There has been a lot of talk how performance fits into the DevOps philosophy. One interesting aspect is that many believe that Monitoring performance is all that needs to be done. This cannot be further from the truth. The problem is that to do performance properly in a DevOps setting you have to transition away from monitoring the performance of an application and start managing it – not just in...
In this RebelLabs report, we encourage you to embrace DevOps in order to build a fully-automated Continuous Delivery pipeline in your organization using award-winning and recognized tools in the industry, like: GitHub, Artifactory, Bamboo, Arquillian, Selenium and LiveRebel.
The NetBeans team needs your feedback about your experiences using NetBeans IDE 7.3 or its update release, NetBeans IDE 7.3.1!
The latest release of Data pipeline is now available for download. It includes streaming XPath for JSON, Multi-threaded JDBC writing, expression language updates, and more.
If transaction times jump from less than one second to more than 60 seconds after a software upgrade, it is evident that there is a problem that needs investigation. But where do you continue looking if there is no clear evidence? What if the SQL Log files don't show any long running statements - do you rule out the database? In this blog we show yet another case of data-driven performance...
It is widely accepted that the concept of enterprise mobility presents countless opportunities to the business world.
A key point for a successful continuous delivery is to make the production matrix available to the developers
JvCache is an extremely fast and scalable in-memory data grid and distributed cache for mission critical Java applications with real-time data access needs.
Are you using Maven and Git? Tired of the monstrosity called the Release Plugin to produce releases? This article introduces a radically simpler alternative that is both faster and more effective.
Programs, like people, get old. We can’t prevent aging, but we can understand its causes, take steps to limit its effects, temporarily reverse some of the damage it has caused, and prepare for the day when the software is no longer viable. We must lose our preoccupation with the first release and focus on the long term health of our products
As you may already know, SPDY (pronounced “SPeeDY”) is a new networking protocol introduced by Google and designed to reduce the web latency associated with HTTP. With SPDY, web pages load up to 64 percent faster than HTTP alone, according to Google. With all the advantages of SPDY, you may be wondering if there is a price to pay on the server side. Check this post out where we put SPDY to the...
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- The Scala debate demystified: Balancing the rants with the raves (01 Mar 2014) It's been over ten years since Scala appeared on the enterprise computing landscape. Some...
- NoSpinningDiscs: Why your NoSQL solution thirsts for SSDs (02 Mar 2014) Organizations are always looking for opportunities to tune their architecture. To achieve massive...
- Top four reasons why you should use Scala on your next project (01 Mar 2014) Is it time for your organizations to unshackle itself from its legacy of Java development, and...
- Continuous Development: The glue holding DevOps, TDD and Agile methods together (05 Feb 2014) Continuous integration(CI) and continuous development (CD) have become central components in the...
- The three most common NoSQL mistakes you don't want to be making (02 Mar 2014) More and more organizations are using NoSQL to solve various data persistence problems. But...
- Better software testing and improved quality starts with the culture (03 Jan 2014) Software testing is more than just a stage in the development process. Testing is a philosophy that...
- Can Java and JSF on the server-side make mobile on the front end easier? (05 Jan 2014) While many software developers are learning new programming languages to deliver native mobile...
- Scala? Groovy? Why Java is the right programming language for 2014 and beyond (01 Jan 2014) New programming languages offer a variety of benefits, from the way they handle big data, to the...
- YARN and MapReduce 2.0 elevates big data Hadoop and scheduled processing (03 Jan 2014) YARN represents the biggest architectural change in Hadoop since it's inception over seven years...
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