Configuration Management

Overview

Mainely Innovations introduces a suite of custom modules designed specifically for idempotent deployments of AVEVA PI Systems. These modules ensure impeccable reliability, unwavering consistency, and effortless scalability while managing system installations, upgrades, and configurations across a diverse range of critical services.

Systems Maintenance: Robust Support for Essential AVEVA PI Systems

Our modules cater to a diverse range of AVEVA PI Systems, including Data Archive, Asset Framework, PI Vision, PI Web API, PI Interfaces, and SQL. From initial installations to seamless upgrades and intricate configurations, our solution ensures each system's reliability, scalability, and optimal performance.

Advantages of Mainely Innovations' Modules:

Consistency: Achieve uniformity and consistency across deployments, ensuring system reliability.
Scalability: Seamlessly manage installations, upgrades, and configurations across multiple systems and environments.
Reliability: Ensure robust performance and reliability across the spectrum of AVEVA PI Systems.
Idempotency: Perform deployments predictably and repeatably, avoiding unintended changes to configured systems.
Ease of Use: Streamlined resource configurations through straightforward JSON files simplify resource definition and replication effortlessly.

Goals

Configuration management's primary goal is to infuse consistency and reliability into system deployments. Multiple changes introduced manually can lead to inconsistencies across configured nodes, making it challenging to track and maintain changes over time. Although introducing configuration management poses an initial hurdle, its value lies in automatic documentation, producing a transparent and auditable log of system changes over time.

Challenges

Each environment and deployment presents unique configuration challenges. Variances in data curation methods between environments often lead to compatibility issues. While core deployment concepts and playbooks remain consistent, the real challenge lies in aggregating and constructing accurate data references. This ensures a seamless transition to configuration management without disrupting production systems during the transition.