From ebd7a7d9be95d8284f4e02bb55bcc324f0994fda Mon Sep 17 00:00:00 2001 From: "Nicolas Barcet (nijaba)" Date: Tue, 3 Sep 2013 00:45:24 +0200 Subject: [PATCH] Update the high level architecture Updated the architecture document to include new features since folsom. Change-Id: I8f3bee2f881341a18ad20063d081f0fb7d63c3ad --- doc/source/1-Collectorandagents.png | Bin 0 -> 38021 bytes doc/source/2-accessmodel.png | Bin 0 -> 34633 bytes doc/source/3-Pipeline.png | Bin 0 -> 31237 bytes doc/source/4-Transformer.png | Bin 0 -> 42222 bytes doc/source/5-multi-publish.png | Bin 0 -> 27576 bytes doc/source/6-storagemodel.png | Bin 0 -> 47190 bytes doc/source/7-overallarchi.png | Bin 0 -> 59435 bytes doc/source/architecture.rst | 260 +++++++++++++++++++++++++--- doc/source/webapi/v2.rst | 2 + 9 files changed, 236 insertions(+), 26 deletions(-) create mode 100644 doc/source/1-Collectorandagents.png create mode 100644 doc/source/2-accessmodel.png create mode 100644 doc/source/3-Pipeline.png create mode 100644 doc/source/4-Transformer.png create mode 100644 doc/source/5-multi-publish.png create mode 100644 doc/source/6-storagemodel.png create mode 100644 doc/source/7-overallarchi.png diff --git a/doc/source/1-Collectorandagents.png 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The "source" field of each sample refers to the authority +defining the user and tenant associated with the sample. Deployers can define +custom sources through a configuration file, and then create agents to collect +samples for new meters using those sources. This means that you can collect +data for applications running on top of OpenStack, such as a PaaS or SaaS +layer, and use the same tools for metering your entire cloud. + +Moreover, end users can also :ref:`send their own application centric data ` into the +database through the REST API for a various set of use cases (see the section +“Alarming” later in this article). + +.. _send their own application centric data: ./webapi/v2.html#user-defined-data + +Multi-Publisher +--------------- + +.. figure:: ./3-Pipeline.png + :figwidth: 100% + :align: center + :alt: Ceilometer pipeline + + The assembly of component making the ceilometer pipeline + +Publishing meters for different uses is actually a two dimensional problem. +The first variable is the frequency of publication. Typically a meter that +you publish for billing need will need to be updated every 30 min while the +same meter needed for performance tuning may be needed every 10 seconds. + +The second variable is the transport. In the case of data intended for a +monitoring system, losing an update or not ensuring security +(non-repudiability) of a message is not really a problem while the same meter +will need both security and guaranteed delivery in the case of data intended +for rating and billing systems. + +To solve this, the notion of multi-publisher can now be configured for each +meter within Ceilometer, allowing the same technical meter to be published +multiple times to multiple destination each potentially using a different +transport and frequency of publication. At the time of writing, two +transports have been implemented so far: the original and relatively secure +Oslo RPC queue based, and one using UDP packets. + +.. figure:: ./4-Transformer.png + :figwidth: 100% + :align: center + :alt: Transformer example + + Example of aggregation of multiple cpu time usage samples in a single + cpu percentage sample + +.. figure:: ./5-multi-publish.png + :figwidth: 100% + :align: center + :alt: Multi-publish + + This figure shows how a sample can be published to multiple destinations. + +Alarming +-------- + +The Alarming component of Ceilometer, which is being delivered in the Havana +version, allows you to set alarms based on threshold evaluation for a collection +of samples. An alarm can be set on a single meter, or on a combination. For +example, you may want to trigger an alarm when the memory consumption +reaches 70% on a given instance if the instance has been up for more than +10 min. To setup an alarm, you will call :ref:`Ceilometer’s API server ` specifying +the alarm conditions and an action to take. + +Of course, if you are not administrator of the cloud itself, you can only +set alarms on meters for your own components. Good news, you can also +:ref:`send your own meters ` from within your instances, +meaning that you can trigger +alarms based on application centric data. + + +There can be multiple form of actions, but two have been implemented so far: +1. http call back: you provide a URL to be called whenever the alarm has been set + off. The payload of the request contains all the details of why the alarm went + off. +2. log: mostly useful for debugging, stores alarms in a log file. + +For more details on this, I recommend you to read the blog post by +Mehdi Abaakouk `Autoscaling with Heat and Ceilometer`_. Particular attention +should be given to the section “Some notes about deploying alarming” as the +database setup (using a separate database from the one used for metering) +will be critical in all cases of production deployment. + +.. _Autoscaling with Heat and Ceilometer: http://techs.enovance.com/5991/autoscaling-with-heat-and-ceilometer + +.. _which database to use: +Which database to use +--------------------- + +.. figure:: ./6-storagemodel.png + :figwidth: 100% + :align: center + :alt: Storage model + + An overview of the Ceilometer storage model. + +Since the beginning of the project, a plugin model has been put in place +to allow for various types of database backends to be used. However, not +all implementations are equal and, at the time of writing, MongoDB +is the recommended backend of choice because it is the most tested. Have a look +at the “choosing a database backend” section of the documentation for more +details. In short, ensure a dedicated database is used when deploying +Ceilometer as the volume of data generated can be extensive in a production +environment and will generally use a lot of I/O. + +.. figure:: ./7-overallarchi.png + :figwidth: 100% + :align: center + :alt: Architecture summary + + An overall summary of Ceilometer's logical architecture. Detailed Description ==================== diff --git a/doc/source/webapi/v2.rst b/doc/source/webapi/v2.rst index 373f22943..6a9a325f1 100644 --- a/doc/source/webapi/v2.rst +++ b/doc/source/webapi/v2.rst @@ -32,6 +32,7 @@ Samples and Statistics .. autotype:: ceilometer.api.controllers.v2.Statistics :members: +.. _alarms-api: Alarms ====== @@ -292,6 +293,7 @@ parameter to the query:: This query would only return the last 3 samples. +.. _user-defined-data: User-defined data +++++++++++++++++