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nodejs-elasticsearch-browser-12.0.0-1.lbn19.noarch
The official low-level Elasticsearch client, for use in the browser.
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opentsdb-2.2.0-1.lbn19.noarch
OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top
of HBase. OpenTSDB was written to address a common need: store, index and
serve metrics collected from computer systems (network gear, operating
systems, applications) at a large scale, and make this data easily accessible
and graphable.
Thanks to HBase's scalability, OpenTSDB allows you to collect many thousands
of metrics from thousands of hosts and applications, at a high rate (every few
seconds). OpenTSDB will never delete or downsample data and can easily store
billions of data points.
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packetbeat-5.0.0-3.rc1.b85820f.lbn19.x86_64
Packetbeat is an open source network packet analyzer that ships the data to Elasticsearch.
Think of it like a distributed real-time Wireshark with a lot more analytics features.
The Packetbeat shippers sniff the traffic between your application processes, parse on the
fly protocols like HTTP, MySQL, PostgreSQL, Redis or Thrift and correlate the messages into
transactions.
For each transaction, the shipper inserts a JSON document into Elasticsearch, where it is
stored and indexed. You can then use Kibana to view key metrics and do ad-hoc queries
against the data.
To learn more about Packetbeat, check out https://www.elastic.co/products/beats/packetbeat.
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prometheus-1.2.1-1.lbn19.x86_64
Prometheus is a systems and service monitoring system.
It collects metrics from configured targets at given intervals, evaluates
rule expressions, displays the results, and can trigger alerts if
some condition is observed to be true.
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prometheus-alertmanager-0.3.0-1.git97eca6d.lbn19.x86_64
The Alertmanager handles alerts sent by client applications such as the Prometheus server. It
takes care of deduplicating, grouping, and routing them to the correct receiver integration
such as email, PagerDuty, or OpsGenie. It also takes care of silencing and inhibition of alerts.
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prometheus-cli-0.3.0-1.gita5c0897.lbn19.x86_64
Usage:
prometheus-cli [flags] query <expression>
prometheus-cli [flags] query_range <expression> <end_timestamp> <range_seconds> [<step_seconds>]
prometheus-cli [flags] metrics
Flags:
-csv=true: Whether to format output as CSV
-csvDelimiter=";": Single-character delimiter to use in CSV output
-server="": URL of the Prometheus server to query
-timeout=1m0s: Timeout to use when querying the Prometheus server
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prometheus-promu-0.0.0-1.gitd007363.lbn19.x86_64
promu is the utility tool for Prometheus projects
Usage:
promu [flags]
promu [command]
Available Commands:
build Build a Go project
crossbuild Crossbuild a Go project using Golang builder Docker images
info Print info about current project and exit
release Upload tarballs to the Github release
tarball Create a tarball from the builded Go project
version Print the version and exit
Flags:
--config string Config file (default is ./.promu.yml)
-v, --verbose Verbose output
--viper Use Viper for configuration (default true)
Use "promu [command] --help" for more information about a command.
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prometheus-pushgateway-0.3.0-1.gitc3b9ef4.lbn19.x86_64
The Prometheus Pushgateway exists to allow ephemeral and batch jobs to expose their metrics to Prometheus. Since these kinds of jobs may not exist long enough to be scraped, they can instead push their metrics to a Pushgateway. The Pushgateway then exposes these metrics to Prometheus.
The Pushgateway is explicitly not an aggregator, but rather a metrics cache. It does not have a statsd-like semantics. The metrics pushed are exactly the same as you would present for scraping in a permanently running program.
For machine-level metrics, the textfile collector of the Node exporter is usually more appropriate. The Pushgateway is best used for service-level metrics.
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prometheus-snmp-exporter-0.0.5-1.lbn19.noarch
See https://github.com/prometheus/snmp_exporter/blob/master/README.md
for
documentation.
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python-rpy2-2.8.3-1.lbn19.x86_64
Python interface to the R language (embedded R)
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