SignalFx announced its integration with Apache Spark.
SignalFx now adds real-time visibility across infrastructure, clusters, and applications, which is necessary for optimizing performance in today’s rapidly changing world.
SignalFx provides a comprehensive, real-time view across Spark clusters and applications, which helps to maximize the performance of analytics and data science at scale. The SignalFx integration with Spark provides monitoring at every level and is complemented by several new built-in dashboards, including cluster overview, master and worker processes, and running jobs. Teams can proactively address performance issues before latency or outages that affect end users.
“Spark and Databricks’ Spark-based platform have become the defacto standards for data science and engineering at many of our enterprise customers.” said Mark Cranney, Chief Commercial Officer of SignalFx. “Our latest integration enables Spark and Databricks admins, data scientists, developers, and operators to gain the real-time visibility required to innovate at high speed.”
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