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348: Observability in Software Businesses
The Bootstrapped Founder
Anticipate Scaling Challenges
Future operational issues often become evident when considering the scale of data processing. Conducting operations on small datasets may seem manageable; however, as the dataset grows significantly—scaling from hundreds to millions of items—the demands on memory and processing time can increase exponentially. This can lead to performance bottlenecks that aren't apparent during initial coding and testing. Recognizing these potential pitfalls is crucial to ensure systems remain efficient when transitioning from a local development environment to production.
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