You're Invited
AWS and Pepperdata invite you to join us for lunch and a hands-on lab session. Experience for yourself the “before and after” savings with Pepperdata.
Even after you manually tune the environment and run Cluster Autoscaling, you’ll see how Pepperdata eliminates additional waste to reduce instance hour costs in real time.
What You’ll Learn:
How large customers such as Autodesk and mid-sized customers such as Extole realized additional 30-47% cost savings for their Spark workloads on Amazon EMR with Pepperdata.
Who Should Attend:
Amazon EMR customers running Apache Spark for data-intensive workloads. We look forward to seeing you there!
Workshop Schedule
| TIME | ACTIVITY |
|---|---|
| 12:00 pm – 1:00 pm | Lunch and Networking |
| 1:00 pm – 1:45 pm | Introduction and Problem Overview |
| 1:45 pm – 2:20 pm | Lab 1 – Build Your Cluster |
| 2:20 pm – 3:00 pm | Lab 2 – Optimize the Cluster |
| 3:00 pm – 3:30 pm | Lab 3 – Optimize the Application |
| Break | |
| 3:45 pm – 4:15 pm | Lab 4 – Optimize with Pepperdata |
| 4:15 pm – 4:45 pm | Review Results/Next Steps |
Register to Attend
How does Pepperdata help AWS customers?
If you’re using Amazon EMR or Amazon EKS, Pepperdata can save you between 30-47% by automatically reducing the waste in data-intensive applications such as Apache Spark.
Pepperdata Capacity Optimizer autonomously optimizes CPU and memory in real time with no application code changes, and saves time and resources by eliminating the need for ongoing manual tuning and recommendations.
Check out this quick explainer video for more details.
Customer Case Studies
See how other customers have benefitted:
Case Studies
Autodesk Reduces Amazon EMR Costs by 50% and Boosts Performance with Pepperdata
Case Studies
Pepperdata Saves Large Consumer Internet Company 33% for Apache Spark on Amazon EKS
Case Studies
