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Sematext Announces The First Monitoring, Alerting And Anomaly Detection Solution For Apache Spark In SPM

Apache Spark, the fast-growing in-memory analytics tool for extracting value from Big Data, gets its first -- and thus far only -- monitoring solution


News provided by

Sematext Group, Inc.

Oct 07, 2014, 10:54 ET

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BROOKLYN, N.Y., Oct. 7, 2014 /PRNewswire/ -- Sematext Group, Inc., a Brooklyn-based Performance Monitoring and Log Management solution provider, today announces the first dedicated monitoring support for Apache Spark in the latest releases of its SPM performance monitoring solution.

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Sematext Group, Inc. and Spark logos (PRNewsFoto/Sematext Group, Inc.)
Sematext Group, Inc. and Spark logos (PRNewsFoto/Sematext Group, Inc.)

SPM for Spark monitors all Spark metrics for all Spark components - master, workers, driver, and executor.  It includes alerting, anomaly detection, log correlation, custom dashboards, events graphing, custom metrics, and a lot more.  SPM can be installed On Premises or one can use the Cloud version run by Sematext, in which case the setup takes less than 5 minutes before graphs with Spark (and other apps), JVM, and server performance metrics start appearing in real-time.

"Spark usage has been going through the roof," said Otis Gospodnetic, Sematext's Founder and CEO.  "And engineers and DevOps folks handling Spark have not had a good monitoring tool at their disposal.  By releasing the first Spark monitoring product to market with SPM, we have just filled a big hole in the Spark ecosystem."

Added John Tripier, Alliance and Ecosystems lead at Databricks, "One of the critical factors in the success of Spark has been the large developer community contributing to it, and the growing number of applications using Spark. We're very excited to have Sematext join this community and contribute their expertise with a comprehensive monitoring solution like SPM."

An enterprise-class solution, SPM is used by Fortune 500 and other organizations to monitor many critical Search and Big Data services, such as: Hadoop, Elasticsearch, Kafka, Solr, ZooKeeper, Cassandra, Storm, Redis and others. 

Also unique to SPM is that it works seamlessly with Logsene -- a centralized logging, log management and analytics solution -- to provide a single pane of glass for performance monitoring, centralized log management, alerts, anomalies, custom events, and custom KPIs. Unlike competing products, SPM and Logsene together not only tell users that something happened, they now tell them exactly what and where it happened, so engineers and operations can spend less time finding problems and more time fixing them.  Most companies use a mish-mash of products from different vendors or open-source tools to achieve the same results with far more complications and for a significantly higher TCO.

ABOUT SEMATEXT GROUP, INC.
Sematext Group, Inc. is a Performance Monitoring and Log Management solution provider with employees and customers around the globe. Clients include Comcast, Thomson Reuters, Tumblr, Instagram, The Library of Congress, Lockheed Martin, and many other companies large and small around the world.  Sematext's software products are modular, scalable, and available in SaaS and On Premises versions.  For more information go to sematext.com, follow on Twitter and Google Plus or see what their global team of expert engineers has to say on the Sematext blog.

* Apache Spark and Apache Spark logo are trademarks of the Apache Software Foundation. 

Logo - http://photos.prnewswire.com/prnh/20141007/150705

SOURCE Sematext Group, Inc.

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