A leading food delivery company faced escalating operational costs within its Databricks environment, driven by the continuous demand for real-time data streaming. With data integral to their logistics, customer insights, and service quality, they required an expert solution to reduce expenses without impacting performance.
Key Challenges
1. Resource-Intensive Clusters
The company relied on clusters running 24/7 to process and deliver real-time insights across various operations. However, the constant resource use resulted in monthly expenses exceeding $400,000 in Databricks DBUs.
2. Maintaining High Performance During Demand Peaks
Service quality depended heavily on cluster performance, particularly during peak ordering periods. Any efforts to cut costs needed to ensure that service levels would not drop, as even minor delays could affect the customer experience.
3. Limited Cost Visibility and Management
Without real-time metrics on resource utilization, the company struggled to identify and address inefficiencies. They needed a system that could track memory and CPU consumption dynamically.
4. Sustaining Long-Term Cost Management
Achieving immediate savings was essential, but the company also required a repeatable process that its internal teams could manage independently. This included training staff to monitor, assess, and adjust configurations without relying on external support.
How did Primus Connect help?
To meet the organisations’ requirements, Primus Connect implemented the following solutions:
Reduced daily cluster spending by over $2,500 within two weeks, equating to
an estimated annual savings of $900,000.
Supplied client with detailed metrics from Unity Catalog 'system' tables
showing breakdown by dollar spend and resource usage.
By optimising Cluster utilisation, the client achieved 20% greater performance
consistency, especially during high-traffic periods.
Results
Significant Cost Reduction: Reduced daily cluster spending by over $2,500 within two weeks, equating to an estimated annual savings of $900,000.
Enhanced Documentation: Supplied client with detailed metrics from Unity Catalog 'system' tables showing breakdown by dollar spend and resource usage.
Improved Resource Efficiency: By optimising Cluster utilisation, the client achieved 20% greater performance consistency, especially during high-traffic periods.
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