Get Better Visibility into Your Hive and MapReduce Application Performance ON DEMAND Apache Hive queries and MapReduce jobs often experience performance issues and bottlenecks because of the multi-tenant nature of Hadoop and a lack of visibility into performance. This deep dive demo of Driven, performance management for Big Data applications, show you how you can […]

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In our last post, we talked about the possible options for organizing to achieve operational excellence on Hadoop and the pro’s and con’s of each model. A couple of key points that surfaced during our conversations with our customers who have successful production deployments were: 1) be conscious of the fact that data applications are […]

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First off, there is no right answer to how to organize to ensure Hadoop production readiness – Only the right answer for you (sorry). The key is to understand the implications, potential limitations and when to rethink how you are organized. Hadoop, like any other environment, is not static. It will change, mature and grow […]

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Ensuring reliable application performance in a production Hadoop environment is really hard. We feel your pain and after speaking with dozens of organizations with mature implementations, some common themes emerge about the nature of these environments: Multiple business teams are developing applications using the technology that best suites their use case and/or skill set As a result, […]

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Hadoop is hard and if you’ve ever tried to code in MapReduce or manage a Hadoop cluster running production jobs, you know what I mean. Apache Spark has promise and simplifies some of Hadoop’s complexities but also brings its own challenges. The good news is regardless of technology, there are more and more successful Big […]

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is the world’s leading online marketplace for the vacation rental industry. On November 10, 2015, we hosted a technical discussion with the HomeAway Big Data architects and engineering team. At the end of this session, you’ll know how the HomeAway team implemented shared Hadoop environment to meet revenue and growth objectives. You’ll gain insight into […]

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Let’s face it; ensuring reliable application performance in a Hadoop shared services environment is hard.  With more organizations moving this direction, we’ve developed a clear understanding of some of the common challenges almost every organization has faced along the way and we want to share those with you.  Hopefully, armed with this information you can anticipate issues […]

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New Release Delivers Comprehensive Monitoring and Management for Hadoop and Spark Applications Across the Enterprise SAN FRANCISCO – Oct. 20, 2015 – Concurrent, Inc., the leader in data application infrastructure, today announced the latest release of Driven, the industry’s leading application performance management solution for monitoring and managing enterprise-scale Big Data applications. Driven 2.0 represents an […]

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The good news is your Big Data investment is paying off and multiple teams are now using Hadoop to run hundreds of Apache Hive queries and MapReduce jobs. The bad news is everyone is using the cluster. Existing cluster monitoring solutions lack the application performance visibility to enable operations teams to manage the chaos and […]

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