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bastion-monit-snmpd-1.4.0-1.lbn13.noarch: SNMP daemon start/stop/control

bastion-monit-rabbitmq-1.4.0-1.lbn13.noarch: rabbitmq start/stop/control

bastion-monit-mysqld-1.4.0-1.lbn13.noarch: MySQL server daemon start/stop/control

bastion-monit-memcached-1.4.0-1.lbn13.noarch: Memcached server daemon start/stop/control

bastion-monit-iperf-3.0-2.lbn13.x86_64: Iperf daemon start/stop/control

bastion-monit-1.4.0-1.lbn13.noarch: BastionLinux monit services configuration and control scripts.

apache-commons-logging-1.1.1-16.lbn13.noarch: The commons-logging package provides a simple, component oriented interface (org.apache.commons.logging.Log) together with wrappers for logging systems. The user can choose at runtime which system they want to use. In addition, a small number of basic implementations are provided to allow users to use the package standalone. commons-logging was heavily influenced by Avalon's Logkit and Log4J. The commons-logging abstraction is meant to minimize the differences between the two, and to allow a developer to not tie himself to a particular logging implementation.

apache-commons-io-2.0.1-3.lbn13.noarch: Commons-IO contains utility classes, stream implementations, file filters, and endian classes. It is a library of utilities to assist with developing IO functionality.

apache-commons-codec-1.4-12.lbn13.noarch: Commons Codec is an attempt to provide definitive implementations of commonly used encoders and decoders. Examples include Base64, Hex, Phonetic and URLs.

apache-commons-cli-1.2-4.lbn13.noarch: The CLI library provides a simple and easy to use API for working with the command line arguments and options.

ZenPacks.zenoss.Zentrospect-4.2.5_1.2.0-1.lbn13.noarch: Features The features added by this ZenPack can be summarized as follows. They are detailed further below. Discovery of Zenoss systems, processes and metrics thereof. Monitoring of process metric values. Monitoring of process metric freshness. Discovery The following entities will be automatically discovered from server devices that are running Zenoss, have the zenoss.snmp.ZenossSNMP modeler plugin assigned, and have the zenoss-snmp-module extension to Net-SNMP installed and configured properly. Zenoss Systems Attributes: Name Collections: Zenoss Processes, Zenoss Metrics Zenoss Processes Attributes: Name, System Collections: Zenoss Metrics Zenoss Metrics Attributes: Name, System, Process Monitoring The following metrics will be collected every 5 minutes by default. Metrics Metrics: zenProcessMetricValue, zenProcessMetricCyclesSinceUpdate zenProcessMetricValue is the most recent value recorded for the metric. It will be NaN in cases where a value hasn't been recorded recently. zenProcessMetricCyclesSinceUpdate is how many "cycle intervals" it has been since the value was successfully recorded. This measure is used because some metrics are updated on different cycle intervals. For example, if the localhost-zenperfsnmp-devices metric is updated every 300 seconds and was last updated 30 seconds ago, the zenProcessMetricCyclesSinceUpdate value will be 0.1. By default a maximum threshold of 2 is set for zenProcessMetricCyclesSinceUpdate on all discovered metrics. This can be used to identify Zenoss processes that are not functioning properly. Service Impact When combined with the Zenoss Service Dynamics product, this ZenPack adds service impact capability for the entities it discovers. The following service impact relationships are automatically added. These will be included in any services that contain one or more of the explicitly mentioned entities. Service Impact Relationships A Device failure impacts all associated Zenoss Systems. A Zenoss System failure impacts all associated Zenoss Processes. A Zenoss Process failure impacts all associated Zenoss Metrics.

ZenPacks.zenoss.ZenossVirtualHostMonitor-4.2.5_2.4.0-1.lbn13.noarch: Zenoss Virtual Host Monitor --------------------------- ZenossVirtualHostMonitor is a ZenPack that allows you to monitor virtually hosted operating systems. This ZenPack refers to a Virtual Machine Host as the one running on the bare metal, and Guest for those running within the virtual hardware. This zenpack: 1) Extends Devices to support a relationship from Host to Guest. 2) Provides screens displaying resources allocated to Guest OSs. 3) Collects nothing on its own. It provides base functionality for other zenpacks (XenMonitor, VMwareESXMonitor)

ZenPacks.zenoss.ZenJMX-4.2.3_3.9.3-6.lbn13egg.noarch: ZenJMX is a full-featured JMX client that works "out of the box" with JMX agents that have their remote APIs enabled. It supports authenticated and unauthenticated connections, and it can retrieve single-value attributes, complex-value attributes, and the results of invoking an operation. Operations with parameters are also supported so long as the parameters are primitive types (Strings, booleans, numbers), as well as the object version of primitives (such as java.lang.Integer and java.lang.Float). Multi-value responses from operations (Maps and Lists) are supported, as are primitive responses from operations. The JMX data source installed by ZenJMX allows you to define the connection, authentication, and retrieval information you want to use to retrieve performance information. The IP address is extracted from the parent device, but the port number of the JMX Agent is configurable in each data source. This allows you to operate multiple JMX Agents on a single device and retrieve performance information for each agent separately. This is commonly used on production servers that run multiple applications. Authentication information is also associated with each JMX data source. This offers the most flexibility for site administrators because they can run some JMX agents in an open, unauthenticated fashion and others in a hardened and authenticated fashion. SSL-wrapped connections are supported by the underlying JMX Remote subsystem built into the JDK, but were not tested in the Zenoss labs. As a result, your success with SSL encrypted access to JMX Agents may vary. The data source allows you to define the type of performance information you want to achieve: single-value attribute, complex-value attribute, or operation invocation. To specify the type of retrieval, you must specify an attribute name (and one or more data points) or provide operation information. Any numerical value returned by a JMX agent can be retrieved by Zenoss and graphed and checked against thresholds. Non-numerical values (Strings and complex types) cannot be retrieved and stored by Zenoss. When setting up data points, make sure you understand the semantics of the attribute name and choose the correct Zenoss data point type. Many JMX Agent implementations use inconsistent nomenclature when describing attributes. In some cases the term "Count" refers to an ever-increasing number (a "Counter" data point type). In other cases the term "Count" refers to a snapshot number (a "Gauge" data point type).

ZenPacks.zenoss.XenMonitor-4.2.5_1.1.0-1.lbn13.noarch: Xen Monitor --------------------------- XenMonitor is a ZenPack that allows you to monitor virtually hosted operating systems running on a Xen hypervisor. It depends on the prior installation of the ZenossVirtualHostMonitor zenpack. This zenpack: 1) Extends ZenModeler to find Guest OS's and add them to Virtual Hosts 3) Provides templates for collecting resources allocated to Guest OSs. To Use XenMonitor: 1) Ensure that you have SSH keys to your Xen servers (as root). 2) Create your Xen servers using the /Servers/Virtual Hosts/Xen device class. If you have these servers modeled already, remove them and recreate them under the Xen device class. DO NOT MOVE THEM. 3) Select the Guest menu and ensure that the guest hosts were found when the devices were added.

ZenPacks.zenoss.WindowsMonitor-4.2.5_1.1.0-2.lbn13.noarch: This package provides the capability to monitor windows systems. The following daemons perform Windows monitoring tasks: zenwin - monitors Windows service processes zeneventlog - imports events from the Windows Event Log into Zenoss zenwinperf - collects performance information from Windows machines

ZenPacks.zenoss.RabbitMQ-4.2.5_1.1.0dev-1.lbn13.noarch: To start monitoring your RabbitMQ server you will need to setup SSH access so that your Zenoss collector server will be able to SSH into your RabbitMQ server(s) as a user who has permission to run the rabbitmqctl command. This almost always means the root user. See the Using a Non-Root User section below for instructions on allowing non-root users to run rabbitmqctl. To do this you need to set the following zProperties for the RabbitMQ devices or their device class in Zenoss. * zCommandUsername * zCommandPassword * zKeyPath The zCommandUsername property must be set. To use public key authentication you must verify that the public portion of the key referenced in zKeyPath is installed in the ~/.ssh/authorized_keys file for the appropriate user on the RabbitMQ server. If this key has a passphrase you should set it in the zCommandPassword property. If you'd rather use password authentication than setup keys, simply put the user's password in the zCommandPassword property. You should then add the zenoss.ssh.RabbitMQ modeler plugin to the device, or device class containing your RabbitMQ servers and remodel the device(s). This will automatically find the node, vhosts, exchanges and queues and begin monitoring them immediately for the following metrics. * Node Values o Status - Running or not? Generates event on failure. o Open Connections & Channels o Sent & Received Bytes Rate o Sent & Received Messages Rate o Depth of Send Queue o Consumers o Unacknowledged & Uncommitted Messages * Queue Values o Ready, Unacknowledged & Total Messages o Memory Usage o Consumers There is a default threshold of 1,000,000 messages per queue. This is almost certainly an absurdly high threshold that shouldn't trip in normal systems. However, by clicking into the details of any individual queue you can set the per-queue threshold to a more reasonable value that makes sense for a given queue.

ZenPacks.zenoss.RPCMonitor-4.2.5_1.1.0-1.lbn13.noarch

ZenPacks.zenoss.PythonCollector-4.2.5_1.6.0-4.lbn13.noarch: This ZenPack provides a new Python data source type. It also provides a new zenpython collector daemon that is responsible for collecting these data sources. The goal of the Python data source type is to replicate some of the standard COMMAND data source type's functionality without requiring a new shell and shell subprocess to be spawned each time the data source is collected. The COMMAND data source type is infinitely flexible, but because of the shell and subprocess spawning, it's performance and ability to pass data into the collection script are limited. The Python data source type circumvents the need to spawn subprocesses by forcing the collection code to be asynchronous using the Twisted library. It circumvents the problem with passing data into the collection logic by being able to pass any basic Python data type without the need to worry about shell escaping issues. The Python data source type is intended to be used in one of two ways. The first way is directly through the creation of Python data sources through the web interface or in a ZenPack. When used in this way, it is the responsibility of the data source creator to implement the required Python class specified in the data source's Python Class Name property field. The second way the Python data source can be used is as a base class for another data source type. Used in this way, the ZenPack author will create a subclass of PythonDataSource to provide a higher-level functionality to the user. The user is then not responsible for writing a Python class to collect and process data.

ZenPacks.zenoss.PySamba-4.2.4_1.0.2-6.lbn13.x86_64: This package provides the python interface to the Samba C library and executable targets used by other ZenPacks for Windows device monitoring. This package does not itself provide any additional functionality for Zenoss.

ZenPacks.zenoss.PostgreSQL-4.2.5_1.0.8dev-1.lbn13.noarch: Once the PostgreSQL ZenPack is installed you will have the following new zProperties which should be set either for device classes or individual devices. * zPostgreSQLPort - Port where PostgreSQL is listening. Default: 5432 * zPostgreSQLUseSSL - Whether to use SSL or not. Default: False * zPostgreSQLUsername - Must be a superuser. Default: postgres * zPostgreSQLPassword - Password for user. No default. In addition to setting these properties you must add the zenoss.PostgreSQL modeler plugin to a device class or individual device. This modeler plugin will discover all databases and tables using the connectivity information provided through the above settings. Each database and table will automatically be monitored. The following elements are discovered: * Databases * Tables The following performance metrics are collected. * Server * Summaries of all databases and tables. * Databases * Latencies * Connection * SELECT 1 * Connections * Total * Active * Idle * Durations * Active Transactions (min/avg/max) * Idle Transactions (min/avg/max) * Queries (min/avg/max) * Size * Backends * Efficiencies * Transaction Rollback Percentage * Tuple Fetch Percentage * Transaction Rates * Commits/sec * Rollbacks/sec * Tuple Rates * Returned/sec * Fetched/sec * Inserted/sec * Updated/sec * Deleted/sec * Locks * Total * Granted * Waiting * Exclusive * AccessExclusive * Summaries of all tables. * Tables * Scan Rates * Sequential/sec * Indexed/sec * Tuple Rates * Sequentially Read/sec * Index Fetched/sec * Inserted/sec * Updated/sec * Hot Updated/sec * Deleted/sec * Tuples * Live * Dead

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