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Maximize Your Savings: How Autodesk Optimized its Amazon EMR with Pepperdata

Presented by

Kiran Guduguntla, GTM Leader, AWS; Kirk Lewis, Sr. Solutions Architect, Pepperdata; Mark Kidwell, Chief Architect, Autodesk

About this talk

You’ve migrated your workloads to Amazon EMR, and you want to optimize the environment and do more for less. With cloud cost optimization critical in establishing an innovative big data framework, AWS and Pepperdata gathered multiple experts to discuss how to maximize your savings with Amazon EMR and Pepperdata. In this webinar, you will learn: - AWS customer best practices to optimize your Amazon EMR utilization - How Autodesk, a global leader offering design and manufacturing software, lowered operational expenses while enhancing its Amazon EMR scalability and reliability. - How implementing Pepperdata Capacity Optimizer can help you see an immediate cost reduction in your Amazon EMR infrastructure bill while maintaining performance SLAs. Webinar Speakers: Kiran Guduguntla, AWS Worldwide Business Leader for Amazon EMR Kirk Lewis, Pepperdata Senior Solutions Architect and special guest Mark Kidwell, Autodesk Chief Data Architect, Data Platforms and Services Who Should Attend: CIO, CFO, VP of IT, FinOps Engineer, Platform Engineer, IT Ops, Cloud Architect, Data Platform, Big Data Architect
Pepperdata

Pepperdata

6421 subscribers3 talks
Real-time, automated cloud cost optimization with no manual tuning
Pepperdata Capacity Optimizer delivers 30-47% greater cost savings for data-intensive workloads, eliminating the need for manual tuning by optimizing CPU and memory in real time with no application changes. Pepperdata pays for itself, immediately decreasing instance hours/waste, increasing utilization, and freeing developers from manual tuning to focus on innovation.
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