jKool Blog

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 […]

17 06, 2015

Streaming Data Processing 10+ Platforms

By |June 17th, 2015|Big Data Analytics, storm|0 Comments

Nastel Comments: It is interesting how this article extols the virtues of STORM while others in the industry, notably Twitter are dumping it in favor of Heron…

Streaming data processing and analytics is gaining momentum as businesses gear up for real-time processing of streaming data – typically from devices and sensors, but also other sources […]

15 06, 2015

Twitter Heron: Stream Processing at Scale

By |June 15th, 2015|Big Data Analytics, storm|0 Comments

Nastel Comments: All is not well in the world of Apache Storm…Twitter has turned Storm off and is now using Heron for streaming…

Twitter Heron: Stream Processing at Scale – Kulkarni et al. 2015 It’s hard to imagine something more damaging to Apache Storm than this. Having read it through, I’m left with the impression […]