Upgrading the IIoT Performance Envelope: How Hardware Affects IIoT Workloads

In the exploration of how hardware upgrades affect the performance of Industrial Internet of Things (IIoT) workloads, it is found that while hardware enhancements can expand the performance envelope, the benefits are not uniform across different aspects of database performance. For ingest capacity, adding more RAM and CPU offers limited improvements, as the process is largely bound by I/O constraints, with diminishing returns once indices overflow from RAM to disk. On the other hand, query speeds can be significantly improved with additional RAM and CPUs, as PostgreSQL can leverage these resources to parallelize queries and keep more data in memory, thus reducing reliance on slower disk access. Despite the cost implications of upgrading hardware, which are relatively low compared to storage expenses, the key takeaway is that hardware solutions are more beneficial for accelerating query performance rather than resolving ingest bottlenecks. Consequently, for IIoT systems facing ingest limitations, exploring specialized time-series databases such as TimescaleDB might be more effective, while boosting compute resources remains a viable strategy for enhancing query efficiency.

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