Why do self-hosted open source monitoring tools experience scalability issues?

Self-hosted open source monitoring tools frequently experience scalability issues primarily due to organic growth in the customer base. As user demand increases, the system must handle a larger volume of data and requests. This growth can lead to performance bottlenecks if the underlying infrastructure is not adequately equipped to scale up or if the software is not designed to handle such increases efficiently.

In many cases, these tools may lack the sophisticated auto-scaling capabilities found in commercial solutions, requiring manual intervention to expand resources. Additionally, if the codebase hasn't been optimized for high concurrency or rapid data ingestion, performance can degrade as more users are added. Without inherent mechanisms to adapt to growing workloads, these tools can struggle to maintain performance standards as their user base expands.

The other choices do not address the core issue of scalability effectively. Optimized code, automatic updates, and higher server capacity may provide some improvements, but they do not directly confront the challenges posed by a growing number of users and the resultant strain on resources.