Lessons Learned from Managing Thousands of Production Apache Spark Clusters Daily
545 views · Published 12 June 2017 · 26:00 · Indexed 23 October 2026
Channel: Databricks · 2017 · Science & Technology
At Databricks, we have a unique view into hundreds different companies using Apache Spark for development and production use-cases, from their support tickets and forum posts. Having seen so many different workflows and applications, some discernible patterns emerge when looking at common manageability, debugging, and visibility issues that our users run into. This talk will first show some representatives of these common issues. Then, we will show you what we have done and have been working on in Databricks to make Spark clusters easier to manage, monitor, and debug. With Henry Davidge and Josh Rosen. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unified-data-analytics-platform Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
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