Run complex queries on Amazon DocumentDB with Apache Spark on EMR
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Optimize cloud costs and accelerate innovation with data and AI
By: AWS
Type: eBook
Read the new ebook, "Scaling Smart: Leveraging AWS for cost-effective growth" to learn how you can create a cost-effective data strategy on AWS that delivers quantifiable value and supports business growth and innovation.
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The Cloud Cost Optimization Imperative for Data-Intensive Workloads on Amazon EMR and Amazon EKS
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Cloud migration offers scalability, agility, and cost savings, but managing costs for data-intensive workloads is challenging. This white paper examines how overprovisioning and waste in applications can cause significant cloud cost overruns, even with optimization strategies.
Learn how Pepperdata Capacity Optimizer tackles resource waste by optimizing CPU and memory usage in real time. Key benefits include:
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Optimize cloud costs with autonomous techniques for data-heavy tasks
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Migrating compute-intensive workloads to the cloud offers scalability and cost benefits, but overprovisioning often leads to waste. This white paper explores how Pepperdata Capacity Optimizer addresses waste by:
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Pepperdata's observability also provides insights into application performance, cluster health, and consumption metrics.
Read the full white paper to learn how you can minimize waste and optimize costs for critical workloads.
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