Pepperdata’s Capacity Optimizer for Amazon EMR dramatically maximizes efficiency.
Eliminates the guessing game of manual tuning
Optimizes workloads in real time
Reduces cloud costs autonomously
Getting a data stack up and running is just one step—making sure it’s optimized is the true challenge. This in-depth customer account from Autodesk Chief Architect Mark Kidwell highlights how Autodesk utilized Pepperdata on Amazon EMR.
Click the image to watch the video. Or read the case study to learn how Autodesk optimized their Amazon EMR infrastructure.
If you are planning new or additional workloads to Amazon EMR, Pepperdata delivers unparalleled insight before your migration and robust cost savings after your migration. We can help you achieve in three easy steps with a no cost cloud migration assessment.
STEP 1: Guided install with Pepperdata to profile your workloads: ~60 minutes
STEP 2: Run Pepperdata: ~2 weeks
STEP 3: Review your free customized assessment: ~60 minutes
Once you’ve migrated your workloads to your new cloud environment, Pepperdata’s Capacity Optimizer allows you to reduce costs further by reclaiming unused resources and optimizing scaling so that both waste and cost are minimized.
Looking for a safe, proven method to reduce waste and cost by up to 50% and maximize value for your cloud environment? Sign up now for a 30 minute free demo to see how Pepperdata Capacity Optimizer Next Gen can help you start saving immediately.