One size doesn’t fit all. It very true especially when it comes down to PLM implementations. Once released as a toolkit, PDM / PLM systems did a long way from a system that requires special software compilation to be done for every customers to the current system with flexible data models and tools allowing to configure and customize almost everything. Flexibility (in data model and code) is one of the most demanded characteristics of modern PLM systems.
Customization is also special territory in PLM business. It brings complexity and requires special attention. PLM vendors spent lots of effort to reduce the amount customization required for PLM deployments. However, after all, every PLM implementation requires services. Part of these services is related to customer requests to develop special functionality.
Cloud brings some advantages and complexity to PLM customization-ability. Specific aspects of cloud technology and customization can be different for public and private cloud deployment. Multi-tenant architecture can apply some additional level of complexity. One of the aspects of complexity can be usage of development tools on the cloud.
TechCrunch Disrupt NY presentation by Codeanywhere caught my attention. Navigate your browser to read more Codeanywhere, The Google Docs For Developers, Rocks Startup Alley At Disrupt NY. The idea of Codeanywhere to serve as universal coding environment available on any device is compelling. Look here for more features. I specially liked the ability to manage and store code in different repositories. You can connect to your favorite 3rd party services like Dropbox, Github, Google Drive as well as move files and folders between services.
I have to say that Codeanywhere is not the only provider of coding environment in the cloud. Navigate here to see more tools available. My attention caught service called Runnable. Note, the broad support of languages and tools – C++, Java, Rails, Node.js, JQuery, PHP and more.
Cloud code environments made me think about the opportunity integration (or even embedding) of such type of development environment into cloud PLM platforms. It can provide unmatchable capability to customize PLM systems regardless on location from both sides (customer and developer). The result – low development cost, flexibility to chose the location of service providers and lower customization expenses for customers.
What is my conclusion? Cloud puts some constraints on PLM system customization. To choose special and effective tools can be a game changer for efficient customization. Risk of broad errors and complex multi-tenant constraints raises the need to create a special customization environment. At the same time, cloud is an excellent opportunity to lower the cost of PLM customization by optimizing the overall customization process and, as a result of that, lower expenses. PLM service providers can work from remote locations as well as have much simpler way to re-use customization. Just my thoughts…
pic credit – codeanywhere.com and runnable