The pursuit of data-driven decision making has put tracking, logging and monitoring at the forefront of the minds of product, sales and marketing teams. Engineers are generally familiar with gathering and tracking data to maintain and optimize infrastructure and application performance. However, with the power of data, other business groups are clamoring for the […]
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 […]
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, […]
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 […]
The industry-sponsored report compiled by market researcher Enterprise
Management Associates (EMA) noted that investments in operations analytics and the
management of application performance could be applied across multiple use cases. One reason …
Original Author: EnterpriseTek
Reducing MTTR is a hot topic among DevOps practitioners. MTTR measures average time for a cycle: problem occurrence, detection, response, and repair. Reducing the MTTR should greatly improve service quality right? Well, not exactly? The metric we should be looking at is this: what is the available time for repair (MATR — maximum available time […]
Yes, did I really say that?? Yes I did. Log Analytics is a process of investigating logs and hoping to derive actionable information that might be useful to the business. Many log analytics tools are used to gain visibility into web traffic, security, application behavior, etc. But how valuable and practical is log analytics […]
Applications can behave in unexpected ways and it’s often difficult to know whether this is appropriate behavior or if something is really wrong. Sound familiar? This is the same conundrum parents face… and often just as hard to solve.
But, for Java developers and members of DevOps, the ultimate advantage in this situation would […]
Machines have aided factory workers and supervisors with precise shop floor data management, making the process of monitoring manufacturing plants easier, more efficient, and eventually increasing productivity rates…
jKool comments: solutions providing real-time analysis of log data from IoT sources in addition to monitoring metrics and transactions can provide tremendous insight into the data in […]
If you missed the recent Live Q and A with jKool CTO Albert Mavashev, get caught up with this transcript of the event.
The post Live Q & A Transcript: Capture Real-Time Operational Intelligence from Big Data appeared first on Data Informed.
Albert Mavashev: Hi, my name is Albert Mavashev. I am here to answer your questions about jKool, a platform for analyzing machine data in real-time, time series data like logs, metrics, transactions….