From Continuous Compute to Demand Aligned Infrastructure
Optimizing Qlik infrastructure to reduce unnecessary compute consumption, control Windows licensing costs, and align non-production capacity with actual usage.
THE TRANSFORMATION
$1.08M → ~$640.5K
Annual infrastructure spend
The optimization reduced the reported annual run rate by approximately $439K, representing roughly a 40% reduction in infrastructure cost.
The key point here isn't simply the amount saved. The project changed how infrastructure was consumed:
Continuous compute
↓
Utilization analysis
↓
Scheduled start / stop
↓
Hyper threading optimization
↓
Rightsized infrastructure
↓
Demand aligned operating model
OUTCOME SUMMARY
The Qlik optimization focused on a straightforward infrastructure challenge: capacity was being consumed even when workloads did not require it. Rather than relying on broad infrastructure cuts, the approach combined workload scheduling, hyper threading optimization and utilization-based rightsizing to bring infrastructure consumption closer to actual demand.
The result was a reduction in annual infrastructure spend from approximately $1.08 million to $640.5K, creating roughly $439K in annualized savings. More importantly, the environment moved toward a more controlled operating model where compute and licensing costs could be managed according to actual workload requirements rather than continuous capacity provisioning.
