Skip to main content

Using ws-jmx-connector for cross platform agent to interoperate with JMX Agent

Now a connecter named ws-jmx-connector has realesed to use for calling JMX agent. This connector uses soap call to connect with JMX agent.
See the project link for more information.
I have download the realease and install. Tried samples delivered with artifact and wondered. it's simple implements of JSR 262.

If you have all ready wiseman worked - this connector will help you to make your development easy.
I have used jax-ws library delivered with wiseman and wise library to compile and run the samples.

Some additional information will be very usefull to run samples under 64bit version of java. I tried java 1.5_014 64 bit version on fedora and got following class not found exception:
java.lang.NoClassDefFoundError: com/sun/xml/ws/developer/MemberSubmissionAddressing$Validation
Download and install JAX-WS RI 2.1.5 which contains the right library jaxws-rt.jar to run all the samples under 64 bit version of JVM.

In the holyday i will make a try to use this connector in our projects.


See also following links:
http://marxsoftware.blogspot.com/2008/05/first-look-at-jmx-web-services.html
http://marxsoftware.blogspot.com/2008/06/second-look-at-jmx-web-services.html
Labels:

Comments

Post a Comment

Popular posts from this blog

Tip: SQL client for Apache Ignite cache

A new SQL client configuration described in  The Apache Ignite book . If it got you interested, check out the rest of the book for more helpful information. Apache Ignite provides SQL queries execution on the caches, SQL syntax is an ANSI-99 compliant. Therefore, you can execute SQL queries against any caches from any SQL client which supports JDBC thin client. This section is for those, who feels comfortable with SQL rather than execute a bunch of code to retrieve data from the cache. Apache Ignite out of the box shipped with JDBC driver that allows you to connect to Ignite caches and retrieve distributed data from the cache using standard SQL queries. Rest of the section of this chapter will describe how to connect SQL IDE (Integrated Development Environment) to Ignite cache and executes some SQL queries to play with the data. SQL IDE or SQL editor can simplify the development process and allow you to get productive much quicker. Most database vendors have their own fron...
Post a Comment
Read more

8 things every developer should know about the Apache Ignite caching

Any technology, no matter how advanced it is, will not be able to solve your problems if you implement it improperly. Caching, precisely when it comes to the use of a distributed caching, can only accelerate your application with the proper use and configurations of it. From this point of view, Apache Ignite is no different, and there are a few steps to consider before using it in the production environment. In this article, we describe various technics that can help you to plan and adequately use of Apache Ignite as cutting-edge caching technology. Do proper capacity planning before using Ignite cluster. Do paperwork for understanding the size of the cache, number of CPUs or how many JVMs will be required. Let’s assume that you are using Hibernate as an ORM in 10 application servers and wish to use Ignite as an L2 cache. Calculate the total memory usages and the number of Ignite nodes you have to need for maintaining your SLA. An incorrect number of the Ignite nodes can become a b...
Post a Comment
Read more

Load balancing and fail over with scheduler

Every programmer at least develop one Scheduler or Job in their life time of programming. Nowadays writing or developing scheduler to get you job done is very simple, but when you are thinking about high availability or load balancing your scheduler or job it getting some tricky. Even more when you have a few instance of your scheduler but only one can be run at a time also need some tricks to done. A long time ago i used some data base table lock to achieved such a functionality as leader election. Around 2010 when Zookeeper comes into play, i always preferred to use Zookeeper to bring high availability and scalability. For using Zookeeper you have to need Zookeeper cluster with minimum 3 nodes and maintain the cluster. Our new customer denied to use such a open source product in their environment and i was definitely need to find something alternative. Definitely Quartz was the next choose. Quartz makes developing scheduler easy and simple. Quartz clustering feature brings the HA and...
Post a Comment
Read more