Ever wondered, how to integrate logstash and Tomcat 7 the easy way? Here we go!
Logstash is one of the hottest tools when it comes to log management. There are lots of integration possibilities in standalone or web applications. But what if you want to capture the whole log output of your JBoss server? Take a look at the snippets.
visualizr - Show your data Once in a while I get in touch with lots of time based data, such as monitoring or profiling values.
Calls per minute, actions per time unit and so on. Having such data is a great value but having it visualized gives a different impression instead looking at numbers. I’ve created visualizr. It’s a small Single-Page-Application with a Java-based backend. Visualizr provides support for multiple data sources (a data source can contain multiple charts), auto-reloading and a great user experience.
Give it a try, you can find the code at https://github.com/mp911de/visualizr or as a maven artifact (SNAPSHOT-version until now)
<dependency> <groupId>biz.paluch.visualizr</groupId> <artifactId>visualizr</artifactId> <version>1.0-SNAPSHOT</version> </dependency>
Sonatype OSS Snapshot Repository: https://oss.sonatype.org/content/repositories/snapshots
Developing applications can be a fun. Developing applications can be also a big pain.
It depends on a lot of factors. Let's focus today on maintainability/extensibility and a framework concept called Microservice Bus.
It happens currently all the time. I’m always coming back to projects I worked on. Over and over I’m meeting old coworkers and colleagues. Same faces, sometimes a bit older than I left them. This raises mixed feelings. It’s sort of coming home, thus it is different.
Traditional applications progress sequentially. This was ok for a certain time, multi-threading, concurrency and parallelism are hard to code right. With growing requirements to performance, large scale data and user base, application have to progress concurrently and even parallelize tasks. Using Akka for event distribution and processing enables applications to work on different tasks in parallel in a very simple and configurative way.
Operating a Hadoop cluster means lots of daemons running on lots of machines. When it comes to the logs, and you're searching for something, it can get nasty, since you do not know, where to search.