Performance Co-Pilot (PCP) is a framework and set of services for supporting system-level performance monitoring and performance management. It provides a unifying abstraction for all of the interesting performance data in a system, and allows client applications to easily retrieve and process any subset of that data using a single API. A client-server architecture allows multiple clients to monitor the same host, and a single client to monitor multiple hosts. Archive logging and replay are integrated so that a client application can use the same API to process real-time data from a host or historical data from an archive.
Splunk is an engine for machine data. Use Splunk to collect, index, and harness the fast moving machine data generated by all your applications, servers, and devices: physical, virtual, and in the cloud. Search and analyze all your real-time and historical data from one place. Splunking your machine data lets you troubleshoot problems and investigate security incidents in minutes, not hours or days. Monitor your end-to-end infrastructure to avoid service degradation or outages. Meet compliance mandates at lower cost. Correlate and analyze complex events spanning multiple systems. Gain new levels of operational visibility and intelligence for IT and the business.
VisIt is an interactive parallel visualization and graphical analysis tool for viewing scientific data. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. It can be used to visualize scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured and unstructured meshes. It was designed to interactively handle very large data set sizes in the terascale range, and works well down to small data sets in the kilobyte range.
Bcfg2 helps system administrators produce a consistent, reproducible, and verifiable description of their environment, and offers visualization and reporting tools to aid in day-to-day administrative tasks. It is based on an operational model in which the specification can be used to validate and optionally change the state of clients, but in a feature unique to bcfg2 the client's response to the specification can also be used to assess the completeness of the specification. Using this feature, bcfg2 provides an objective measure of how good a job an administrator has done in specifying the configuration of client systems. Bcfg2 is therefore built to help administrators construct an accurate, comprehensive specification. Bcfg2 has been designed from the ground up to support gentle reconciliation between the specification and current client states. It is designed to gracefully cope with manual system modifications. Bcfg2 can also enable the construction of complex change management and deployment strategies.
Berkeley DB (libdb) is a programmatic toolkit that provides embedded database support for both traditional and client/server applications. It includes b+tree, queue, extended linear hashing, fixed, and variable-length record access methods, transactions, locking, logging, shared memory caching, database recovery, and replication for highly available systems. DB supports C, C++, C#, Java, PHP, and Perl APIs. It supports key-value pair (NoSQL), SQL, and Java Object formatted data. It is available for a wide variety of Unix platforms as well as QNX, Android, Mac OS X, and several varieties of Windows.
nnmon is a central database and a Web interface for the nmon program's data. It allows you to store and view nmon data instantly. nnmon_sender.pl is a pure Perl script. It runs the external nmon program and opens its output file for reading. Every line read from the file is sent to the nnmon_server.py program via TCP/IP socket. nnmon_server.py reads incoming data, parses it, and inserts the result to the database. nnmonweb is a PHP script that lets you view monitored systems in a tree. If there is data for a system for the last 12 hours, it will show a chart on the right hand side. The database and server components have been tested on RHEL 5.5. The client parts have also been tested on AIX 6.1 and RHEL 5.5.
PyMQI is a Python library for working with WebSphere MQ (formerly known as MQSeries) implementing MQI and PCF protocols. It allows one to connect to queues, put, browse, get messages, and to programmatically administer MQ objects. PyMQI has been used in production environments for several years and is known to work on Linux, Windows, Solaris, AIX, and HP-UX with queue managers running on Linux, Windows, Solarix, AIX, HP-UX, and z/OS mainframe.