as_dbserver_check checks database servers' states by trying to connect to them. If any server is down, alarm messages are emailed to your company Web administrator and to your ISP support team (if needed). When the server goes back online, you'll receive another email message about it. Multiple DB servers of multiple DB types are supported. If you have an SMS sending engine (callable from PHP), every DB server state notification can be duplicated to SMS.
Unattended installation of several Linux(kickstart,preseed,autoyast) and Windows(2000,XP,2003,2003R2,Vista,7,8,2008,2012). Features: inventory, software management, dhcp-ldap, dns-ldap, php-ssh, syslog-ng, rsyslog, switch managment, ldap browser, pxe manager, central cron management, license management.
NOC Project is an Operation Support System (OSS) for telecom companies, service providers, and enterprise Network Operation Centers (NOC). Areas covered by NOC include fault management, performance management, service activation/provisioning, knowledge base, multi-VRF address space management (IPAM), multi-vendor configuration management, DNS provisioning, peering management, RPSL and BGP filter generation, and reporting.
Moodss is a modular monitoring application, which supports operating systems (Linux, UNIX, Windows, etc.), databases (MySQL, Oracle, PostgreSQL, DB2, ODBC, etc.), networking (SNMP, Apache, etc.), and any device or process for which a module can be developed (in Tcl, Python, Perl, Java, and C). An intuitive GUI with full drag'n'drop support allows the construction of dashboards with graphs, pie charts, etc., while the thresholds functionality includes emails and user defined scripts. Monitored data can be archived in a SQL database by both the GUI and the companion daemon, so that complete history over time can be made available from Web pages or common spreadsheet software. It can even be used for future behavior prediction or capacity planning, from the included predictor tool, based on powerful statistical methods and artificial neural networks.
check_oracle_health is a plugin for the Shinken (Nagios) monitoring software that allows you to monitor various metrics of an Oracle database. It includes connection time, SGA data buffer hit ratio, SGA library cache hit ratio, SGA dictionary cache hit ratio, SGA shared pool free, PGA in memory sort ratio, tablespace usage, tablespace fragmentation, tablespace I/O balance, invalid objects, and many more.
The Java Application Monitor (JAMon) is a free, simple, high performance, thread safe, Java API that allows developers to easily monitor production applications. JAMon can be used to determine application performance bottlenecks, user/application interactions, and application scalability. JAMon gathers summary statistics such as hits, execution times (total, average, minimum, maximum, standard deviation), and simultaneous application requests. JAMon statistics are displayed in the sortable JAMon report.
Expresso Framework is an open standards-based J2EE architectural framework that allows the developer to concentrate on application logic. It is a library of extensible Java Server application framework components for creating database-driven Web applications based on open standards. Expresso integrates with Apache Jakarta Struts, which emphasizes presentation and application configuration, and bringing a powerful tag library to Expresso. Expresso adds capabilities for security, robust object-relational mapping, background job handling and scheduling, self-tests, logging integration, automated table manipulation, database connection pooling, email connectivity, event notification, error handling, caching, internationalization, XML automation, testing, registration objects, configuration management, workflow, automatic database maintenance, and a JSP tag library.
Stager is a system for aggregating and presenting network statistics. Though tailored for using NetFlow data from the flow-tools package, it is generic and can be customized to present and process any kind of network statistics. The backend collects data with flow-tools and stores reports in a database, automatically handling the aggregation of hourly statistics into days, weeks, and months. The Web frontend presents data in tables, matrices, or plots. The reports are fully customizable, and their definitions are stored in the database.