jKool Blog

21 04, 2016

Machine Learning Converts Big Data from Cost Center to Profit Center

By |April 21st, 2016|Apps, Big Data, Big Data Analytics, blog, Data Science, machine learning, prediction|0 Comments

Data is growing at unprecedented rates; from social media, to digital pictures to machine data.  Machine learning takes the data and constructs it to adapt to the needs of organizations to unlock the revenue and value from data. The power of machine learning applications are able to help executives make better informed business decisions and to […]

12 02, 2016

10 tips for chief analytics officers – ZDNet

By |February 12th, 2016|Apps, Big Data Analytics, Real-time Analytics, streaming analytics, time-series data|0 Comments

Real-time and streaming analytics are getting lots of attention, but keep the real decision time in mind, advised Bill Franks, CAO at Teradata. The IRS, for example, doesn’t worry about real-time because it has weeks to detect fraud before it cuts …

So if a customer’s Web query is followed by a phone call and, […]

11 02, 2016

What does APM have to do with Fast Data?

By |February 11th, 2016|Apps, Big Data, Big Data Analytics, Fast Data, Java, log analytics, operational analytics, operational intelligence, performance monitoring, Real-time Analytics, streaming analytics, transaction tracking|0 Comments

Fast Data is about processing high velocity data in real-time as it happens. Think of Fast Data as Big Data in real-time.

So what does APM have to do with Fast Data?


APM is all about processing lots and lots of data as close as possible to real-time.
Tracking transactions, analyzing logs, sampling metrics, figuring out relationships, […]

10 02, 2016

Application Performance in 4 simple steps with jKool

By |February 10th, 2016|Apps, Big Data, Big Data Analytics, performance monitoring, Real-time Analytics, streaming analytics, transaction tracking|0 Comments

Real-time updates on application KPIs
I use “subscribe to events where … output every X seconds” to get a digest of all data streams X number of seconds. Pretty cool feature, especially for those looking for real-time updates on what is happening within your application as it runs.

Queries paired with views
Type in a query and […]

9 02, 2016

10 Reasons Your Application is Slow

By |February 9th, 2016|Apps, devops, end-user analytics, Java, log analytics, Real-time Analytics, Spark, storm, transaction tracking|0 Comments

1) Too much contention
You claim to have multi-threaded applications. Multi-threaded model does not mean faster. Your apps will not get the boost from multi-threaded model and multiple CPU/cores if you have too much contention, blocking and waiting. Review your threading model and weed out contention. Excessive contention will reduce your app performance as load […]

9 02, 2016

Perfomance Testing is a Team Sport

By |February 9th, 2016|Apps, automation, blog, Business, devops|0 Comments

JKool firmly agrees with this article on how Performance Testing is a Team Sport. Yes, there will always be the front liners-The team of people that put it all together. However, what about the people on the “side lines”? Those people can also make a forceful impact on Performance Testing.

Read the full article on […]