Maximizing Spot Utilization & Minimizing Job Loss – On-Demand Webinar

Want to minimize job losses while maximizing spot utilization in your cloud data lake workloads? Let us guide you through the process with a real-life scenario from one of our leading content management cloud platform customers.

What You’ll Learn:

Workflow Scenario:
- Understand the daily workflow of running predictive models for clients using our platform, dealing with large data volumes and sophisticated ML models.
Operational Challenges:
- Explore the challenges faced, including intermittent job failures, reliability issues, and lack of troubleshooting visibility.
Three Key Steps:
- Heterogeneous Cluster Configurations: Maximize spot node availability with varied configurations to minimize spot loss.
- Intelligent Spot Management: Ensure reliability by managing spot instances intelligently to mitigate failures.
- Optimizing Spark Applications: Use SparkLens to profile and optimize Spark jobs for performance.

Why It Matters:

Cost Savings: Maximize spot utilization for up to 90% discount compared to on-demand instances, leading to significant cost savings.
Reliability: Ensure job reliability and stability even in the face of spot instance interruptions.
Performance Optimization: Optimize Spark applications for faster execution and efficient resource utilization.

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