Your Hive and Impala queries might be running just fine, but what happens when they aren’t? Will you know what went wrong when, and most importantly, why an error occurred? We know that without the proper observability, making well-informed, quick decisions is next to impossible. Not to mention it draws out the troubleshooting process, which can mean a less-than-ideal experience for your end users. That’s why we created Pepperdata Query Spotlight.
Pepperdata Query Spotlight is your one-stop solution for visibility into your Hive and Impala query performance. This solution makes it easy for you to understand the detailed performance characteristics of your query workloads together with infrastructure-wide issues that impact these workloads. With this new functionality, operators and developers can tune, debug, and optimize their query workloads for better performance and reduced costs. This is possible both in the cloud and on-premises.
With benefits for developers, IT operators, as well as the entire enterprise, there’s a lot to be gained from Query Spotlight. Developers can easily summarize query runs, including the number of mappers, stages, and reducers. IT operators can capture an array of real-time metrics—like CPU usage, runtime, and more—to better optimize query performance. Enterprises gain the benefit of better understanding their analytics workloads, to make better business decisions and reach overall success quicker and more efficiently. This solution also makes it possible for IT operators and developers to collaborate seamlessly using a shared unified and detailed runtime view of the query environment. This increased collaboration benefits the entire enterprise as well as both teams.
To get an in-depth look into Query Spotlight, download the Pepperdata Query Spotlight data sheet. This easy-to-consume two-pager includes everything you’d need to know about the solution: key features, technologies supported, and more. Get it now to get one step closer towards true observability.