jKool Broadens its Application Analytics with a New Data Collector Ecosystem

New Data Collectors are Now Available for HDFS, Logstash, Apache Flume, Kafka and JMS. jKool® Provides Instant Application Analytics to Businesses In Order to Deliver a Great User Experience

jKool today announced its new data collector ecosystem designed to bring application analytics to a greater audience of users. Starting today, businesses can use these collectors to find and fix problems faster, deliver releases sooner and be more proactive in their application support. Using jKool, these businesses can spend less time fixing problems and more time delivering a great user experience to their customers.

Get root-cause 10x faster!

Understand all aspects of managing and making the most of real-time data, including:

Getting Operational Intelligence from Logs, Metrics, and Transactions

  • How DevOps can identify trends and use them to make better decisions
  • How to diagnose problems in just a couple of clicks
  • How to detect anomalies and determine causality
  • How jKool offers immediate insight, analytics and visualization
  • The dashboard options available to compare, average, and examine all performance metrics with vivid colors and diverse visuals

Read the White Paper

The growing set of collectors now includes support Logstash, Apache Flume, HDFS and JMS. Logstash and Apache Flume, used to centralize data processing of logs and metrics can now send data to jKool for analysis. The new collectors will take advantage of existing platforms leveraging existing input and output plugins in order to stream data to jKool. Consolidate and analyze all of your existing Apache Flume and Logstash data sources along with other data in jKool and get situational analysis of your applications in seconds.

jKool now supports HDFS and can natively read and parse logs located in HDFS.

The new JMS & Kafka collectors read off queues and stream data to jKool. Application specific data, including events and metrics enrich other data sources as part of application analytics.

In addition to the collectors listed above the ecosystem includes collectors for Servlets, Web Logs, JMX, Garbage Collection, Java Logs, Syslog, Apache Spark and many more.

jKool also provides a RESTful API, a cloud-enabled service that can be used to send any sort of data to jKool using REST. Developers and DevOps practitioners using this RESTful API will benefit from an easy-to-use, REST API that makes it easy to send JSON to the cloud service. The jKool API is integrated with Swagger so that developers can use the Swagger SDK Generator to auto-generate a client API making it still easier to engage with the jKool Cloud Service.

jKool’s instant analytics provides immediate value to DevOps and IT Ops professionals who need to find and fix problems faster, deliver releases sooner and be proactive. These users can leverage jKool’s ability to analyze and visualize both historical and real-time data and provide answers immediately. Typical use cases include: analyzing Java Garbage Collection behavior, detecting security issues and acquiring instant insight into business outcomes through real-time analysis of machine data. Businesses will benefit from greater customer satisfaction as they deliver high quality application experiences to their customers.

Using the jKool SaaS, there are no servers, database or schemas to manage. jKool’s real-time scorecard provides immediate insight to developers, DevOps users, IT Ops and business analysts who can now make split-second decisions based on real-time, data-in-motion such as orders, clicks, payments, claims, and searches as well as compare this to historical data, data-at-rest. They learn what they didn’t already know, take advantage of perishable insights, detect preventable losses and uncover new opportunities.

jKool visualization includes behavior, performance, location and topology displayed on a mobile-friendly, web dashboard. Users can subscribe to topics of interest or interactively ask a question using an easy-to-use, English-like query language. jKool, a multi-tenant solution is built on an Apache open-source foundation including: the NoSQL database Cassandra and Solr from DataStax, along with Kafka, Spark and STORM all orchestrated in-concert via jKool FatPipes™ technology.

“Businesses want to provide five star users experiences to their customers. However, the expensive troubleshooting process that often takes place when applications misbehave makes this difficult,” said Charley Rich, vice president of product management at jKool. “Using jKool, these businesses can immediately get to the cause of application misbehavior, fix the problem and restore service. This reduces cost and improves productivity so businesses can innovate and deliver delightful experiences to their customers.”

To learn more about jKool’s application analytics SaaS offering, visit http://www.jkoolcloud.com.

About jKool, LLC
jKool, LLC provides open source technology and a cloud-based service to provide real-time operational intelligence, visualization and analytics from streaming data for DevOps as well as applications in the Internet of Things (IoT), Retail, Finance and Digital Healthcare. Differentiating via ease-of-use and scale, jKool helps developers, DevOps, IT Ops, data scientists and business analysts visualize, analyze and detect trends, providing them with real-time insight into their data. For more information about the company, visit www.jkoolcloud.com.

Contact Information
Charles Rich
jKool, LLC
http://www.jkoolcloud.com
(631) 761-9100