jKool Blog

18 10, 2016

The roles of cloud computing and fog computing in the Internet of Things revolution

By |October 18th, 2016|cloud, Internet of Things, SaaS|0 Comments

The Internet of Things (IoT) is starting to transform how we live our lives, but all of the added convenience and increased efficiency comes at a cost.

The IoT is generating an unprecedented amount of data, which in turn puts a tremendous strain on the Internet infrastructure. As a result, companies are working to find ways to alleviate that pressure and solve the data problem.

Cloud computing will be a major part of that, especially by making all of the connected devices work together. But there are some significant differences between cloud computing and the Internet of Things that will play out in the coming years as we generate more and more data.

Below, we’ve outlined the differences between the cloud and the IoT, detailed the role of cloud computing in the IoT, and explained “fog computing,” the next evolution of cloud computing.

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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 11, 2015

Analyze and visualize your data with jKool on Bluemix

By |November 11th, 2015|Big Data Analytics, bluemix, Java, log analytics, Real-time Analytics, SaaS|0 Comments

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 […]

25 03, 2015

It’s not all about that bass…it’s all about the platform

By |March 25th, 2015|Big Data Analytics, SaaS|0 Comments

The cloud computing market is typically broken into three buckets: IaaS, SaaS and PaaS. Infrastructure as a Service (IaaS) represents on-demand compute and storage; Software as a Service (SaaS) vendors host applications in the cloud; and Platform as a Service (PaaS) is a cloud-based application development platform.

Thinkstock

Forrester wants us to blow up the talk […]

4 03, 2015

SaaS and the Reasons Why Cloud Spending Is Set To Explode This Year

By |March 4th, 2015|cloud, SaaS|0 Comments

The Gartner Worldwide IT Spending Forecast report predicts fiercer competition in 2015 between traditional on-premise software vendors, pushing expenditure up to $3.8 trillion. It says that spending in the enterprise technology market will reach $335 billion this year, increasing by 5.5 percent over 2014’s figures.

Cloud alternatives

Due to the large number of cloud providers locking […]

20 11, 2014

Unlock Big Data with Real-time Analytics

By |November 20th, 2014|Big Data, Java, Real-time Analytics, SaaS|0 Comments

jKool, providing real-time analytics as a service was announced at All Things Open.

During ATO, Albert Mavashev presented a session entitled, “Unlocking Big Data: Streaming Analytics as a Service”.  Albert covered how to meet the big data challenge.  He described it as a process where you capture, store, analyze, acquire insight and act.

Watch the video […]