Legacy upgrades are something that can work for very short-jump upgrades. If there have only been one or two recent version upgrades, a legacy upgrade overlaying the new version onto your existing configurations and data. Today’s software developers often plan for legacy upgrades with routines that make little changes in your current data and configurations. However, even these legacy upgrades can sometimes go wrong. And the more distance between your software version and the version you’re upgrading to increases the potential for corrupted data and failed upgrades. This is exactly why long-jump upgrades must be done from scratch.
The longer the jump, the more important it is that your data is very carefully transitioned from your current tech stack to the new stack of software you’re ready to use. Let’s take a closer look at why that’s true.
Too Much Infrastructure Has Changed
Your company data arranges the software infrastructure. The problem with long-jump upgrades is the infrastructure ages and upgrades. Today’s software is built on better technology, faster routines, and different infrastructure from the original. This means that there may be huge changes in how your data is stored and managed. Infrastructure changes not only mean that data can be corrupted in an attempt to legacy upgrade it, but you might not even want to replicate your original use of the software in favor of improved options.
The Support Software Landscape is All-New
No one piece of software is an island anymore. While there are plenty of all-in-one systems, add-ons and compatibility APIs are a major part of the software playing field, and have been for decades. In business, it’s common practice to hook together a mosaic of software to achieve the functions and integrations you need. This is true from WordPress plugins to EMS APIs. The problem with long-jump legacy upgrades is that the support software for your core tech stack has completely changed.
APIs and add-ons are the most likely to become abandonware replaced by completely new add-ons. Very likely, your old integrations simply won’t translate cleanly to a new system. Thus, all the connections they make in your data can become broken.
Data Storage Doesn’t Work the Same Way Anymore
One of the biggest changes in the last two decades of software is how we store data. Data storage has become more compact and accessible. In other words, the way modern software handles data is different from how your original tech. Especially large-volume data storage. This means it will be difficult to impossible to “simply upgrade” your old software to the new software, because the new software will be storing and seeking data differently. You will need a full data transition.
High Possibility of Data Corruption
This also means that data corruption is a very likely possibility. Data corruption happens when a legacy upgrade attempts to alter and move data to fit the new software infrastructure. If that transition isn’t perfect, say, because you have tons of data of various types that don’t all transition perfectly from one system to the next, then corruption happens. Data corruption in a legacy installation can mean actually losing the data you were trying to transfer unless you have incredibly thorough backups to restore the old system with its data and try again.
Fresh Installs Have Better Performance
Finally, it’s a simple fact that fresh installs and full transitions offer you better performance. There will be no legacy routines or outdated software technology holding you back. You will be able to build a fully optimized workflow with your freshly transitioned data rather than worrying about keeping things the same or translating how things used to be done versus the best way to do them now.
Processes will be faster and your company’s experience of the new software will be more efficiently complete
Learn More About Long-Jump Upgrades
Legacy upgrades are only functional when there is only a version or two gap between your version and the version you are upgrading to. Long-jump legacy upgrades have a much higher chance of failure, difficulties, data corruption, and a laggy imperfect new installation. Contact us to learn more.