#spring

The JavaChannel Podcast, Episode XVII (17)

The XVIIth podcast is live! … one wonders why the Roman Empire didn’t last much longer, doesn’t one. One also wonders how long one can refer to oneself in the whatever-person this is. (It’s… second-person? No, folks, it’s “third person.” English grammer fumbling and lesson over.) In this podcast, we chase a few things: the discussion topic centers back around on Python vs. Java, and why one might encounter one...

3 minute(s) read

Interesting Links podcast, episode 2

Welcome to the second ##java podcast. We have lots of interesting things to cover, so let’s dive in. Java EE development has moved to the Eclipse Foundation, under the project name “Eclipse Enterprise for Java“, or “EE4J.” Java EE is still the branding for enterprise Java. This move makes Java EE more open; we’ll have to see how well it works under the Eclipse Foundation. We’ll survive either way; it’s a...

5 minute(s) read

Interesting Links – 15 Nov 2016

Big news: JRebel 7 has been released, with a new agent enabling you to change class hierarchy and interface implementations on the fly. For Spring it now also supports reconfiguring dependency injection in non-singleton scoped beans. From Light Java, “JEE is dead.” Misses a lot of history – blames Java EE for WebLogic’s speed and deployment model (what about containers like Orion, which could deploy the same apps in a few seconds, and didn...

2 minute(s) read

Interesting Links – 5 Oct 2016

In Accounts is Everything Meteor Does Right, Pete Corey points out that Meteor‘s Accounts package dictates how user authentication and authorization will work, period, and that this removal of choice actually makes it entirely usable. Having wrestled with Shiro and Crowd and Spring Security and JAAS, it’s a point that’s hard to argue with – and while users of Shiro, etc., will probably say that those packages work as well as Accounts does...

2 minute(s) read

Interesting Links, 14 April 2016

Natty is a natural language date parser written in Java. The idea is that you feed it corpora like "1984/04/02", "february twenty-eighth", or "3 days from now", and get back a list of potential matching Date objects. It is not designed to pull dates out of natural language – for that you’d want something like OpenNLP – but it might be able to help convert the natural language dates you get from OpenNLP...

3 minute(s) read