Observability and Continuous Tuning
for the Big Data Analytics Stack

Real-time visibility for troubleshooting, debugging, and planning.
Automated tuning for optimal performance on-prem and in the cloud.

Run More Apps, Track Spend, and Manage Costs


Automatic Throughput


Visibility for
Accurate Chargeback



On Premises and In the Cloud

Analytics Stack Performance Products


platform spotlight dashboard icon

Diagnose issues
and make
resource decisions.


capacity optimizer dashboard icon

Run more
workloads with
continuous tuning.


query spotlight dashboard icon

Understand query
execution and
DB performance.


home streaming screen

Get near
real-time visibility
into Kafka clusters.


application spotlight dashboard icon

Get a 360° view
of your applications.

Customer Success

Understand Cloud Spend and ROI

cloudmig 451 home

“38.8% of CIOs said that “cost savings” was their biggest motivator in migrating to the cloud, but post-migration, cloud costs was the biggest challenge they faced.”
– 451 Research, 2019

You and your organization just survived migrating to the cloud. A successful Day 1 is accomplished. But what about cloud migration Day 2?  Are you prepared for life in the cloud? Your stakeholders and SLAs aren’t going to wait until things settle down. Planning for success after a cloud migration can mean the difference between seeing the ROI that cloud promises or having to consider moving back to an on-premises solution. 

Creating an accurate cloud footprint requires good planning, a deep understanding of resource utilization, and granular data. Register for this webinar and learn how you can avoid the pitfalls of your cloud migration Day 2 and continue to make data a driving force in your business.

Achieve Big Data Success

Pepperdata products provide a 360° degree view of your platform and applications with continuous tuning, recommendations, and alerting.

What’s New

resources 05


Pepperdata Introduces New Kafka Monitoring Capabilities for Mission-Critical Streaming Applications

Observability and Alerting for Streaming Data Applications in the Big Data Stack

resources 04


Proven Approaches to Hive Query Tuning

Pepperdata Field Engineer, Kirk Lewis
Tuesday June 9, 2020 @ 10 am PT