jKool Announces Real-Time Operational Intelligence for Java Deployments
August 03, 2015
Share this

jKool announced support for real-time, operational intelligence for Java deployments.

Users will be able to analyze and visualize real-time machine data streams from Java applications and system log files on a jKool dashboard along with other application metrics and transactions. Subscriptions to real-time updates from infrastructure systems will provide users with proactive detection of performance, availability and capacity issues in their mission-critical applications before they impact the business. jKool’s real-time visualization and analytics enables users to learn what they didn’t already know and capture perishable insights important to their business.

The productivity of IT Ops, DevOps and Application Support is improved by jKool’s consolidation of operational data from multiple applications, servers and tiers onto a single web-based, mobile-ready dashboard. This simplification in process can greatly reduce the time to diagnose a problem resulting in reduced costs and improved customer experience. The jKool Operational Intelligence solution analyzes and aggregates logs and metrics, tracks and traces Java transactions and provides real-time visualization with extreme scalability.

jKool’s real-time capability to spot problems and exceptions quickly and “find the needle in the haystack” provides immediate value to businesses whose applications are exploiting the value in the Digital Healthcare, Retail, Financial Services, the Internet of Things (IoT), and other Web and Mobile applications. jKool’s instant insight helps reduce risk and can immediately improve the productivity of the DevOps and application support teams.

The jKool SaaS platform automatically visualizes time-series data from sources such as Apache Spark, STORM, Log4j, Syslog, Logback, SLF4J, JMX or Java EE in real-time. Using SaaS, there are no servers, database or schemas to manage. jKool’s real-time scorecard provides immediate insight to developers or users in DevOps who can now make split-second decisions based on data in motion about their business-critical applications and infrastructure. They learn what they didn’t already know, take advantage of perishable insights, avoid preventable losses and uncover new opportunities.

jKool visualization includes behavior, performance, location and topology displayed on a real-time dashboard. Users can subscribe to topics of interest and get updates as they arrive or interactively ask questions using an easy-to-use, English-like query language (jKool Query Language or jKQL). jKool, a multi-tenant solution is itself built on the Apache open-source foundation of Cassandra and Solr from DataStax, along with Kafka, Spark and STORM all orchestrated in-concert via jKool FatPipes™ micro services technology. To make data ingestion easy and flexible, jKool provides a library of open-source collectors.

"To date, operational intelligence is normally accomplished via “heavy lifting”, manually attempting to relate events in one log with another and struggling to make sense of tasks that span across applications, servers and tiers. This is a tedious process with low productivity and high risk. jKool’s real-time visualization and analytics can provide instant insight into operational, machine data in real-time improving productivity, reducing risk and increasing application quality,” said Charley Rich, VP of Product Management at jKool. “Today, we are excited to announce our support of a SaaS operational intelligence solution, providing real-time visualization of Java logs, system logs, transactions, performance, availability and other user-defined metrics and trends.”

Share this

The Latest

May 16, 2019

Although the vast majority of IT organizations have implemented a broad variety of systems and tools to modernize, simplify and streamline data center operations, many are still burdened by inefficiencies, security risks and performance gaps in their IT infrastructure as well as the excessive time it takes to manage legacy infrastructure, according to the State of IT Transformation, a report from Datrium ...

May 15, 2019

When it comes to network visibility, there are a lot of discussions about packet broker technology and the various features these solutions provide to network architects and IT managers. Packet brokers allow organizations to aggregate the data required for a variety of monitoring solutions including network performance monitoring and diagnostic (NPMD) platforms and unified threat management (UTM) appliances. But, when it comes to ensuring these solutions provide the insights required by NetOps and security teams, IT can spend an exorbitant amount of time dealing with issues around adds, moves and changes. This can have a dramatic impact on budgets and tool availability. Why does this happen? ...

May 14, 2019

Data may be pouring into enterprises but IT professionals still find most of it stuck in siloed departments and weeks away from being able to drive any valued action. Coupled with the ongoing concerns over security responsiveness, IT teams have to push aside other important performance-oriented data in order to ensure security data, at least, gets prominent attention. A new survey by Ivanti shows the disconnect between enterprise departments struggling to improve operations like automation while being challenged with a siloed structure and a data onslaught ...

May 13, 2019

A subtle, deliberate shift has occurred within the software industry which, at present, only the most innovative organizations have seized upon for competitive advantage. Although primarily driven by Artificial Intelligence (AI), this transformation strikes at the core of the most pervasive IT resources including cloud computing and predictive analytics ...

May 09, 2019

When asked who is mandated with developing and delivering their organization's digital competencies, 51% of respondents say their IT departments have a leadership role. The critical question is whether IT departments are prepared to take on a leadership role in which collaborating with other functions and disseminating knowledge and digital performance data are requirements ...

May 08, 2019

The Economist Intelligence Unit just released a new study commissioned by Riverbed that explores nine digital competencies that help organizations improve their digital performance and, ultimately, achieve their objectives. Here's a brief summary of 7 key research findings you'll find covered in detail in the report ...

May 07, 2019

Today, the overall customer scenario has digitally transformed and practically there is no limitation to the ways in which the target customers can be reached. These opportunities are throwing multiple challenges for brands and enterprises, and one of the prominent ones is to ensure Omni Channel experience for customers ...

May 06, 2019

Most businesses (92 percent of respondents) see the potential value of data and 36 percent are already monetizing their data, according to the Global Data Protection Index from Dell EMC. While this acknowledgement is positive, however, most respondents are struggling to properly protect their data ...

May 02, 2019

IT practitioners are still in experimentation mode with artificial intelligence in many cases, and still have concerns about how credible the technology can be. A recent study from OpsRamp targeted these IT managers who have implemented AIOps, and among other data, reports on the primary concerns of this new approach to operations management ...

May 01, 2019

NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI / ML infrastructures of any size. There are several AI / ML focused use cases to highlight ...