Advisor to Chief Executive Officer and Board of Directors at Banjo
Based in Los Gatos, California.
Steve attended Santa Clara University
'This is a major breakthrough, I wish [Performance Sherpa] had existed years earlier!' Performance Sherpa improves latency and cuts cloud footprint by 2-10x. For a complex application that takes a team of engineers several weeks to tune, Performance Sherpa can achieve the same in a few days.How do you measure your teams performance on cloud costs? Are your teams fixing performance issues manually? Is you team telling you that they have it under control?Where is the breaking point when it comes to the monthly bill?There is another way to approach it without paying more to your cloud provider...Call or email for a demo to see how you can not only reduce your cloud spend costs, but also better manager your your cloud application workloads....Win-Win for Finance & Ops!Works with Cloudera, Hortonworks, MapR, Hadoop, Java, Spark, Hive & Apache Adaptive etc.. --->> Verizon Yahoo/AOL: 'Performance tuning of every Hadoop application in production is a very manual and time- consuming process. We needed a system that can learn and adjust resource requirements of M/R jobs in real time. Performance Sherpa exactly does the same, uses AI to learn the systems and adjusts resource requirements dynamically. This is a major breakthrough, I wish this platform had existed years earlier!'--->> Large Gaming Co: Using PS to lower monthly AWS spend by 30-80% via Automated Performance Control of Big Data apps.Performance Sherpa uses AI for performance optimization. AI-based learning engine that observes, probes, and learns the performance characteristics of every app and every compute node in the cluster via low-level experiments that are run in a safe and non-intrusive manner. Insights derived by the learning engine are applied to tune each application to meet the performance goals. AI makes it easy to adapt to new frameworks as they become popular.