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JKOOLCLOUD.COM
jKool Performance Analysis
Enterprise Metrics
Monitoring performance, availability and compliance can
produce a lot of data. In order to meet internal SLAs and
externally imposed regulatory requirements these
systems are always on, constantly writing their data to a
database and maintaining an audit trail.
While the intent of monitoring is problem avoidance, the
side effect of pervasive monitoring is that it can be time-
consuming and costly. The data volumes produced can
be viewed as big data and with that comes the challenge
of finding what’s important in massive amounts of data
within the time allotted.
Often, managing this data becomes a bigger problem
than acquiring it. Expensive databases that may not
scale sufficiently, along with high personnel costs and
internal MIPS-based chargebacks are required for this to
be effective. Activities required for database
maintenance such as purging and data reorganization
can have an unexpected adverse impact on the availability
of mission critical applications. They can also negatively
impact adjacent systems such as monitoring and other
enabling technologies that rely on databases.
jKool®
jKool addresses the challenges in maintaining enterprise
metrics in the following ways:
° NoSQL big data repository scales to the largest
volumes and transaction rates
° Self-services access to data reduces personnel costs
° No charges for MIPS utilization
° English-like query language makes its to find the data
you need
jKool’s easy-to-use and highly configurable web dashboard makes analyzing your enterprise metrics data
easy. Queries drive each of the Viewlets which are easily entered using the dynamic Query Builder.
About jKool jKool, LLC, provides a SaaS, cloud-based
solution for real-time visualization and analysis of streaming Big
Data. Differentiating via ease-of-use, and scale, jKool delivers a
solution that help the business, developers and data scientists
visualize, analyze and understand their data in real-time.
Join the community at jKoolCloud.com
© 2015 jKool, LLC.
jKool Performance Analysis
jKool’s sophisticated charting includes multi-panel
charts with candlesticks, as seen above. This chart
shares an X axis (time) across three panels showing
concurrently: elapsed time, average gains and losses,
Store Metrics from AutoPilot
jKool can be used to store IT monitoring metrics such as :
° Memory, CPU and disk utilization
° JMX metrics, queue depth
° Log file data and more
Instead of writing this data to a database such DB2 on zOS,
where MIPS and maintenance costs are high, stream the
data to jKool. Users can then take advantage of web-based
self-service reporting. This will reduce support calls,
improve staff productivity and eliminate maintenance
windows due to database availability and performance
issues.
Nastel uses jKool technology either in SaaS or on-premises
format to store and manage enterprise metrics. AutoPilot
and data from other monitoring systems can be streamed to
its repository.
How Nastel/jKool can help
Nastel is an acknowledged industry-leader in monitoring
and real-time analytics and has worked with the largest
enterprise customers in the world to provide real-time
monitoring dashboards displaying analytics using complex
event processing and reporting.
Analyze Performance Metrics
jKool visualization of streaming analytics as a service
detects actionable insights in Enterprise Metrics stored in
its Big Data repository, uncovering opportunities such as
preventable losses. There is no need to manage a server,
database or schema. jKool provides a rich set of stream-
ing operators including Bollinger Bands and Exponential
Moving Averages to immediately identify outliers and
anomalies hidden in your metrics.
Respond to Trends
Insight comes from JKool’s real-time, in-memory trend
analysis . With today’s volume of data and rate of change
the RDBMS approach is no longer viable –too slow and
expensive. Trends are perishable, have a shelf-life and
rapidly expire. jKool provides the instant awareness to
enable your to rapidly respond to trends and stay ahead.
Self-Service
Using’ jKool’s flexible, easy-to-use dashboard and English
query language the business user can create ad-hoc queries
and immediately capture insights from their enterprise
metrics data.
Ease-of-use
Talk to your data in English. jKool provides the business
user with an English-like query language, jKQL (jKool
Query Language) to interactively explore their data. There
is a web-based, mobile-ready dashboard that is query
driven and provides a variety of streaming operators to
make analysis deep, fast and easy.
Scalability
jKool’s Lambda Architecture can handle the largest volume
of complex, concurrent data streams in near real-time.
The compute grid automatically parallelizes queries for the
utmost in performance and elasticity.

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jKool Performance Analysis Datasheet

  • 1. JKOOLCLOUD.COM jKool Performance Analysis Enterprise Metrics Monitoring performance, availability and compliance can produce a lot of data. In order to meet internal SLAs and externally imposed regulatory requirements these systems are always on, constantly writing their data to a database and maintaining an audit trail. While the intent of monitoring is problem avoidance, the side effect of pervasive monitoring is that it can be time- consuming and costly. The data volumes produced can be viewed as big data and with that comes the challenge of finding what’s important in massive amounts of data within the time allotted. Often, managing this data becomes a bigger problem than acquiring it. Expensive databases that may not scale sufficiently, along with high personnel costs and internal MIPS-based chargebacks are required for this to be effective. Activities required for database maintenance such as purging and data reorganization can have an unexpected adverse impact on the availability of mission critical applications. They can also negatively impact adjacent systems such as monitoring and other enabling technologies that rely on databases. jKool® jKool addresses the challenges in maintaining enterprise metrics in the following ways: ° NoSQL big data repository scales to the largest volumes and transaction rates ° Self-services access to data reduces personnel costs ° No charges for MIPS utilization ° English-like query language makes its to find the data you need jKool’s easy-to-use and highly configurable web dashboard makes analyzing your enterprise metrics data easy. Queries drive each of the Viewlets which are easily entered using the dynamic Query Builder.
  • 2. About jKool jKool, LLC, provides a SaaS, cloud-based solution for real-time visualization and analysis of streaming Big Data. Differentiating via ease-of-use, and scale, jKool delivers a solution that help the business, developers and data scientists visualize, analyze and understand their data in real-time. Join the community at jKoolCloud.com © 2015 jKool, LLC. jKool Performance Analysis jKool’s sophisticated charting includes multi-panel charts with candlesticks, as seen above. This chart shares an X axis (time) across three panels showing concurrently: elapsed time, average gains and losses, Store Metrics from AutoPilot jKool can be used to store IT monitoring metrics such as : ° Memory, CPU and disk utilization ° JMX metrics, queue depth ° Log file data and more Instead of writing this data to a database such DB2 on zOS, where MIPS and maintenance costs are high, stream the data to jKool. Users can then take advantage of web-based self-service reporting. This will reduce support calls, improve staff productivity and eliminate maintenance windows due to database availability and performance issues. Nastel uses jKool technology either in SaaS or on-premises format to store and manage enterprise metrics. AutoPilot and data from other monitoring systems can be streamed to its repository. How Nastel/jKool can help Nastel is an acknowledged industry-leader in monitoring and real-time analytics and has worked with the largest enterprise customers in the world to provide real-time monitoring dashboards displaying analytics using complex event processing and reporting. Analyze Performance Metrics jKool visualization of streaming analytics as a service detects actionable insights in Enterprise Metrics stored in its Big Data repository, uncovering opportunities such as preventable losses. There is no need to manage a server, database or schema. jKool provides a rich set of stream- ing operators including Bollinger Bands and Exponential Moving Averages to immediately identify outliers and anomalies hidden in your metrics. Respond to Trends Insight comes from JKool’s real-time, in-memory trend analysis . With today’s volume of data and rate of change the RDBMS approach is no longer viable –too slow and expensive. Trends are perishable, have a shelf-life and rapidly expire. jKool provides the instant awareness to enable your to rapidly respond to trends and stay ahead. Self-Service Using’ jKool’s flexible, easy-to-use dashboard and English query language the business user can create ad-hoc queries and immediately capture insights from their enterprise metrics data. Ease-of-use Talk to your data in English. jKool provides the business user with an English-like query language, jKQL (jKool Query Language) to interactively explore their data. There is a web-based, mobile-ready dashboard that is query driven and provides a variety of streaming operators to make analysis deep, fast and easy. Scalability jKool’s Lambda Architecture can handle the largest volume of complex, concurrent data streams in near real-time. The compute grid automatically parallelizes queries for the utmost in performance and elasticity.