Analyzing the Performance Effects of Meltdown + Spectre on Apache Spark (Chris Stevens)
170 views · Published 25 September 2018 · 33:04 · Indexed 30 September 2026
Channel: Databricks · 2018 · Science & Technology
Chris Stevens, a software engineer at Databrick, discusses the Meltdown and Spectre are two security vulnerabilities disclosed in early 2018 that expose systems to cross-VM and cross-process attacks. They were the first of their kind and opened up a new class of exploits that allow one program to scan another program’s memory. The kernel and VM patches released to address these vulnerabilities have shown to degrade the performance of Apache Spark workloads in the cloud by 2-5%. Learn more here: https://databricks.com/session/analyzing-the-performance-effects-of-meltdown-spectre-on-apache-spark-workloads Article you might like: https://databricks.com/session/apache-spark-for-library-developers 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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