jKool Blog

28 03, 2017

The Black Hole in Digital Performance Management

By |March 28th, 2017|Middleware|0 Comments

For today’s enterprises, digital performance means far more than a snappy website and mobile apps. In reality, end-to-end performance is critical to keeping customers happy and, in turn, achieving the strategic goals of the business.

End-to-end digital performance presents a tricky challenge, as every link in the chain must operate properly. Finding weak links quickly […]

14 02, 2017

How You Can Improve Customer Experience With Fast Data Analytics

By |February 14th, 2017|Fast Data, Financial Services, Middleware, monitoring, Real-time Analytics, streaming analytics|0 Comments

In today’s constantly connected world, customers expect more than ever before from the companies they do business with. With the emergence of big data, businesses have been able to better meet and exceed customer expectations thanks to analytics and data science. However, the role of data in your business’ success doesn’t end with big data – now you can take your data mining and analytics to the next level to improve customer service and your business’ overall customer experience faster than you ever thought possible.
Fast data is basically the next step for analysis and application of large data sets (big data). With fast data, big data analytics can be applied to smaller data sets in real time to solve a number of problems for businesses across multiple industries. The goal of fast data analytics services is to mine raw data in real time and provide actionable information that businesses can use to improve their customer experience.
“Fast data analytics allows you to
turn raw data into actionable insights instantly”
Connect with Albert Mavashev
Co-author, CTO & Evangelist at jKool

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15 06, 2016

Where’s the Heat? Talking DevOps, Use Cases and More

By |June 15th, 2016|Big Data Analytics, devops, Middleware|0 Comments

Transitioning your organization from a traditional IT infrastructure into the world of DevOps is certainly a journey. Sometimes a long one, with many obstacles, but undoubtedly a voyage with a worthwhile prize at the end. Many organizations just embarking on their DevOps journey find themselves wondering, what use cases should they attack first? And […]

8 06, 2016

Big Data analytics and operational strategy

By |June 8th, 2016|Big Data Analytics, Middleware|0 Comments

The future belongs to companies that can out operate their competition. This focus on operations requires understanding the impact of the business processes, response of the customers, the changing needs of the customer base and evolving products and services to meet this demand. As the speed of innovation increases and the time to react […]

7 06, 2016

10 Best Practices for Managing Modern Data in Motion

By |June 7th, 2016|Big Data Analytics, Middleware|0 Comments

Before big data and fast data, the challenge of data in motion was simple: move fields from fairly static databases to an appropriate home in a data warehouse, or move data between databases and apps in a standardized fashion. The process resembled a factory assembly line. In today’s world, consuming applications and routes and […]

20 05, 2016

How I Will Use Big Data in My Presidential Campaign

By |May 20th, 2016|Big Data Analytics, Middleware|0 Comments

The growing importance of big data in presidential elections is no secret, as it jumped into the spotlight in 2008, when then-Senator Barack Obama invested significant resources into analyzing big data, which helped propel him to the White House.

At the same time, Nate Silver used big data to project Obama’s presidential victory with astounding […]

26 01, 2016

End-User Analytics: A Reality Check to SLAs

By |January 26th, 2016|Big Data Analytics, end-user analytics, Middleware|0 Comments

Everyone understands that a great user experience is vital for customers, but few organizations give the same level of consideration to their own employees. This lack of insight into the internal end-user experience leads to frustration, inefficiency and waste. Detailed analysis can lift the curtain, exposing the gap between your service level agreements (SLAs) […]

20 01, 2016

3 Ways to Develop the Perfect DevOps Culture

By |January 20th, 2016|Big Data Analytics, devops, Middleware|0 Comments

DevOps is not a new concept, but it is still maturing. In the seven years since the first “DevOps Day” took place in Europe, DevOps’ influence has spread to every corner of the world. Many organizations have embraced the concept, and it’s changed the way business is done. These companies have benefited from removing […]

15 01, 2016

Only DevOps and Taxes

By |January 15th, 2016|Big Data Analytics, devops, Middleware|0 Comments

As software eats the world, it’s hard to have a conversation about anything that isn’t directly related to or driven by modern mobile, web and IoT applications. DevOps describes the modern approach to building these applications. But like all new movements, there is a cost. And while some of the costs associated with modern […]

15 01, 2016

Nastel and jKool Sponsor DEVOPSdigest

By |January 15th, 2016|Big Data Analytics, devops, Middleware|0 Comments

DEVOPSdigest welcomes Nastel and jKool application analytics as a new Silver Sponsor.

Nastel Technologies provides middleware-centric, application performance management with real-time analytics and self-service. Nastel AutoPilot monitors application performance across applications, platforms and tiers presenting its analysis on a single-pane-of-glass. Nastel customers include: Citi, DTCC, BCBS, Dell and Best Buy. With AutoPilot, you can detect […]