What are some of the most interesting tools to help you go Reactive?
This week, we'll briefly cover a few benefits of load testing in the cloud, but also want to unearth what you should consider doing (or not doing) in your future cloud testing projects.
The hightlights of this release are: Many improvements to the command-line tool, solidDB support, improved JavaBean-style configuration
How to map and handle static resources with Spring MVC - use the simple configuration, then the 3.1 more flexible one and finally the new 4.1 resource
Codenvy uses Docker to create any build environments with any language.
Log data provides the most granular view into what is happening across your systems, applications, and end users. Logs can show you where the issues are in real-time, and provide a historical trending view over time. Logs give you the whole picture.
MongoDB has announced the release of MongoDB 3.0 and MongoDB Ops Manager. They say that MongoDB is now much lighter in operational load, has 7-10x better write performance, as well as much less disk consumption.
Where were you on February 3, 2015 at 3:40 p.m. PST? Snowed in? Desperately trying to refresh Netflix? If so, you weren’t alone. It turns out even best and biggest companies experience failure from time to time.
Is your implementation efficiently using multi-threading? Or are your threads just waiting for exclusive resources and basically executing tasks in parallel anyway. In this blog I highlight two use cases of multi-threading that doesn’t fully leverage the potential of having multiple threads available
A quick update on the Java EE front this morning, after David Delabasse confirmed in an Aquarium blog post this morning that the Expert Group (EG) for JSR 375 – the Java EE Security API, geared at overhauling and modernising EE security API portability and simplicity – has now been established. Among other things, the EG will need to consider how best to leverage Java EE orthogonal technologies...
Manager. Controller. Helper. Handler. Writer. Reader. Converter. Validator. Router. Dispatcher. Observer. Listener. Sorter. Encoder. Decoder. This is the class names hall of shame.
How do Async ForkJoinPool, managedBlock and Quasar perform in an IO scenario?
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- Hortonworks optimizes Apache Hadoop performance (27 Aug 2015) Hortonworks has recently introduced new products to help enhance Apache Hadoop performance.
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- The latest trends in the Hadoop project (25 Aug 2015) In this podcast, Tim Hall of Hortonworks discusses the Apache Hadoop project and how it has changed...
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- Red Hat engineer talks system optimization, containers (24 Jun 2015) In this podcast, a principal software engineer at Red Hat talks about important industry trends,...
- Red Hat announces support for the Open Container Project (23 Jun 2015) Red Hat joins other vendors to support the Open Container Project, not a surprise.
- Red Hat preview: App performance with container-based systems (23 Jun 2015) As the 2015 Red Hat Summit takes place, attendees are dealing with the fact that container-based...