Originally published in Forbes Technology Council
An application can work exactly as intended in development and still struggle when it reaches production. The issue isn’t always the application itself. Sometimes, the architecture underneath it can no longer support the conditions in which the application needs to operate.
In his latest Forbes Technology Council article, Arango CEO Shekhar Iyer examines what happens when growing data volumes, deeper relationships, changing context, security requirements and deployment demands begin to push an application’s data architecture beyond what it was designed to handle.
The distinction becomes especially important for AI and other mission-critical applications. These systems may need to connect current data, relationships, history and permissions in real time to make reliable decisions. When that context is current, connected and available within production requirements, it becomes leverage. When it is incomplete, outdated or too slow to retrieve, it can become a liability.
Is Your Architecture Still Fit for the Application?
Shekhar describes this as “production-architecture fit”: whether the data architecture can satisfy an application’s performance, scale, security, governance and deployment demands as its data, relationships and operating conditions change.
The warning signs don’t always appear as one obvious architecture failure. Teams may find that useful answers increasingly depend on navigating deeper chains of relationships. Multiple production requirements may become difficult to meet simultaneously. Or engineering teams may add databases, pipelines, APIs and custom logic to compensate for limitations in the underlying architecture.
Eventually, those constraints can extend beyond engineering. Architecture decisions can begin to influence what an organization can ship, where an application can be deployed and which customers, users or missions it can support.
That changes the question technology leaders should be asking. Rather than simply asking whether the data architecture can support an application, they should consider whether it can support the conditions under which that application must operate in production.
