are an integral part of PI System deployment and management. By considering factors such as readability, abstraction from hardware specifics, and organizational alignment, you can develop a naming strategy that supports both current operations and future growth. Remember, while DNS aliases are optional, they can introduce flexibility and robustness into your network architecture without necessitating client-side changes.
Do you have specific naming strategies that have worked well for your organization? Share your thoughts and insights in the comments!
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About Roshan Soni
Expert in PI System implementation, industrial automation, and data management. Passionate about helping organizations maximize the value of their process data through innovative solutions and best practices.
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