CUPERTINO, Calif., March 01, 2018 -- Pepperdata, the Big Data Performance company that provides developer and operator solutions to optimize application and cluster performance in Big Data environments, today announces Application Spotlight. This self-service portal enables Big Data application developers to generate application-specific recommendations to improve application performance, highlight applications that need attention, automatically identify bottlenecks, and alert on duration, failure conditions, and resource usage.
Application Spotlight helps developers to search for all applications running on the cluster or just the specific applications that they are interested in, compare current and previous runs, and visualize Spark applications and its stages for easy root cause failure analysis and performance tuning.
“Application Spotlight provides relevant application information, insights, and calls to action, all in one place, so that developers can easily and quickly perform these tasks,” said Ash Munshi, CEO of Pepperdata. “In addition to helping developers make jobs go faster, Application Spotlight enables them to be better tenants in multi-tenant clusters by showing them how to write optimal jobs and more efficiently use their queue and cluster resources with practical, innovative application performance management solutions. Application Spotlight enables developers to quickly understand performance impacts and get recommendations on how to better optimize their jobs.”
Big Data Performance Solutions for Both Developers and Operators
The Pepperdata product suite provides solutions for monitoring, tuning, troubleshooting, applications and clusters along with automated cluster optimization. Pepperdata allows enterprises to:
- Reduce time-to-problem resolution using comprehensive and detailed performance data, allowing developers and operators to troubleshoot performance problems 10x faster.
- Provide developers with solutions that help them identify and fix application performance problems caused by excessive usage of resources and application errors
- Automatically increase cluster capacity utilization by 30 percent to 50 percent without adding hardware.
Pepperdata products improve collaboration between development and operations teams by providing both an application as well as cluster view of performance. Pepperdata products, are used to monitor and manage mixed workloads from frameworks such as Spark, MapReduce, Kafka, Tez, Solr, and Impala.
See a Demo of Application Spotlight at Strata San Jose
Pepperdata is sponsoring, speaking, and exhibiting at Strata Data Conference March 6–8 at the San Jose Convention Center. Please visit Pepperdata Booth #831 to discuss your requirements and see a demonstration of Pepperdata Application Spotlight. For information about our Strata schedule, go to www.pepperdata.com/events.
Helpful Links
- Pepperdata website: https://pepperdata.com
- Application Spotlight product page: https://www.pepperdata.com/products/application-spotlight/
- Twitter: https://twitter.com/pepperdata
- LinkedIn: https://www.linkedin.com/company/pepperdata
- Blog: https://www.pepperdata.com/blog/
About Pepperdata
Pepperdata is the big data performance company. Leading companies such as Comcast, Philips Wellcentive, and NBC Universal depend on Pepperdata to manage and improve the performance of Hadoop and Spark. Enterprise customers use Pepperdata products and services to troubleshoot performance problems in production, increase cluster utilization, and enforce policies to support multi-tenancy. Pepperdata products and services work with customer Big Data systems both on-premise and in the cloud.
Founded in 2012, Pepperdata has raised $20M from investors including Citi Ventures, Signia Venture Partners and Wing Venture Capital, and attracted senior engineering talent from Yahoo, Google, Microsoft and Netflix. Pepperdata is headquartered in Cupertino, California. For more information, visit pepperdata.com.
Pepperdata and the Pepperdata logo are registered trademarks of Pepperdata, Inc. Other names may be trademarks of their respective owners.
Media Contact
Jim Dvorak
Offleash for Pepperdata
(415) 735-1622
pepperdata@offleashpr.com


Daimler Truck Q2 Profit Falls 18%, 2026 Outlook Raised
SanDisk Q4 Earnings Beat Estimates as Q1 Revenue Outlook Meets Expectations
Siemens Energy Q3 Profit Beats Forecast as AI-Driven Power Demand Fuels Growth
Heineken H1 Operating Profit Meets Forecast as Beer Volumes Beat Expectations
Alphabet Stock Slides as Google AI Pioneer Jeff Dean Exits to Launch Discovery Loop
SoftBank Q1 Profit Beats Forecast as Intel Rally and OpenAI Investments Boost Returns
Meta Ordered to Pay $567M Over Child Safety Violations in New Mexico
Delta Flight Makes Emergency Landing in Atlanta After Cockpit Fumes Reported
Cloudflare Stock Jumps 15% as Earnings Beat Estimates, 2026 Outlook Raised
Berkshire Hathaway Cash Falls as Abel Boosts Stock Buybacks
Western Digital Q4 Earnings Beat Estimates as FY2027 Outlook Tops Expectations
Qantas Shares Climb as Long-Haul Pilot Deal Eases Strike Concerns
Novo Nordisk Raises 2025 Outlook Despite Wegovy Pill Miss and CagriSema Setback
Glencore Posts Strong H1 2026 Earnings, Announces ASX Secondary Listing
OpenAI Restricts Astra AI Over Cyberattack Risks
UOB Q2 Net Profit Rises 10% as Wealth Management Growth Boosts Earnings
Nvidia Seen Beating Q2 Targets as Vera Rubin Cycle Begins 



