Enterprise-grade hardware on-demand
During capacity planning, IT practitioners are faced with a choice, whether to prioritise performance over costs. Traditional IT infrastructure requires companies to commit to large resources even if their workload only demands these resources intermittently. Data analytics workloads are often performed in batches at fixed intervals. When these batches are not being run, resources are under-utilised.
Conversely, if a company prioritises costs and chooses lower specifications, they can experience poor performance. It will take longer for a job to run and the efficiency of Practitioners can also go down because of longer response times. Furthermore, constant overutilisation of resources may decrease the lifespan of your on-premise hardware.
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