Reduce cloud costs by up to 47% with real-time optimization

Cloud computing introduces application overprovisioning challenges. While infrastructure is optimized, application-level waste remains, comprising up to 40% of optimization potential. This isn't developers' fault but an issue in resource provisioning, especially with Apache Spark.

Applications can be overprovisioned by 30-50%, causing waste and costs. Manual tuning isn't viable in complex environments. Systems like YARN and Kubernetes are limited, unaware of actual resource usage.

This white paper presents a solution using real-time optimization to cut cloud costs by 30-47% without manual tuning. Discover how Pepperdata's algorithms enable dynamic resource allocation based on actual usage.

Vendor:: Pepperdata
Posted:: Feb 13, 2025
Published:: Feb 14, 2025
Format:: PDF
Type:: White Paper

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