One common mistake in scalability is failing to design for it from the outset, leading to reactive, costly fixes later. Another significant error is underestimating future growth in user traffic or data volume, which quickly overwhelms infrastructure. Many systems also suffer from database bottlenecks due to a lack of proper sharding, replication, or query optimization. Furthermore, relying on vertical scaling exclusively instead of embracing horizontal distribution often becomes unsustainable. A lack of effective monitoring and logging prevents identifying performance bottlenecks proactively, and ignoring stateless design principles makes scaling out much more complex. Finally, poor caching strategies or not using caching at all can severely impact performance under load. More details: https://employeeservices.gcsnc.com/login/logingeneral.aspx?Returnurl=https%3A%2F%2Fhttps://epi-us.com/