Some tips for future proofing mapping software that would reduce the maintenance effort tied to changes in geopolitics are:

Designing a modular and scalable software architecture that allows for easy integration of new data sources, features, and technologies. A modular architecture divides the software into independent components that communicate through well-defined interfaces, reducing the complexity and coupling of the system. A scalable architecture enables the software to handle increasing amounts of data and users without compromising performance or reliability.
Leveraging cloud-based services and platforms that offer flexibility, security, and reliability. Cloud-based services and platforms can provide access to various geospatial data and analytics tools, as well as storage, computing, and networking resources. They can also help with data backup, disaster recovery, and compliance with laws and regulations. Cloud-based services and platforms can also enable faster deployment and updates of mapping software.
Adopting agile and user-centric development practices that allow for frequent feedback and iteration. Agile and user-centric development practices involve breaking down the software development process into short cycles or sprints, where the software is tested and improved based on user feedback and changing requirements. This can help the software developers to adapt to changing geopolitics and user needs, as well as to deliver value faster and more efficiently.
Investing in continuous learning and innovation to keep up with the latest trends and technologies in geospatial data and analytics. Geospatial data and analytics are constantly evolving, offering new opportunities and challenges for mapping software developers. It is important to stay updated on the latest developments and best practices in the field, as well as to experiment with new tools and methods. This can help the software developers to enhance their skills and knowledge, as well as to create more innovative and competitive mapping software.
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