6 projects tagged "Apache 2.0"
Jolokia is a fresh way of accessing JMX MBeans remotely. It is different from JSR-160 connectors, as it is an agent based approach that uses JSON over HTTP for its communication. It provides new features for JMX remoting: bulk requests allow for multiple JMX operations with a single remote server roundtrip, there is a fine-grained security mechanism for restricting JMX access on specific JMX operations, JSR-160 proxy mode, and history tracking, to name a few. Jolokia's origins are in jmx4perl. Client bindings in addition to Perl have already been added, and more are planned.
jmxtrans is effectively the missing connector between JMX and whatever logging or graphing package that you can dream up. jmxtrans is very powerful tool that reads JSON configuration files specifying servers/ports and JMX domains/attributes and then outputs the data in whatever format you want via special "Writer" objects that you can code up yourself. It does this with a very efficient engine design that will scale to querying literally thousands of machines. The core engine is pretty solid and writers are included for cacti/rrdtool, graphite, and stdout.
jminix is a simple embeddable restful JMX console. It is useful for when you don't want to use an external full-blown JMX console, but just want to have a simple JMX entry point into your new or existing apps. Embedding JMiniX in a Web app is done simply by declaring a servlet. Deployed as a servlet, it benefits from your Web application configuration such as filters or security constraints.
jmx4py offers a client API for Python similar to the existing Jolokia clients for Perl (jmx4perl), Java, and Javascript. Jolokia is a JMX-HTTP bridge giving an alternative to JSR-160 connectors. It is an agent-based approach with support for many platforms. In addition to basic JMX operations, it enhances JMX remoting with unique features like bulk requests or fine grained security policies. jmx4py builds upon the basic API and offers further features related to monitoring and controlling JVMs via JMX using Python.
allmon is a generic system for collecting and storing various runtime metrics collections used for system performance, health, quality, and availability monitoring purposes. The system also provides a set of data-mining algorithms useful for further performance analysis. Allmon is designed to harvest different metrics values coming from many areas of monitoring infrastructure. The collected data are based on quantitative and qualitative performance and availability analysis. Allmon collaborates with other analytical tools for OLAP multidimensional analysis and data mining processing. The tool can be used for production as well as for development (profiling) and QA (load testing) purposes.