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The SCSI target package contains the daemon and tools to setup a SCSI targets. Currently, software iSCSI targets are supported.
Serf is a decentralized solution for service discovery and orchestration that is lightweight, highly available, and fault tolerant. Serf runs on Linux, Mac OS X, and Windows. An efficient and lightweight gossip protocol is used to communicate with other nodes. Serf can detect node failures and notify the rest of the cluster. An event system is built on top of Serf, letting you use Serf's gossip protocol to propagate events such as deploys, configuration changes, etc. Serf is completely masterless with no single point of failure. Here are some example use cases of Serf, though there are many others: Discovering web servers and automatically adding them to a load balancer Organizing many memcached or redis nodes into a cluster, perhaps with something like twemproxy or maybe just configuring an application with the address of all the nodes Triggering web deploys using the event system built on top of Serf Propagating changes to configuration to relevant nodes. Updating DNS records to reflect cluster changes as they occur. Much, much more.
Collection of Linux utilities for devices that use the SCSI command set. Includes utilities to copy data based on "dd" syntax and semantics (called sg_dd, sgp_dd and sgm_dd); check INQUIRY data and VPD pages (sg_inq); check mode and log pages (sginfo, sg_modes and sg_logs); spin up and down disks (sg_start); do self tests (sg_senddiag); and various other functions. See the README, CHANGELOG and COVERAGE files. Requires the linux kernel 2.4 series or later. In the 2.4 series SCSI generic device names (e.g. /dev/sg0) must be used. In the 2.6 series other device names may be used as well (e.g. /dev/sda). Warning: Some of these tools access the internals of your system and the incorrect usage of them may render your system inoperable.
This package contains the shared library for sg3_utils.
The Sigar API provides a portable interface for gathering system information such as: - System memory, swap, CPU, load average, uptime, logins - Per-process memory, CPU, credential info, state, arguments, environment, open files - File system detection and metrics - Network interface detection, configuration info and metrics - Network route and connection tables This information is available in most operating systems, but each OS has their own way(s) providing it. SIGAR provides developers with one API to access this information regardless of the underlying platform.
Splunk is software that provides unique visibility across your entire IT infrastructure from one place in real time. Only Splunk enables you to search, report, monitor and analyze streaming and historical data from any source. Troubleshoot application problems and investigate security incidents in minutes instead of hours or days, monitor to avoid service degradation or outages, deliver compliance at lower cost and gain new business insights from your IT data.
This SDK contains library code and examples designed to enable developers to build applications using Splunk. Splunk is a search engine and analytic environment that uses a distributed map-reduce architecture to efficiently index, search and process large time-varying data sets. The Splunk product is popular with system administrators for aggregation and monitoring of IT machine data, security, compliance and a wide variety of other scenarios that share a requirement to efficiently index, search, analyze and generate real-time notifications from large volumes of time series data. The Splunk developer platform enables developers to take advantage of the same technology used by the Splunk product to build exciting new applications that are enabled by Splunk's unique capabilities.
This SDK contains library code and examples designed to enable developers to build applications using Splunk. With the Splunk SDK for Ruby you can write Ruby applications to programmatically interact with the Splunk engine. The SDK is built on top of the REST API, providing a wrapper over the REST API endpoints. So with fewer lines of code, you can write applications that: Search your data, run saved searches, and work with search jobs Manage Splunk configurations and objects Integrate search results into your applications Log directly to Splunk Present a custom UI
A network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).
Subunit C bindings. See the python-subunit package for test processing functionality.