Links

API-Status: Uptime status of many public web APIs

http://api-status.com/

Click here to download:

API-Status_Uptime_status_of_ma.zip (112 KB)

Filed under // monitoring status web

Posted August 20, 2010 by email

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javamelody: monitoring of JavaEE applications

http://code.google.com/p/javamelody/

The goal of JavaMelody is to monitor Java or Java EE applications servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users.

JavaMelody is opensource (LGPL) and production ready: in production in an application of 25 person years. JavaMelody is easy to integrate in most applications and is lightweight (no profiling and no database).

JavaMelody is mainly based on statistics of requests and on evolution charts.

It allows to improve applications in QA and production and help to:

* give facts about the average response times and number of executions
* make decisions when trends are bad, before problems become too
serious
* optimize based on the more limiting response times
* find the root causes of response times
* verify the real improvement after optimizations

It includes summary charts showing the evolution over time of the following indicators:

* Number of executions, mean execution times and percentage of
errors of http requests, sql requests or methods of business
façades (if EJB3 or if Spring)
* Java memory
* Java CPU
* Number of user sessions
* Number of jdbc connections

These charts can be viewed on the current day, week, month or year.

JavaMelody includes statistics of predefined counters (as of today http requests, sql requests and methods of business façades if EJB3 or if Spring) with, for each counter :

* A summary indicating the overall number of executions, the average
execution time, the cpu time and the percentage of errors.
* And the percentage of time spent in the requests for which the
average time exceeds a configurable threshold.
* And the complete list of requests, aggregated without dynamic
parameters with, for each, the number of executions, the mean
execution time, the mean cpu time, the percentage of errors and an
evolution chart of execution time over time.
* Furthermore, each http request indicates the size of the flow
response, the mean number of sql executions and the mean sql time.

It also includes statistics on http errors, on warnings and errors in logs and on data caches if ehcache.

An optional and independent collect server may be used if necessary to unload the application of storage management, and of reports generation and to centralize the data of clustered applications or of several applications.

Filed under // java monitoring

Posted November 19, 2009 by jetztgradnet

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Grails in the enterprise: Using Grails with JMX, Spring, and log4j

In this installment of Mastering Grails, series author Scott Davis puts to rest any qualms about Grails' readiness for the enterprise. You'll see how to use Grails with enterprise-caliber libraries including the Java(tm) Management Extensions (JMX), Spring, and log4j.

http://www.ibm.com/developerworks/web/library/j-grails12168/index.html?ca=dgr-twtrGrails-JMXdth-WD&S_TACT=105AGY83&S_CMP=TWDW

Filed under // grails jmx log4j monitoring

Posted October 16, 2009 by email

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Eclipse-JMX

clipse-jmx is a plugin-in for Eclipse IDE which can be used to manage Java applications through JMX and its RMI Connector.

http://code.google.com/p/eclipse-jmx/

Filed under // eclipse jmx monitoring

Posted September 23, 2009 by email

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Reconnoiter

Reconnoiter's goal is to better the world of monitoring by marrying fault detection and trending together. Through ease of configuration and ongoing maintenance, Reconnoiter encourages monitoring important technical metrics along side critical business metrics to improve awareness and ultimately accountability.

https://labs.omniti.com/trac/reconnoiter

http://highscalability.com/reconnoiter-large-scale-trending-and-fault-detection