 We help big data applications work well, everybody's using big data tech, all the companies in different industries, but running big data applications on any system, whether that's Kafka, Spark, Hadoop, NoSQL, MPP platforms is very, very hard, let alone run them well. And what we see is all these companies spend 70% of their time trying to firefight these issues, which is how do I make these applications run? How do I make these applications run fast? Or how do I make these applications run efficiently? And debugging these issues today is a very manual painstaking exercise. What we've done is we've automated performance management for big data so that these companies can focus on driving value from big data rather than spending most of their time firefighting these issues. So we've automated problem discovery, root cause analysis, and resolution for all these common kinds of problems that happen on these big data stacks.