jKool Blog

13 12, 2016

$1.9 trillion dollars of economic value could be created by the use of IoT devices and asset tracking solutions

By |December 13th, 2016|Internet of Things, Real-time Analytics, transaction tracking|0 Comments

Using sensors, tags, and other IoT devices to track goods through the global supply chain is one of the fundamental use cases for the Internet of Things, and also one of the most impactful.

The enormous potential value created by these asset tracking technologies is due to the incredibly broad array of benefits that companies […]

23 02, 2016

5 ways to spice up DevOps with jKool

By |February 23rd, 2016|blog, devops, Java, log analytics, operational analytics, operational intelligence, performance monitoring, SaaS, streaming analytics, transaction tracking|0 Comments

Eliminate finger pointing, reduce blame

jKool allows application owners to track and audit transactions; from browser all the way to application servers and middleware. Ability to track transactions is critical if you want to know if your app is slow; and where and why it is slow. How often is the blame placed on you or your team […]

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 […]

21 12, 2015

Getting Operational Intelligence from Logs, Metrics, and Transactions

By |December 21st, 2015|Big Data Analytics, operational intelligence, transaction tracking|0 Comments

jKool, a SaaS solution for real-time analytics, forensics and transaction tracking provides instant insight from fast data, making it easy to detect the hidden patterns and anomalies that offer opportunities for business value.

For Java developers, IT ops professionals and members of the DevOps group, the ultimate advantage would be to know everything as it happens in their business— and everything that could happen. To know all and see all with complete vision is the competitive ideal: operations managers detecting performance problems before delays arise, the company discovering trends the moment they form. If there is a function in modern technology that offers anything close to this ideal of omniscience, it’s analyzing and visualizing machine data in real time.

Such awareness is so difficult to attain, and it is often impossible for companies to know in advance what events need to be analyzed and when analysis must happen. IT must store everything and analyze everything or risk missing the most important evidence of operational lags, risks or rising customer trends. For security compliance reasons alone, enterprises are required to maintain good logs, store logs for one year, secure these logs—and review them daily. […]