Added Support for Multi-tenancy, Email API and Tag, Improvements for the support of secure HTTPs, Monitoring API and Service, Dialogic XMS Integration
First article in a series looking at effective ways of controlling concurrent code execution using techniques such as quality of service (QoS), adaptive control valves, circuit breakers and back-pressure as promoted by proponents of reactive programming.
What did we learn about the future of the Java platform at JavaOne 2015? Well, there were a number of things, all of which are summed up here. Okay, maybe it's not all of them, but it is a good chunk of them. Let us know if there's anything we missed.
Benchmarking Java with the OpenJDK code tools: The Java Microbenchmarking Harness
Defining and Editing log4j Patterns in SysLog for more Refined Data Parsing
Chatbot is a perfect alternative to a traditional user interface when dealing with a microservice and professional users.
Communication, collaboration and integration are the three main principles of the ever-growing, modern approach to software delivery known as “DevOps.”
The diversity of streaming media formats and performance metrics may leave QA teams wondering how to accurately test and measure the quality of the end user experience. Today, I’ll discuss some of the main differences between progressive downloads and adaptive bitrate streaming in terms of load and performance testing and explore the ways in which your organization can realistically test and...
Planning your load test doesn’t have to take tons of time if you approach it the right way and if you set yourself up for success from the start. Follow this advice and all will end well.
Checked InterruptedException in Java is a constant source of pain for many of us; here is my understanding of how it should be handled.
Discusses an often over looked blindspot in the performance analysis of event stream based systems such as trading and gaming.
Today more than ever, speed plays a larger role in the software development lifecycle. We see R&D teams who want to push code faster to production environments with rising complexity, and this amplifies a vulnerability that must be addressed
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