telefonicaid/monasca-persister

Name: monasca-persister

Owner: Telefónica I+D

Description: Monasca Database Persister

Created: 2015-10-20 13:31:19.0

Updated: 2016-09-13 12:56:21.0

Pushed: 2016-10-04 09:41:11.0

Homepage: http://openstack.org

Size: 682

Language: Java

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README

monasca-persister

The Monitoring Persister consumes metrics and alarm state transitions from the Message Queue and stores them in the Metrics and Alarms database.

Although the Persister isn't primarily a Web service it uses DropWizard, https://dropwizard.github.io/dropwizard/, which provides a nice Web application framework to expose an http endpoint that provides an interface through which metrics about the Persister can be queried as well as health status.

The basic design of the Persister is to have one Kafka consumer publish to a Disruptor, https://github.com/LMAX-Exchange/disruptor, that has output processors. The output processors use prepared batch statements to write to the Metrics and Alarms database.

The number of output processors/threads in the Persister can be specified to scale to more messages. To horizontally scale and provide fault-tolerance any number of Persisters can be started as consumers from the the Message Queue.

Build

Requires monasca-common from https://github.com/openstack/monasca-common. Download and build following instructions in its README.md. Then build monasca-persister by:

clean package

Configuration

A sample configuration file is available in java/src/deb/etc/persister-config.yml-sample.

A second configuration file is provided in java/src/main/resources/persister-config.yml for use with the vagrant “mini-mon” development environment.

TODO

License

Copyright (c) 2014 Hewlett-Packard Development Company, L.P.

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.