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+# Apache Aurora Presentations
+Video and slides from presentations and panel discussions about Apache Aurora.
+
+_(Listed in date descending order)_
+
+<table>
+
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/10_08_2015_mesos_aurora_on_a_small_scale_thumb.png"
 alt="Mesos and Aurora on a Small Scale Thumbnail" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=q5iIqhaCJ_o";>Mesos &amp; Aurora on a 
Small Scale (Video)</a></strong>
+               <p>Presented by Florian Pfeiffer</p>
+               <p>October 8, 2015 at <a 
href="http://events.linuxfoundation.org/events/archive/2015/mesoscon-europe";>#MesosCon
 Europe 2015</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/10_08_2015_sla_aware_maintenance_for_operators_thumb.png"
 alt="SLA Aware Maintenance for Operators Thumbnail" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=tZ0-SISvCis";>SLA Aware Maintenance for 
Operators (Video)</a></strong>
+               <p>Presented by Joe Smith</p>
+               <p>October 8, 2015 at <a 
href="http://events.linuxfoundation.org/events/archive/2015/mesoscon-europe";>#MesosCon
 Europe 2015</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/09_20_2015_shipping_code_with_aurora_thumb.png"
 alt="Shipping Code with Aurora Thumbnail" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=y1hi7K1lPkk";>Shipping Code with Aurora 
(Video)</a></strong>
+               <p>Presented by Bill Farner</p>
+               <p>August 20, 2015 at <a 
href="http://events.linuxfoundation.org/events/archive/2015/mesoscon";>#MesosCon 
2015</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/09_20_2015_twitter_production_scale_thumb.png"
 alt="Twitter Production Scale Thumbnail" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=nNrh-gdu9m4";>Twitter’s Production 
Scale: Mesos and Aurora Operations (Video)</a></strong>
+               <p>Presented by Joe Smith</p>
+               <p>August 20, 2015 at <a 
href="http://events.linuxfoundation.org/events/archive/2015/mesoscon";>#MesosCon 
2015</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/04_30_2015_monolith_to_microservices_thumb.png"
 alt="From Monolith to Microservices with Aurora Video Thumbnail" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=yXkOgnyK4Hw";>>From Monolith to 
Microservices w/ Aurora (Video)</a></strong>
+               <p>Presented by Thanos Baskous, Tony Dong, Dobromir Montauk</p>
+               <p>April 30, 2015 at <a 
href="http://www.meetup.com/Bay-Area-Apache-Aurora-Users-Group/events/221219480/";>Bay
 Area Apache Aurora Users Group</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/03_07_2015_aurora_mesos_in_practice_at_twitter_thumb.png"
 alt="Aurora + Mesos in Practice at Twitter Thumbnail" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=1XYJGX_qZVU";>Aurora + Mesos in Practice 
at Twitter (Video)</a></strong>
+               <p>Presented by Bill Farner</p>
+               <p>March 07, 2015 at <a 
href="http://www.bigeng.io/aurora-mesos-in-practice-at-twitter";>Bigcommerce 
TechTalk</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/02_28_2015_apache_aurora_thumb.png"
 alt="Apache Auroraの始めかた Slideshow Thumbnail" /></td>
+               <td><strong><a 
href="http://www.slideshare.net/zembutsu/apache-aurora-introduction-and-tutorial-osc15tk";>Apache
 Auroraの始めかた (Slides)</a></strong>
+               <p>Presented by Masahito Zembutsu</p>
+               <p>February 28, 2015 at <a 
href="http://www.ospn.jp/osc2015-spring/";>Open Source Conference 2015 Tokyo 
Spring</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/02_19_2015_aurora_adopters_panel_thumb.png"
 alt="Apache Aurora Adopters Panel Video Thumbnail" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=2Jsj0zFdRlg";>Apache Aurora Adopters Panel 
(Video)</a></strong>
+               <p>Panelists Ben Staffin, Josh Adams, Bill Farner, Berk 
Demir</p>
+               <p>February 19, 2015 at <a 
href="http://www.meetup.com/Bay-Area-Mesos-User-Group/events/220279080/";>Bay 
Area Mesos Users Group</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/02_19_2015_aurora_at_twitter_thumb.png"
 alt="Operating Apache Aurora and Mesos at Twitter Video Thumbnail" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=E4lxX6epM_U";>Operating Apache Aurora and 
Mesos at Twitter (Video)</a></strong>
+               <p>Presented by Joe Smith</p>
+               <p>February 19, 2015 at <a 
href="http://www.meetup.com/Bay-Area-Mesos-User-Group/events/220279080/";>Bay 
Area Mesos Users Group</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/02_19_2015_aurora_at_tellapart_thumb.png"
 alt="Apache Aurora and Mesos at TellApart" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=ZZXtXLvTXAE";>Apache Aurora and Mesos at 
TellApart (Video)</a></strong>
+               <p>Presented by Steve Niemitz</p>
+               <p>February 19, 2015 at <a 
href="http://www.meetup.com/Bay-Area-Mesos-User-Group/events/220279080/";>Bay 
Area Mesos Users Group</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/08_21_2014_past_present_future_thumb.png"
 alt="Past, Present, and Future of the Aurora Scheduler Video Thumbnail" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=Dsc5CPhKs4o";>Past, Present, and Future of 
the Aurora Scheduler (Video)</a></strong>
+               <p>Presented by Bill Farner</p>
+               <p>August 21, 2014 at <a 
href="http://events.linuxfoundation.org/events/archive/2014/mesoscon";>#MesosCon 
2014</a></p></td>
+       </tr>
+       <tr>
+               <td><img 
src="/documentation/0.16.0/images/presentations/03_25_2014_introduction_to_aurora_thumb.png"
 alt="Introduction to Apache Aurora Video Thumbnail" /></td>
+               <td><strong><a 
href="https://www.youtube.com/watch?v=asd_h6VzaJc";>Introduction to Apache 
Aurora (Video)</a></strong>
+               <p>Presented by Bill Farner</p>
+               <p>March 25, 2014 at <a 
href="https://www.eventbrite.com/e/aurora-and-mesosframeworksmeetup-tickets-10850994617";>Aurora
 and Mesos Frameworks Meetup</a></p></td>
+       </tr>
+</table>

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@@ -0,0 +1,24 @@
+# Tools
+
+Various tools integrate with Aurora. Is there a tool missing? Let us know, or 
submit a patch to add it!
+
+* Load-balancing technology used to direct traffic to services running on 
Aurora:
+  - [synapse](https://github.com/airbnb/synapse) based on HAProxy
+  - [aurproxy](https://github.com/tellapart/aurproxy) based on nginx
+  - [jobhopper](https://github.com/benley/aurora-jobhopper) performs HTTP 
redirects for easy developer and administrator access
+
+* RPC libraries that integrate with the Aurora's [service discovery 
mechanism](../../features/service-discovery/):
+  - [linkerd](https://linkerd.io/) RPC proxy
+  - [finagle](https://twitter.github.io/finagle) (Scala)
+  - [scales](https://github.com/steveniemitz/scales) (Python)
+
+* Monitoring:
+  - [collectd-aurora](https://github.com/zircote/collectd-aurora) for cluster 
monitoring using collectd
+  - [Prometheus Aurora 
exporter](https://github.com/tommyulfsparre/aurora_exporter) for cluster 
monitoring using Prometheus
+  - [Prometheus service discovery 
integration](http://prometheus.io/docs/operating/configuration/#zookeeper-serverset-sd-configurations-serverset_sd_config)
 for discovering and monitoring services running on Aurora
+
+* Packaging and deployment:
+  - [aurora-packaging](https://github.com/apache/aurora-packaging), the source 
of the official Aurora packages
+
+* Thrift Clients:
+  - [gorealis](https://github.com/rdelval/gorealis) for communicating with the 
scheduler using Go

Added: aurora/site/source/documentation/0.16.0/contributing.md
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2016
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+## Get the Source Code
+
+First things first, you'll need the source! The Aurora source is available 
from Apache git:
+
+    git clone https://git-wip-us.apache.org/repos/asf/aurora
+
+Read the Style Guides
+---------------------
+Aurora's codebase is primarily Java and Python and conforms to the Twitter 
Commons styleguides for
+both languages.
+
+- [Java Style 
Guide](https://github.com/twitter/commons/blob/master/src/java/com/twitter/common/styleguide.md)
+- [Python Style 
Guide](https://github.com/twitter/commons/blob/master/src/python/twitter/common/styleguide.md)
+
+## Find Something to Do
+
+There are issues in [Jira](https://issues.apache.org/jira/browse/AURORA) with 
the
+["newbie" 
label](https://issues.apache.org/jira/issues/?jql=project%20%3D%20AURORA%20AND%20labels%20%3D%20newbie%20and%20resolution%3Dunresolved)
+that are good starting places for new Aurora contributors; pick one of these 
and dive in! To assign
+a task to yourself, first ask for your JIRA id to be whitelisted by either 
asking in IRC/Slack or by
+emailing d...@apache.aurora.org. Once your JIRA account has been whitelisted 
you can assign tickets
+to yourself. The next step is to prepare your patch and finally post it for 
review.
+
+## Getting your ReviewBoard Account
+
+Go to https://reviews.apache.org and create an account.
+
+## Setting up your ReviewBoard Environment
+
+Run `./rbt status`. The first time this runs it will bootstrap and you will be 
asked to login.
+Subsequent runs will cache your login credentials.
+
+## Submitting a Patch for Review
+
+Post a review with `rbt`, fill out the fields in your browser and hit Publish.
+
+    ./rbt post -o
+
+If you're unsure about who to add as a reviewer, you can default to adding 
Bill Farner (wfarner) and
+Joshua Cohen (jcohen). They will take care of finding an appropriate reviewer 
for the patch.
+
+Once you've done this, you probably want to mark the associated Jira issue as 
Reviewable.
+
+## Updating an Existing Review
+
+Incorporate review feedback, make some more commits, update your existing 
review, fill out the
+fields in your browser and hit Publish.
+
+    ./rbt post -o -r <RB_ID>
+
+## Getting Your Review Merged
+
+If you're not an Aurora committer, one of the committers will merge your 
change in as described
+below. Generally, the last reviewer to give the review a 'Ship It!' will be 
responsible.
+
+### Merging Your Own Review (Committers)
+
+Once you have shipits from the right committers, merge your changes in a 
single commit and mark
+the review as submitted. The typical workflow is:
+
+    git checkout master
+    git pull origin master
+    ./rbt patch -c <RB_ID>  # Verify the automatically-generated commit 
message looks sane,
+                            # editing if necessary.
+    git show master         # Verify everything looks sane
+    git push origin master
+    ./rbt close <RB_ID>
+
+Note that even if you're developing using feature branches you will not use 
`git merge` - each
+commit will be an atomic change accompanied by a ReviewBoard entry.
+
+### Merging Someone Else's Review
+
+Sometimes you'll need to merge someone else's RB. The typical workflow for 
this is
+
+    git checkout master
+    git pull origin master
+    ./rbt patch -c <RB_ID>
+    git show master  # Verify everything looks sane, author is correct
+    git push origin master
+
+Note for committers: while we generally use the commit message generated by 
`./rbt patch` some
+changes are often required:
+
+1. Ensure the the commit message does not exceed 100 characters per line.
+2. Remove the "Testing Done" section. It's generally redundant (can be seen by 
checking the linked
+  review) or entirely irrelevant to the commit itself.
+
+## Cleaning Up
+
+Your patch has landed, congratulations! The last thing you'll want to do 
before moving on to your
+next fix is to clean up your Jira and Reviewboard. The former of which should 
be marked as
+"Resolved" while the latter should be marked as "Submitted".

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+Developing the Aurora Client
+============================
+
+The client is written in Python, and uses the
+[Pants](http://pantsbuild.github.io/python-readme.html) build tool.
+
+
+Building and Testing
+--------------------
+
+Building and testing the client code are both done using Pants. The relevant 
targets to know about
+are:
+
+   * Build a client executable: `./pants binary 
src/main/python/apache/aurora/client:aurora`
+   * Test client code: `./pants test 
src/test/python/apache/aurora/client/cli:cli`
+
+If you want to build a source distribution of the client, you need to run 
`./build-support/release/make-python-sdists`.
+
+
+Running/Debugging
+------------------
+
+For manually testing client changes against a cluster, we use 
[Vagrant](https://www.vagrantup.com/).
+To start a virtual cluster, you need to install Vagrant, and then run `vagrant 
up` for the root of
+the aurora workspace. This will create a vagrant host named "devcluster", with 
a Mesos master, a set
+of Mesos agents, and an Aurora scheduler.
+
+If you have a change you would like to test in your local cluster, you'll 
rebuild the client:
+
+    vagrant ssh -c 'aurorabuild client'
+
+Once this completes, the `aurora` command will reflect your changes.
+
+
+Running/Debugging in PyCharm
+-----------------------------
+
+It's possible to use PyCharm to run and debug both the client and client tests 
in an IDE. In order
+to do this, first run:
+
+    build-support/python/make-pycharm-virtualenv
+
+This script will configure a virtualenv with all of our Python requirements. 
Once the script
+completes it will emit instructions for configuring PyCharm:
+
+    Your PyCharm environment is now set up.  You can open the project root
+    directory with PyCharm.
+
+    Once the project is loaded:
+      - open project settings
+      - click 'Project Interpreter'
+      - click the cog in the upper-right corner
+      - click 'Add Local'
+      - select 'build-support/python/pycharm.venv/bin/python'
+      - click 'OK'
+
+### Running/Debugging Tests
+After following these instructions, you should now be able to run/debug tests 
directly from the IDE
+by right-clicking on a test (or test class) and choosing to run or debug:
+
+[![Debug Client 
Test](../images/debug-client-test.png)](../images/debug-client-test.png)
+
+If you've set a breakpoint, you can see the run will now stop and let you 
debug:
+
+[![Debugging Client 
Test](../images/debugging-client-test.png)](../images/debugging-client-test.png)
+
+### Running/Debugging the Client
+Actually running and debugging the client is unfortunately a bit more complex. 
You'll need to create
+a Run configuration:
+
+* Go to Run → Edit Configurations
+* Click the + icon to add a new configuration.
+* Choose python and name the configuration 'client'.
+* Set the script path to 
`/your/path/to/aurora/src/main/python/apache/aurora/client/cli/client.py`
+* Set the script parameters to the command you want to run (e.g. `job status 
<job key>`)
+* Expand the Environment section and click the ellipsis to add a new 
environment variable
+* Click the + at the bottom to add a new variable named AURORA_CONFIG_ROOT 
whose value is the
+  path where the your cluster configuration can be found. For example, to talk 
to the scheduler
+  running in the vagrant image, it would be set to 
`/your/path/to/aurora/examples/vagrant` (this
+  is the directory where our example clusters.json is found).
+* You should now be able to run and debug this configuration!

Added: aurora/site/source/documentation/0.16.0/development/committers-guide.md
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+Committer's Guide
+=================
+
+Information for official Apache Aurora committers.
+
+Setting up your email account
+-----------------------------
+Once your Apache ID has been set up you can configure your account and add ssh 
keys and setup an
+email forwarding address at
+
+    http://id.apache.org
+
+Additional instructions for setting up your new committer email can be found at
+
+    http://www.apache.org/dev/user-email.html
+
+The recommended setup is to configure all services (mailing lists, JIRA, 
ReviewBoard) to send
+emails to your @apache.org email address.
+
+
+Creating a gpg key for releases
+-------------------------------
+In order to create a release candidate you will need a gpg key published to an 
external key server
+and that key will need to be added to our KEYS file as well.
+
+1. Create a key:
+
+               gpg --gen-key
+
+2. Add your gpg key to the Apache Aurora KEYS file:
+
+               git clone https://git-wip-us.apache.org/repos/asf/aurora.git
+               (gpg --list-sigs <KEY ID> && gpg --armor --export <KEY ID>) >> 
KEYS
+               git add KEYS && git commit -m "Adding gpg key for <APACHE ID>"
+               ./rbt post -o -g
+
+3. Publish the key to an external key server:
+
+               gpg --keyserver pgp.mit.edu --send-keys <KEY ID>
+
+4. Update the changes to the KEYS file to the Apache Aurora svn dist locations 
listed below:
+
+               https://dist.apache.org/repos/dist/dev/aurora/KEYS
+               https://dist.apache.org/repos/dist/release/aurora/KEYS
+
+5. Add your key to git config for use with the release scripts:
+
+               git config --global user.signingkey <KEY ID>
+
+
+Creating a release
+------------------
+The following will guide you through the steps to create a release candidate, 
vote, and finally an
+official Apache Aurora release. Before starting your gpg key should be in the 
KEYS file and you
+must have access to commit to the dist.a.o repositories.
+
+1. Ensure that all issues resolved for this release candidate are tagged with 
the correct Fix
+Version in JIRA, the changelog script will use this to generate the CHANGELOG 
in step #2.
+To assign the fix version:
+
+    * Look up the [previous release 
date](https://issues.apache.org/jira/browse/aurora/?selectedTab=com.atlassian.jira.jira-projects-plugin:versions-panel).
+    * Query all issues resolved after that release date: `project = AURORA AND 
status in (resolved, Closed) and fixVersion is empty and resolutiondate >= 
"YYYY/MM/DD"`
+    * In the upper right corner of the query result, select Tools > Bulk Edit.
+    * Select all issues > edit issue > set 'Change Fix Version/s' to the 
release version.
+    * Make sure to uncheck 'Send mail for this update' at the bottom.
+
+2. Prepare RELEASE-NOTES.md for the release. This just boils down to removing 
the "(Not yet
+released)" suffix from the impending release.
+
+2. Create a release candidate. This will automatically update the CHANGELOG 
and commit it, create a
+branch and update the current version within the trunk. To create a minor 
version update and publish
+it run
+
+               ./build-support/release/release-candidate -l m -p
+
+3. Update, if necessary, the draft email created from the `release-candidate` 
script in step #2 and
+send the [VOTE] email to the dev@ mailing list. You can verify the release 
signature and checksums
+by running
+
+               ./build-support/release/verify-release-candidate
+
+4. Wait for the vote to complete. If the vote fails close the vote by replying 
to the initial [VOTE]
+email sent in step #3 by editing the subject to [RESULT][VOTE] ... and noting 
the failure reason
+(example [here](http://markmail.org/message/d4d6xtvj7vgwi76f)). You'll also 
need to manually revert
+the commits generated by the release candidate script that incremented the 
snapshot version and
+updated the changelog. Once that is done, now address any issues and go back 
to step #1 and run
+again, this time you will use the -r flag to increment the release candidate 
version. This will
+automatically clean up the release candidate rc0 branch and source 
distribution.
+
+               ./build-support/release/release-candidate -l m -r 1 -p
+
+5. Once the vote has successfully passed create the release
+
+**IMPORTANT: make sure to use the correct release at this final step (e.g.: 
`-r 1` if rc1 candidate
+has been voted for). Once the release tag is pushed it will be very hard to 
undo due to remote
+git pre-receive hook explicitly forbidding release tag manipulations.**
+
+               ./build-support/release/release
+
+6. Update the draft email created fom the `release` script in step #5 to 
include the Apache ID's for
+all binding votes and send the [RESULT][VOTE] email to the dev@ mailing list.
+

Added: aurora/site/source/documentation/0.16.0/development/db-migration.md
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+DB Migrations
+=============
+
+Changes to the DB schema should be made in the form of migrations. This 
ensures that all changes
+are applied correctly after a DB dump from a previous version is restored.
+
+DB migrations are managed through a system built on top of
+[MyBatis Migrations](http://www.mybatis.org/migrations/). The migrations are 
run automatically when
+a snapshot is restored, no manual interaction is required by cluster operators.
+
+Upgrades
+--------
+When adding or altering tables or changing data, in addition to making to 
change in
+[schema.sql](../../src/main/resources/org/apache/aurora/scheduler/storage/db/schema.sql),
 a new
+migration class should be created under the 
org.apache.aurora.scheduler.storage.db.migration
+package. The class should implement the 
[MigrationScript](https://github.com/mybatis/migrations/blob/master/src/main/java/org/apache/ibatis/migration/MigrationScript.java)
+interface (see 
[V001_TestMigration](https://github.com/apache/aurora/blob/rel/0.16.0/src/test/java/org/apache/aurora/scheduler/storage/db/testmigration/V001_TestMigration.java)
+as an example). The upgrade and downgrade scripts are defined in this class. 
When restoring a
+snapshot the list of migrations on the classpath is compared to the list of 
applied changes in the
+DB. Any changes that have not yet been applied are executed and their 
downgrade script is stored
+alongside the changelog entry in the database to faciliate downgrades in the 
event of a rollback.
+
+Downgrades
+----------
+If, while running migrations, a rollback is detected, i.e. a change exists in 
the DB changelog that
+does not exist on the classpath, the downgrade script associated with each 
affected change is
+applied.
+
+Baselines
+---------
+After enough time has passed (at least 1 official release), it should be safe 
to baseline migrations
+if desired. This can be accomplished by ensuring the changes from migrations 
have been applied to
+[schema.sql](../../src/main/resources/org/apache/aurora/scheduler/storage/db/schema.sql)
 and then
+removing the corresponding migration classes and adding a migration to remove 
the changelog entries.
\ No newline at end of file

Added: aurora/site/source/documentation/0.16.0/development/design-documents.md
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==============================================================================
--- aurora/site/source/documentation/0.16.0/development/design-documents.md 
(added)
+++ aurora/site/source/documentation/0.16.0/development/design-documents.md Wed 
Sep 28 18:23:53 2016
@@ -0,0 +1,22 @@
+Design Documents
+================
+
+Since its inception as an Apache project, larger feature additions to the
+Aurora code base are discussed in form of design documents. Design documents
+are living documents until a consensus has been reached to implement a feature
+in the proposed form.
+
+Current and past documents:
+
+* [Command Hooks for the Aurora Client](../design/command-hooks/)
+* [Dynamic 
Reservations](https://docs.google.com/document/d/19gV8Po6DIHO14tOC7Qouk8RnboY8UCfRTninwn_5-7c/edit)
+* [GPU Resources in 
Aurora](https://docs.google.com/document/d/1J9SIswRMpVKQpnlvJAMAJtKfPP7ZARFknuyXl-2aZ-M/edit)
+* [Health Checks for 
Updates](https://docs.google.com/document/d/1ZdgW8S4xMhvKW7iQUX99xZm10NXSxEWR0a-21FP5d94/edit)
+* [JobUpdateDiff thrift 
API](https://docs.google.com/document/d/1Fc_YhhV7fc4D9Xv6gJzpfooxbK4YWZcvzw6Bd3qVTL8/edit)
+* [REST API 
RFC](https://docs.google.com/document/d/11_lAsYIRlD5ETRzF2eSd3oa8LXAHYFD8rSetspYXaf4/edit)
+* [Revocable Mesos offers in 
Aurora](https://docs.google.com/document/d/1r1WCHgmPJp5wbrqSZLsgtxPNj3sULfHrSFmxp2GyPTo/edit)
+* [Supporting the Mesos Universal 
Containerizer](https://docs.google.com/document/d/111T09NBF2zjjl7HE95xglsDpRdKoZqhCRM5hHmOfTLA/edit?usp=sharing)
+* [Tier Management In Apache 
Aurora](https://docs.google.com/document/d/1erszT-HsWf1zCIfhbqHlsotHxWUvDyI2xUwNQQQxLgs/edit?usp=sharing)
+* [Ubiquitous 
Jobs](https://docs.google.com/document/d/12hr6GnUZU3mc7xsWRzMi3nQILGB-3vyUxvbG-6YmvdE/edit)
+
+Design documents can be found in the Aurora issue tracker via the query 
[`project = AURORA AND text ~ "docs.google.com" ORDER BY 
created`](https://issues.apache.org/jira/browse/AURORA-1528?jql=project%20%3D%20AURORA%20AND%20text%20~%20%22docs.google.com%22%20ORDER%20BY%20created).

Added: 
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--- aurora/site/source/documentation/0.16.0/development/design/command-hooks.md 
(added)
+++ aurora/site/source/documentation/0.16.0/development/design/command-hooks.md 
Wed Sep 28 18:23:53 2016
@@ -0,0 +1,102 @@
+# Command Hooks for the Aurora Client
+
+## Introduction/Motivation
+
+We've got hooks in the client that surround API calls. These are
+pretty awkward, because they don't correlate with user actions. For
+example, suppose we wanted a policy that said users weren't allowed to
+kill all instances of a production job at once.
+
+Right now, all that we could hook would be the "killJob" api call. But
+kill (at least in newer versions of the client) normally runs in
+batches. If a user called killall, what we would see on the API level
+is a series of "killJob" calls, each of which specified a batch of
+instances. We woudn't be able to distinguish between really killing
+all instances of a job (which is forbidden under this policy), and
+carefully killing in batches (which is permitted.) In each case, the
+hook would just see a series of API calls, and couldn't find out what
+the actual command being executed was!
+
+For most policy enforcement, what we really want to be able to do is
+look at and vet the commands that a user is performing, not the API
+calls that the client uses to implement those commands.
+
+So I propose that we add a new kind of hooks, which surround noun/verb
+commands. A hook will register itself to handle a collection of (noun,
+verb) pairs. Whenever any of those noun/verb commands are invoked, the
+hooks methods will be called around the execution of the verb. A
+pre-hook will have the ability to reject a command, preventing the
+verb from being executed.
+
+## Registering Hooks
+
+These hooks will be registered via configuration plugins. A configuration 
plugin
+can register hooks using an API. Hooks registered this way are, effectively,
+hardwired into the client executable.
+
+The order of execution of hooks is unspecified: they may be called in
+any order. There is no way to guarantee that one hook will execute
+before some other hook.
+
+
+### Global Hooks
+
+Commands registered by the python call are called _global_ hooks,
+because they will run for all configurations, whether or not they
+specify any hooks in the configuration file.
+
+In the implementation, hooks are registered in the module
+`apache.aurora.client.cli.command_hooks`, using the class
+`GlobalCommandHookRegistry`. A global hook can be registered by calling
+`GlobalCommandHookRegistry.register_command_hook` in a configuration plugin.
+
+### The API
+
+    class CommandHook(object)
+      @property
+      def name(self):
+        """Returns a name for the hook."
+
+      def get_nouns(self):
+        """Return the nouns that have verbs that should invoke this hook."""
+
+      def get_verbs(self, noun):
+        """Return the verbs for a particular noun that should invoke his 
hook."""
+
+      @abstractmethod
+      def pre_command(self, noun, verb, context, commandline):
+        """Execute a hook before invoking a verb.
+        * noun: the noun being invoked.
+        * verb: the verb being invoked.
+        * context: the context object that will be used to invoke the verb.
+          The options object will be initialized before calling the hook
+        * commandline: the original argv collection used to invoke the client.
+        Returns: True if the command should be allowed to proceed; False if 
the command
+        should be rejected.
+        """
+
+      def post_command(self, noun, verb, context, commandline, result):
+        """Execute a hook after invoking a verb.
+        * noun: the noun being invoked.
+        * verb: the verb being invoked.
+        * context: the context object that will be used to invoke the verb.
+          The options object will be initialized before calling the hook
+        * commandline: the original argv collection used to invoke the client.
+        * result: the result code returned by the verb.
+        Returns: nothing
+        """
+
+    class GlobalCommandHookRegistry(object):
+      @classmethod
+      def register_command_hook(self, hook):
+        pass
+
+### Skipping Hooks
+
+To skip a hook, a user uses a command-line option, `--skip-hooks`. The option 
can either
+specify specific hooks to skip, or "all":
+
+* `aurora --skip-hooks=all job create east/bozo/devel/myjob` will create a job
+  without running any hooks.
+* `aurora --skip-hooks=test,iq create east/bozo/devel/myjob` will create a job,
+  and will skip only the hooks named "test" and "iq".

Added: aurora/site/source/documentation/0.16.0/development/scheduler.md
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--- aurora/site/source/documentation/0.16.0/development/scheduler.md (added)
+++ aurora/site/source/documentation/0.16.0/development/scheduler.md Wed Sep 28 
18:23:53 2016
@@ -0,0 +1,118 @@
+Developing the Aurora Scheduler
+===============================
+
+The Aurora scheduler is written in Java code and built with 
[Gradle](http://gradle.org).
+
+
+Prerequisite
+============
+
+When using Apache Aurora checked out from the source repository or the binary
+distribution, the Gradle wrapper and JavaScript dependencies are provided.
+However, you need to manually install them when using the source release
+downloads:
+
+1. Install Gradle following the instructions on the [Gradle web 
site](http://gradle.org)
+2. From the root directory of the Apache Aurora project generate the Gradle
+wrapper by running:
+
+    gradle wrapper
+
+
+Getting Started
+===============
+
+You will need Java 8 installed and on your `PATH` or unzipped somewhere with 
`JAVA_HOME` set. Then
+
+    ./gradlew tasks
+
+will bootstrap the build system and show available tasks. This can take a 
while the first time you
+run it but subsequent runs will be much faster due to cached artifacts.
+
+Running the Tests
+-----------------
+Aurora has a comprehensive unit test suite. To run the tests use
+
+    ./gradlew build
+
+Gradle will only re-run tests when dependencies of them have changed. To force 
a re-run of all
+tests use
+
+    ./gradlew clean build
+
+Running the build with code quality checks
+------------------------------------------
+To speed up development iteration, the plain gradle commands will not run 
static analysis tools.
+However, you should run these before posting a review diff, and **always** run 
this before pushing a
+commit to origin/master.
+
+    ./gradlew build -Pq
+
+Running integration tests
+-------------------------
+To run the same tests that are run in the Apache Aurora continuous integration
+environment:
+
+    ./build-support/jenkins/build.sh
+
+In addition, there is an end-to-end test that runs a suite of aurora commands
+using a virtual cluster:
+
+    ./src/test/sh/org/apache/aurora/e2e/test_end_to_end.sh
+
+Creating a bundle for deployment
+--------------------------------
+Gradle can create a zip file containing Aurora, all of its dependencies, and a 
launch script with
+
+    ./gradlew distZip
+
+or a tar file containing the same files with
+
+    ./gradlew distTar
+
+The output file will be written to `dist/distributions/aurora-scheduler.zip` or
+`dist/distributions/aurora-scheduler.tar`.
+
+
+
+Developing Aurora Java code
+===========================
+
+Setting up an IDE
+-----------------
+Gradle can generate project files for your IDE. To generate an IntelliJ IDEA 
project run
+
+    ./gradlew idea
+
+and import the generated `aurora.ipr` file.
+
+Adding or Upgrading a Dependency
+--------------------------------
+New dependencies can be added from Maven central by adding a `compile` 
dependency to `build.gradle`.
+For example, to add a dependency on `com.example`'s `example-lib` 1.0 add this 
block:
+
+    compile 'com.example:example-lib:1.0'
+
+NOTE: Anyone thinking about adding a new dependency should first familiarize 
themselves with the
+Apache Foundation's third-party licensing
+[policy](http://www.apache.org/legal/resolved.html#category-x).
+
+
+
+Developing the Aurora Build System
+==================================
+
+Bootstrapping Gradle
+--------------------
+The following files were autogenerated by `gradle wrapper` using gradle's
+[Wrapper](http://www.gradle.org/docs/current/dsl/org.gradle.api.tasks.wrapper.Wrapper.html)
 plugin and
+should not be modified directly:
+
+    ./gradlew
+    ./gradlew.bat
+    ./gradle/wrapper/gradle-wrapper.jar
+    ./gradle/wrapper/gradle-wrapper.properties
+
+To upgrade Gradle unpack the new version somewhere, run `/path/to/new/gradle 
wrapper` in the
+repository root and commit the changed files.
+

Added: aurora/site/source/documentation/0.16.0/development/thermos.md
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==============================================================================
--- aurora/site/source/documentation/0.16.0/development/thermos.md (added)
+++ aurora/site/source/documentation/0.16.0/development/thermos.md Wed Sep 28 
18:23:53 2016
@@ -0,0 +1,126 @@
+The Python components of Aurora are built using 
[Pants](https://pantsbuild.github.io).
+
+
+Python Build Conventions
+========================
+The Python code is laid out according to the following conventions:
+
+1. 1 `BUILD` per 3rd level directory. For a list of current top-level packages 
run:
+
+        % find src/main/python -maxdepth 3 -mindepth 3 -type d |\
+        while read dname; do echo $dname |\
+            sed 's@src/main/python/\(.*\)/\(.*\)/\(.*\).*@\1.\2.\3@'; done
+
+2.  Each `BUILD` file exports 1
+    
[`python_library`](https://pantsbuild.github.io/build_dictionary.html#bdict_python_library)
+    that provides a
+    [`setup_py`](https://pantsbuild.github.io/build_dictionary.html#setup_py)
+    containing each
+    
[`python_binary`](https://pantsbuild.github.io/build_dictionary.html#python_binary)
+    in the `BUILD` file, named the same as the directory it's in so that it 
can be referenced
+    without a ':' character. The `sources` field in the `python_library` will 
almost always be
+    `rglobs('*.py')`.
+
+3.  Other BUILD files may only depend on this single public `python_library`
+    target. Any other target is considered a private implementation detail and
+    should be prefixed with an `_`.
+
+4.  `python_binary` targets are always named the same as the exported console 
script.
+
+5.  `python_binary` targets must have identical `dependencies` to the 
`python_library` exported
+    by the package and must use `entry_point`.
+
+    The means a PEX file generated by pants will contain exactly the same 
files that will be
+    available on the `PYTHONPATH` in the case of `pip install` of the 
corresponding library
+    target. This will help our migration off of Pants in the future.
+
+Annotated example - apache.thermos.runner
+-----------------------------------------
+
+    % find src/main/python/apache/thermos/runner
+    src/main/python/apache/thermos/runner
+    src/main/python/apache/thermos/runner/__init__.py
+    src/main/python/apache/thermos/runner/thermos_runner.py
+    src/main/python/apache/thermos/runner/BUILD
+    % cat src/main/python/apache/thermos/runner/BUILD
+    # License boilerplate omitted
+    import os
+
+
+    # Private target so that a setup_py can exist without a circular 
dependency. Only targets within
+    # this file should depend on this.
+    python_library(
+      name = '_runner',
+      # The target covers every python file under this directory and 
subdirectories.
+      sources = rglobs('*.py'),
+      dependencies = [
+        '3rdparty/python:twitter.common.app',
+        '3rdparty/python:twitter.common.log',
+        # Source dependencies are always referenced without a ':'.
+        'src/main/python/apache/thermos/common',
+        'src/main/python/apache/thermos/config',
+        'src/main/python/apache/thermos/core',
+      ],
+    )
+
+    # Binary target for thermos_runner.pex. Nothing should depend on this - 
it's only used as an
+    # argument to ./pants binary.
+    python_binary(
+      name = 'thermos_runner',
+      # Use entry_point, not source so the files used here are the same ones 
tests see.
+      entry_point = 'apache.thermos.bin.thermos_runner',
+      dependencies = [
+        # Notice that we depend only on the single private target from this 
BUILD file here.
+        ':_runner',
+      ],
+    )
+
+    # The public library that everyone importing the runner symbols uses.
+    # The test targets and any other dependent source code should depend on 
this.
+    python_library(
+      name = 'runner',
+      dependencies = [
+        # Again, notice that we depend only on the single private target from 
this BUILD file here.
+        ':_runner',
+      ],
+      # We always provide a setup_py. This will cause any dependee libraries 
to automatically
+      # reference this library in their requirements.txt rather than copy the 
source files into their
+      # sdist.
+      provides = setup_py(
+        # Conventionally named and versioned.
+        name = 'apache.thermos.runner',
+        version = open(os.path.join(get_buildroot(), 
'.auroraversion')).read().strip().upper(),
+      ).with_binaries({
+        # Every binary in this file should also be repeated here.
+        # Always use the dict-form of .with_binaries so that commands with 
dashes in their names are
+        # supported.
+        # The console script name is always the same as the PEX with .pex 
stripped.
+        'thermos_runner': ':thermos_runner',
+      }),
+    )
+
+
+
+Thermos Test resources
+======================
+
+The Aurora source repository and distributions contain several
+[binary files](../../src/test/resources/org/apache/thermos/root/checkpoints) to
+qualify the backwards-compatibility of thermos with checkpoint data. Since
+thermos persists state to disk, to be read by the thermos observer), it is 
important that we have
+tests that prevent regressions affecting the ability to parse 
previously-written data.
+
+The files included represent persisted checkpoints that exercise different
+features of thermos. The existing files should not be modified unless
+we are accepting backwards incompatibility, such as with a major release.
+
+It is not practical to write source code to generate these files on the fly,
+as source would be vulnerable to drift (e.g. due to refactoring) in ways
+that would undermine the goal of ensuring backwards compatibility.
+
+The most common reason to add a new checkpoint file would be to provide
+coverage for new thermos features that alter the data format. This is
+accomplished by writing and running a
+[job configuration](../../reference/configuration/) that exercises the 
feature, and
+copying the checkpoint file from the sandbox directory, by default this is
+`/var/run/thermos/checkpoints/<aurora task id>`.

Added: aurora/site/source/documentation/0.16.0/development/thrift.md
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--- aurora/site/source/documentation/0.16.0/development/thrift.md (added)
+++ aurora/site/source/documentation/0.16.0/development/thrift.md Wed Sep 28 
18:23:53 2016
@@ -0,0 +1,54 @@
+Thrift
+======
+
+Aurora uses [Apache Thrift](https://thrift.apache.org/) for representing 
structured data in
+client/server RPC protocol as well as for internal data storage. While Thrift 
is capable of
+correctly handling additions and renames of the existing members, field 
removals must be done
+carefully to ensure backwards compatibility and provide predictable 
deprecation cycle. This
+document describes general guidelines for making Thrift schema changes to the 
existing fields in
+[api.thrift](https://github.com/apache/aurora/blob/rel/0.16.0/api/src/main/thrift/org/apache/aurora/gen/api.thrift).
+
+It is highly recommended to go through the
+[Thrift: The Missing 
Guide](http://diwakergupta.github.io/thrift-missing-guide/) first to refresh on
+basic Thrift schema concepts.
+
+Checklist
+---------
+Every existing Thrift schema modification is unique in its requirements and 
must be analyzed
+carefully to identify its scope and expected consequences. The following 
checklist may help in that
+analysis:
+* Is this a new field/struct? If yes, go ahead
+* Is this a pure field/struct rename without any type/structure change? If 
yes, go ahead and rename
+* Anything else, read further to make sure your change is properly planned
+
+Deprecation cycle
+-----------------
+Any time a breaking change (e.g.: field replacement or removal) is required, 
the following cycle
+must be followed:
+
+### vCurrent
+Change is applied in a way that does not break scheduler/client with this 
version to
+communicate with scheduler/client from vCurrent-1.
+* Do not remove or rename the old field
+* Add a new field as an eventual replacement of the old one and implement a 
dual read/write
+anywhere the old field is used. If a thrift struct is mapped in the DB store 
make sure both columns
+are marked as `NOT NULL`
+* Check 
[storage.thrift](https://github.com/apache/aurora/blob/rel/0.16.0/api/src/main/thrift/org/apache/aurora/gen/storage.thrift)
 to see if
+the affected struct is stored in Aurora scheduler storage. If so, it's almost 
certainly also
+necessary to perform a [DB migration](../db-migration/).
+* Add a deprecation jira ticket into the vCurrent+1 release candidate
+* Add a TODO for the deprecated field mentioning the jira ticket
+
+### vCurrent+1
+Finalize the change by removing the deprecated fields from the Thrift schema.
+* Drop any dual read/write routines added in the previous version
+* Remove thrift backfilling in scheduler
+* Remove the deprecated Thrift field
+
+Testing
+-------
+It's always advisable to test your changes in the local vagrant environment to 
build more
+confidence that you change is backwards compatible. It's easy to simulate 
different
+client/scheduler versions by playing with `aurorabuild` command. See [this 
document](../../getting-started/vagrant/)
+for more.
+

Added: aurora/site/source/documentation/0.16.0/development/ui.md
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--- aurora/site/source/documentation/0.16.0/development/ui.md (added)
+++ aurora/site/source/documentation/0.16.0/development/ui.md Wed Sep 28 
18:23:53 2016
@@ -0,0 +1,46 @@
+Developing the Aurora Scheduler UI
+==================================
+
+Installing bower (optional)
+----------------------------
+Third party JS libraries used in Aurora (located at 
3rdparty/javascript/bower_components) are
+managed by bower, a JS dependency manager. Bower is only required if you plan 
to add, remove or
+update JS libraries. Bower can be installed using the following command:
+
+    npm install -g bower
+
+Bower depends on node.js and npm. The easiest way to install node on a mac is 
via brew:
+
+    brew install node
+
+For more node.js installation options refer to 
https://github.com/joyent/node/wiki/Installation.
+
+More info on installing and using bower can be found at: http://bower.io/. 
Once installed, you can
+use the following commands to view and modify the bower repo at
+3rdparty/javascript/bower_components
+
+    bower list
+    bower install <library name>
+    bower remove <library name>
+    bower update <library name>
+    bower help
+
+
+Faster Iteration in Vagrant
+---------------------------
+The scheduler serves UI assets from the classpath. For production deployments 
this means the assets
+are served from within a jar. However, for faster development iteration, the 
vagrant image is
+configured to add the `scheduler` subtree of `/vagrant/dist/resources/main` to 
the head of
+`CLASSPATH`. This path is configured as a shared filesystem to the path on the 
host system where
+your Aurora repository lives. This means that any updates under 
`dist/resources/main/scheduler` in
+your checkout will be reflected immediately in the UI served from within the 
vagrant image.
+
+The one caveat to this is that this path is under `dist` not `src`. This is 
because the assets must
+be processed by gradle before they can be served. So, unfortunately, you 
cannot just save your local
+changes and see them reflected in the UI, you must first run `./gradlew 
processResources`. This is
+less than ideal, but better than having to restart the scheduler after every 
change. Additionally,
+gradle makes this process somewhat easier with the use of the `--continuous` 
flag. If you run:
+`./gradlew processResources --continuous` gradle will monitor the filesystem 
for changes and run the
+task automatically as necessary. This doesn't quite provide hot-reload 
capabilities, but it does
+allow for <5s from save to changes being visibile in the UI with no further 
action required on the
+part of the developer.

Added: aurora/site/source/documentation/0.16.0/features/constraints.md
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--- aurora/site/source/documentation/0.16.0/features/constraints.md (added)
+++ aurora/site/source/documentation/0.16.0/features/constraints.md Wed Sep 28 
18:23:53 2016
@@ -0,0 +1,126 @@
+Scheduling Constraints
+======================
+
+By default, Aurora will pick any random agent with sufficient resources
+in order to schedule a task. This scheduling choice can be further
+restricted with the help of constraints.
+
+
+Mesos Attributes
+----------------
+
+Data centers are often organized with hierarchical failure domains.  Common 
failure domains
+include hosts, racks, rows, and PDUs.  If you have this information available, 
it is wise to tag
+the Mesos agent with them as
+[attributes](https://mesos.apache.org/documentation/attributes-resources/).
+
+The Mesos agent `--attributes` command line argument can be used to mark 
agents with
+static key/value pairs, so called attributes (not to be confused with 
`--resources`, which are
+dynamic and accounted).
+
+For example, consider the host `cluster1-aaa-03-sr2` and its following 
attributes (given in
+key:value format): `host:cluster1-aaa-03-sr2` and `rack:aaa`.
+
+Aurora makes these attributes available for matching with scheduling 
constraints.
+
+
+Limit Constraints
+-----------------
+
+Limit constraints allow to control machine diversity using constraints. The 
below
+constraint ensures that no more than two instances of your job may run on a 
single host.
+Think of this as a "group by" limit.
+
+    Service(
+      name = 'webservice',
+      role = 'www-data',
+      constraints = {
+        'host': 'limit:2',
+      }
+      ...
+    )
+
+
+Likewise, you can use constraints to control rack diversity, e.g. at
+most one task per rack:
+
+    constraints = {
+      'rack': 'limit:1',
+    }
+
+Use these constraints sparingly as they can dramatically reduce Tasks' 
schedulability.
+Further details are available in the reference documentation on
+[Scheduling 
Constraints](../../reference/configuration/#specifying-scheduling-constraints).
+
+
+
+Value Constraints
+-----------------
+
+Value constraints can be used to express that a certain attribute with a 
certain value
+should be present on a Mesos agent. For example, the following job would only 
be
+scheduled on nodes that claim to have an `SSD` as their disk.
+
+    Service(
+      name = 'webservice',
+      role = 'www-data',
+      constraints = {
+        'disk': 'SSD',
+      }
+      ...
+    )
+
+
+Further details are available in the reference documentation on
+[Scheduling 
Constraints](../../reference/configuration/#specifying-scheduling-constraints).
+
+
+Running stateful services
+-------------------------
+
+Aurora is best suited to run stateless applications, but it also accommodates 
for stateful services
+like databases, or services that otherwise need to always run on the same 
machines.
+
+### Dedicated attribute
+
+Most of the Mesos attributes arbitrary and available for custom use.  There is 
one exception,
+though: the `dedicated` attribute.  Aurora treats this specially, and only 
allows matching jobs to
+run on these machines, and will only schedule matching jobs on these machines.
+
+
+#### Syntax
+The dedicated attribute has semantic meaning. The format is `$role(/.*)?`. 
When a job is created,
+the scheduler requires that the `$role` component matches the `role` field in 
the job
+configuration, and will reject the job creation otherwise.  The remainder of 
the attribute is
+free-form. We've developed the idiom of formatting this attribute as 
`$role/$job`, but do not
+enforce this. For example: a job `devcluster/www-data/prod/hello` with a 
dedicated constraint set as
+`www-data/web.multi` will have its tasks scheduled only on Mesos agents 
configured with:
+`--attributes=dedicated:www-data/web.multi`.
+
+A wildcard (`*`) may be used for the role portion of the dedicated attribute, 
which will allow any
+owner to elect for a job to run on the host(s). For example: tasks from both
+`devcluster/www-data/prod/hello` and `devcluster/vagrant/test/hello` with a 
dedicated constraint
+formatted as `*/web.multi` will be scheduled only on Mesos agents configured 
with
+`--attributes=dedicated:*/web.multi`. This may be useful when assembling a 
virtual cluster of
+machines sharing the same set of traits or requirements.
+
+##### Example
+Consider the following agent command line:
+
+    mesos-slave --attributes="dedicated:db_team/redis" ...
+
+And this job configuration:
+
+    Service(
+      name = 'redis',
+      role = 'db_team',
+      constraints = {
+        'dedicated': 'db_team/redis'
+      }
+      ...
+    )
+
+The job configuration is indicating that it should only be scheduled on agents 
with the attribute
+`dedicated:db_team/redis`.  Additionally, Aurora will prevent any tasks that 
do _not_ have that
+constraint from running on those agents.
+

Added: aurora/site/source/documentation/0.16.0/features/containers.md
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==============================================================================
--- aurora/site/source/documentation/0.16.0/features/containers.md (added)
+++ aurora/site/source/documentation/0.16.0/features/containers.md Wed Sep 28 
18:23:53 2016
@@ -0,0 +1,106 @@
+Containers
+==========
+
+Aurora supports several containerizers, notably the Mesos containerizer and 
the Docker
+containerizer. The Mesos containerizer uses native OS features directly to 
provide isolation between
+containers, while the Docker containerizer delegates container management to 
the Docker engine.
+
+The support for launching container images via both containerizers has to be
+[enabled by a cluster operator](../../operations/configuration/#containers).
+
+Mesos Containerizer
+-------------------
+
+The Mesos containerizer is the native Mesos containerizer solution. It allows 
tasks to be
+run with an array of [pluggable isolators](../resource-isolation/) and can 
launch tasks using
+[Docker](https://github.com/docker/docker/blob/master/image/spec/v1.md) images,
+[AppC](https://github.com/appc/spec/blob/master/SPEC.md) images, or directly 
on the agent host
+filesystem.
+
+The following example (available in our [Vagrant 
environment](../../getting-started/vagrant/))
+launches a hello world example within a `debian/jessie` Docker image:
+
+    $ cat /vagrant/examples/jobs/hello_docker_image.aurora
+    hello_loop = Process(
+      name = 'hello',
+      cmdline = """
+        while true; do
+          echo hello world
+          sleep 10
+        done
+      """)
+
+    task = Task(
+      processes = [hello_loop],
+      resources = Resources(cpu=1, ram=1*MB, disk=8*MB)
+    )
+
+    jobs = [
+      Service(
+        cluster = 'devcluster',
+        environment = 'devel',
+        role = 'www-data',
+        name = 'hello_docker_image',
+        task = task,
+        container = Mesos(image=DockerImage(name='debian', tag='jessie'))
+      )
+    ]
+
+Docker and Appc images are designated using an appropriate `image` property of 
the `Mesos`
+configuration object. If either `container` or `image` is left unspecified, 
the host filesystem
+will be used. Further details of how to specify images can be found in the
+[Reference Documentation](../../reference/configuration/#mesos-object).
+
+By default, Aurora launches processes as the Linux user named like the used 
role (e.g. `www-data`
+in the example above). This user has to exist on the host filesystem. If it 
does not exist within
+the container image, it will be created automatically. Otherwise, this user 
and its primary group
+has to exist in the image with matching uid/gid.
+
+For more information on the Mesos containerizer filesystem, namespace, and 
isolator features, visit
+[Mesos 
Containerizer](http://mesos.apache.org/documentation/latest/mesos-containerizer/)
 and
+[Mesos Container 
Images](http://mesos.apache.org/documentation/latest/container-image/).
+
+
+Docker Containerizer
+--------------------
+
+The Docker containerizer launches container images using the Docker engine. It 
may often provide
+more advanced features than the native Mesos containerizer, but has to be 
installed separately to
+Mesos on each agent host,
+
+Example (available in the [Vagrant 
environment](../../getting-started/vagrant/)):
+
+    $ cat /vagrant/examples/jobs/hello_docker_engine.aurora
+    hello_loop = Process(
+      name = 'hello',
+      cmdline = """
+        while true; do
+          echo hello world
+          sleep 10
+        done
+      """)
+
+    task = Task(
+      processes = [hello_loop],
+      resources = Resources(cpu=1, ram=1*MB, disk=8*MB)
+    )
+
+    jobs = [
+      Service(
+        cluster = 'devcluster',
+        environment = 'devel',
+        role = 'www-data',
+        name = 'hello_docker',
+        task = task,
+        container = Docker(image = 'python:2.7')
+      )
+    ]
+
+Details of how to use Docker via the Docker engine can be found in the
+[Reference Documentation](../../reference/configuration/#docker-object). 
Please note that in order to
+correctly execute processes inside a job, the Docker container must have 
Python 2.7 and potentitally
+further Mesos dependencies installed. This limitation does not hold for Docker 
containers used via
+the Mesos containerizer.
+
+For more information on launching Docker containers through the Docker 
containerizer, visit
+[Docker 
Containerizer](http://mesos.apache.org/documentation/latest/docker-containerizer/)

Added: aurora/site/source/documentation/0.16.0/features/cron-jobs.md
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==============================================================================
--- aurora/site/source/documentation/0.16.0/features/cron-jobs.md (added)
+++ aurora/site/source/documentation/0.16.0/features/cron-jobs.md Wed Sep 28 
18:23:53 2016
@@ -0,0 +1,124 @@
+# Cron Jobs
+
+Aurora supports execution of scheduled jobs on a Mesos cluster using 
cron-style syntax.
+
+- [Overview](#overview)
+- [Collision Policies](#collision-policies)
+- [Failure recovery](#failure-recovery)
+- [Interacting with cron jobs via the Aurora 
CLI](#interacting-with-cron-jobs-via-the-aurora-cli)
+       - [cron schedule](#cron-schedule)
+       - [cron deschedule](#cron-deschedule)
+       - [cron start](#cron-start)
+       - [job killall, job restart, job 
kill](#job-killall-job-restart-job-kill)
+- [Technical Note About Syntax](#technical-note-about-syntax)
+- [Caveats](#caveats)
+       - [Failovers](#failovers)
+       - [Collision policy is best-effort](#collision-policy-is-best-effort)
+       - [Timezone Configuration](#timezone-configuration)
+
+## Overview
+
+A job is identified as a cron job by the presence of a
+`cron_schedule` attribute containing a cron-style schedule in the
+[`Job`](../../reference/configuration/#job-objects) object. Examples of cron 
schedules
+include "every 5 minutes" (`*/5 * * * *`), "Fridays at 17:00" (`* 17 * * 
FRI`), and
+"the 1st and 15th day of the month at 03:00" (`0 3 1,15 *`).
+
+Example (available in the [Vagrant 
environment](../../getting-started/vagrant/)):
+
+    $ cat /vagrant/examples/jobs/cron_hello_world.aurora
+    # A cron job that runs every 5 minutes.
+    jobs = [
+      Job(
+        cluster = 'devcluster',
+        role = 'www-data',
+        environment = 'test',
+        name = 'cron_hello_world',
+        cron_schedule = '*/5 * * * *',
+        task = SimpleTask(
+          'cron_hello_world',
+          'echo "Hello world from cron, the time is now $(date --rfc-822)"'),
+      ),
+    ]
+
+## Collision Policies
+
+The `cron_collision_policy` field specifies the scheduler's behavior when a 
new cron job is
+triggered while an older run hasn't finished. The scheduler has two policies 
available:
+
+* `KILL_EXISTING`: The default policy - on a collision the old instances are 
killed and a instances with the current
+configuration are started.
+* `CANCEL_NEW`: On a collision the new run is cancelled.
+
+Note that the use of `CANCEL_NEW` is likely a code smell - interrupted cron 
jobs should be able
+to recover their progress on a subsequent invocation, otherwise they risk 
having their work queue
+grow faster than they can process it.
+
+## Failure recovery
+
+Unlike with services, which aurora will always re-execute regardless of exit 
status, instances of
+cron jobs retry according to the `max_task_failures` attribute of the
+[Task](../../reference/configuration/#task-object) object. To get 
"run-until-success" semantics,
+set `max_task_failures` to `-1`.
+
+## Interacting with cron jobs via the Aurora CLI
+
+Most interaction with cron jobs takes place using the `cron` subcommand. See 
`aurora cron -h`
+for up-to-date usage instructions.
+
+### cron schedule
+Schedules a new cron job on the Aurora cluster for later runs or replaces the 
existing cron template
+with a new one. Only future runs will be affected, any existing active tasks 
are left intact.
+
+    $ aurora cron schedule devcluster/www-data/test/cron_hello_world 
/vagrant/examples/jobs/cron_hello_world.aurora
+
+### cron deschedule
+Deschedules a cron job, preventing future runs but allowing current runs to 
complete.
+
+    $ aurora cron deschedule devcluster/www-data/test/cron_hello_world
+
+### cron start
+Start a cron job immediately, outside of its normal cron schedule.
+
+    $ aurora cron start devcluster/www-data/test/cron_hello_world
+
+### job killall, job restart, job kill
+Cron jobs create instances running on the cluster that you can interact with 
like normal Aurora
+tasks with `job kill` and `job restart`.
+
+
+## Technical Note About Syntax
+
+`cron_schedule` uses a restricted subset of BSD crontab syntax. While the
+execution engine currently uses Quartz, the schedule parsing is custom, a 
subset of FreeBSD
+[crontab(5)](http://www.freebsd.org/cgi/man.cgi?crontab(5)) syntax. See
+[the 
source](https://github.com/apache/aurora/blob/master/src/main/java/org/apache/aurora/scheduler/cron/CrontabEntry.java#L106-L124)
+for details.
+
+
+## Caveats
+
+### Failovers
+No failover recovery. Aurora does not record the latest minute it fired
+triggers for across failovers. Therefore it's possible to miss triggers
+on failover. Note that this behavior may change in the future.
+
+It's necessary to sync time between schedulers with something like `ntpd`.
+Clock skew could cause double or missed triggers in the case of a failover.
+
+### Collision policy is best-effort
+Aurora aims to always have *at least one copy* of a given instance running at 
a time - it's
+an AP system, meaning it chooses Availability and Partition Tolerance at the 
expense of
+Consistency.
+
+If your collision policy was `CANCEL_NEW` and a task has terminated but
+Aurora has not noticed this Aurora will go ahead and create your new
+task.
+
+If your collision policy was `KILL_EXISTING` and a task was marked `LOST`
+but not yet GCed Aurora will go ahead and create your new task without
+attempting to kill the old one (outside the GC interval).
+
+### Timezone Configuration
+Cron timezone is configured indepdendently of JVM timezone with the 
`-cron_timezone` flag and
+defaults to UTC.

Added: aurora/site/source/documentation/0.16.0/features/custom-executors.md
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==============================================================================
--- aurora/site/source/documentation/0.16.0/features/custom-executors.md (added)
+++ aurora/site/source/documentation/0.16.0/features/custom-executors.md Wed 
Sep 28 18:23:53 2016
@@ -0,0 +1,152 @@
+Custom Executors
+================
+
+If the need arises to use a Mesos executor other than the Thermos executor, 
the scheduler can be
+configured to utilize a custom executor by specifying the 
`-custom_executor_config` flag.
+The flag must be set to the path of a valid executor configuration file.
+
+The configuration file must be a valid **JSON array** and contain, at minimum,
+one executor configuration including the name, command and resources fields and
+must be pointed to by the `-custom_executor_config` flag when the scheduler is
+started.
+
+### Array Entry
+
+Property                 | Description
+-----------------------  | ---------------------------------
+executor (required)      | Description of executor.
+task_prefix (required) ) | Prefix given to tasks launched with this executor's 
configuration.
+volume_mounts (optional) | Volumes to be mounted in container running executor.
+
+#### executor
+
+Property                 | Description
+-----------------------  | ---------------------------------
+name (required)          | Name of the executor.
+command (required)       | How to run the executor.
+resources (required)     | Overhead to use for each executor instance.
+
+#### command
+
+Property                 | Description
+-----------------------  | ---------------------------------
+value (required)         | The command to execute.
+arguments (optional)     | A list of arguments to pass to the command.
+uris (optional)          | List of resources to download into the task sandbox.
+shell (optional)         | Run executor via shell.
+
+A note on the command property (from 
[mesos.proto](https://github.com/apache/mesos/blob/master/include/mesos/mesos.proto)):
+```
+1) If 'shell == true', the command will be launched via shell
+   (i.e., /bin/sh -c 'value'). The 'value' specified will be
+   treated as the shell command. The 'arguments' will be ignored.
+2) If 'shell == false', the command will be launched by passing
+   arguments to an executable. The 'value' specified will be
+   treated as the filename of the executable. The 'arguments'
+   will be treated as the arguments to the executable. This is
+   similar to how POSIX exec families launch processes (i.e.,
+   execlp(value, arguments(0), arguments(1), ...)).
+```
+
+##### uris (list)
+* Follows the [Mesos Fetcher 
schema](http://mesos.apache.org/documentation/latest/fetcher/)
+
+Property                 | Description
+-----------------------  | ---------------------------------
+value (required)         | Path to the resource needed in the sandbox.
+executable (optional)    | Change resource to be executable via chmod.
+extract (optional)       | Extract files from packed or compressed archives 
into the sandbox.
+cache (optional)         | Use caching mechanism provided by Mesos for 
resources.
+
+#### resources (list)
+
+Property             | Description
+-------------------  | ---------------------------------
+name (required)      | Name of the resource: cpus or mem.
+type (required)      | Type of resource. Should always be SCALAR.
+scalar (required)    | Value in float for cpus or int for mem (in MBs)
+
+### volume_mounts (list)
+
+Property                  | Description
+------------------------  | ---------------------------------
+host_path (required)      | Host path to mount inside the container.
+container_path (required) | Path inside the container where `host_path` will 
be mounted.
+mode (required)           | Mode in which to mount the volume, Read-Write (RW) 
or Read-Only (RO).
+
+A sample configuration is as follows:
+```
+[
+    {
+      "executor": {
+        "name": "myExecutor",
+        "command": {
+          "value": "myExecutor.a",
+          "shell": "false",
+          "arguments": [
+            "localhost:2181",
+            "-verbose",
+            "-config myConfiguration.config"
+          ],
+          "uris": [
+            {
+              "value": "/dist/myExecutor.a",
+              "executable": true,
+              "extract": false,
+              "cache": true
+            },
+            {
+              "value": "/home/user/myConfiguration.config",
+              "executable": false,
+              "extract": false,
+              "cache": false
+            }
+          ]
+        },
+        "resources": [
+          {
+            "name": "cpus",
+            "type": "SCALAR",
+            "scalar": {
+              "value": 1.00
+            }
+          },
+          {
+            "name": "mem",
+            "type": "SCALAR",
+            "scalar": {
+              "value": 512
+            }
+          }
+        ]
+      },
+      "volume_mounts": [
+        {
+          "mode": "RO",
+          "container_path": "/path/on/container",
+          "host_path": "/path/to/host/directory"
+        },
+        {
+          "mode": "RW",
+          "container_path": "/container",
+          "host_path": "/host"
+        }
+      ],
+      "task_prefix": "my-executor-"
+    }
+]
+
+```
+
+It should be noted that if you do not use Thermos or a Thermos based executor, 
links in the scheduler's
+Web UI for tasks will not work (at least for the time being).
+Some information about launched tasks can still be accessed via the Mesos Web 
UI or via the Aurora Client.
+
+### Using a custom executor
+
+At this time, it is not currently possible create a job that runs on a custom 
executor using the default
+Aurora client. To allow the scheduler to pick the correct executor, the 
`JobConfiguration.TaskConfig.ExecutorConfig.name`
+field must be set to match the name used in the custom executor configuration 
blob. (e.g. to run a job using myExecutor,
+`JobConfiguration.TaskConfig.ExecutorConfig.name` must be set to 
`myExecutor`). While support for modifying
+this field in Pystachio created, the easiest way to launch jobs with custom 
executors is to use
+an existing custom Client such as 
[gorealis](https://github.com/rdelval/gorealis).

Added: aurora/site/source/documentation/0.16.0/features/job-updates.md
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==============================================================================
--- aurora/site/source/documentation/0.16.0/features/job-updates.md (added)
+++ aurora/site/source/documentation/0.16.0/features/job-updates.md Wed Sep 28 
18:23:53 2016
@@ -0,0 +1,111 @@
+Aurora Job Updates
+==================
+
+`Job` configurations can be updated at any point in their lifecycle.
+Usually updates are done incrementally using a process called a *rolling
+upgrade*, in which Tasks are upgraded in small groups, one group at a
+time.  Updates are done using various Aurora Client commands.
+
+
+Rolling Job Updates
+-------------------
+
+There are several sub-commands to manage job updates:
+
+    aurora update start <job key> <configuration file>
+    aurora update info <job key>
+    aurora update pause <job key>
+    aurora update resume <job key>
+    aurora update abort <job key>
+    aurora update list <cluster>
+
+When you `start` a job update, the command will return once it has sent the
+instructions to the scheduler.  At that point, you may view detailed
+progress for the update with the `info` subcommand, in addition to viewing
+graphical progress in the web browser.  You may also get a full listing of
+in-progress updates in a cluster with `list`.
+
+Once an update has been started, you can `pause` to keep the update but halt
+progress.  This can be useful for doing things like debug a  partially-updated
+job to determine whether you would like to proceed.  You can `resume` to
+proceed.
+
+You may `abort` a job update regardless of the state it is in. This will
+instruct the scheduler to completely abandon the job update and leave the job
+in the current (possibly partially-updated) state.
+
+For a configuration update, the Aurora Client calculates required changes
+by examining the current job config state and the new desired job config.
+It then starts a *rolling batched update process* by going through every batch
+and performing these operations:
+
+- If an instance is present in the scheduler but isn't in the new config,
+  then that instance is killed.
+- If an instance is not present in the scheduler but is present in
+  the new config, then the instance is created.
+- If an instance is present in both the scheduler and the new config, then
+  the client diffs both task configs. If it detects any changes, it
+  performs an instance update by killing the old config instance and adds
+  the new config instance.
+
+The Aurora client continues through the instance list until all tasks are
+updated, in `RUNNING,` and healthy for a configurable amount of time.
+If the client determines the update is not going well (a percentage of health
+checks have failed), it cancels the update.
+
+Update cancellation runs a procedure similar to the described above
+update sequence, but in reverse order. New instance configs are swapped
+with old instance configs and batch updates proceed backwards
+from the point where the update failed. E.g.; (0,1,2) (3,4,5) (6,7,
+8-FAIL) results in a rollback in order (8,7,6) (5,4,3) (2,1,0).
+
+For details how to control a job update, please see the
+[UpdateConfig](../../reference/configuration/#updateconfig-objects) 
configuration object.
+
+
+Coordinated Job Updates
+------------------------
+
+Some Aurora services may benefit from having more control over updates by 
explicitly
+acknowledging ("heartbeating") job update progress. This may be helpful for 
mission-critical
+service updates where explicit job health monitoring is vital during the 
entire job update
+lifecycle. Such job updates would rely on an external service (or a custom 
client) periodically
+pulsing an active coordinated job update via a
+[pulseJobUpdate 
RPC](https://github.com/apache/aurora/blob/rel/0.16.0/api/src/main/thrift/org/apache/aurora/gen/api.thrift).
+
+A coordinated update is defined by setting a positive
+[pulse_interval_secs](../../reference/configuration/#updateconfig-objects) 
value in job configuration
+file. If no pulses are received within specified interval the update will be 
blocked. A blocked
+update is unable to continue rolling forward (or rolling back) but retains its 
active status.
+It may only be unblocked by a fresh `pulseJobUpdate` call.
+
+NOTE: A coordinated update starts in `ROLL_FORWARD_AWAITING_PULSE` state and 
will not make any
+progress until the first pulse arrives. However, a paused update 
(`ROLL_FORWARD_PAUSED` or
+`ROLL_BACK_PAUSED`) is still considered active and upon resuming will 
immediately make progress
+provided the pulse interval has not expired.
+
+
+Canary Deployments
+------------------
+
+Canary deployments are a pattern for rolling out updates to a subset of job 
instances,
+in order to test different code versions alongside the actual production job.
+It is a risk-mitigation strategy for job owners and commonly used in a form 
where
+job instance 0 runs with a different configuration than the instances 1-N.
+
+For example, consider a job with 4 instances that each
+request 1 core of cpu, 1 GB of RAM, and 1 GB of disk space as specified
+in the configuration file `hello_world.aurora`. If you want to
+update it so it requests 2 GB of RAM instead of 1. You can create a new
+configuration file to do that called `new_hello_world.aurora` and
+issue
+
+    aurora update start <job_key_value>/0-1 new_hello_world.aurora
+
+This results in instances 0 and 1 having 1 cpu, 2 GB of RAM, and 1 GB of disk 
space,
+while instances 2 and 3 have 1 cpu, 1 GB of RAM, and 1 GB of disk space. If 
instance 3
+dies and restarts, it restarts with 1 cpu, 1 GB RAM, and 1 GB disk space.
+
+So that means there are two simultaneous task configurations for the same job
+at the same time, just valid for different ranges of instances. While this 
isn't a recommended
+pattern, it is valid and supported by the Aurora scheduler.

Added: aurora/site/source/documentation/0.16.0/features/mesos-fetcher.md
URL: 
http://svn.apache.org/viewvc/aurora/site/source/documentation/0.16.0/features/mesos-fetcher.md?rev=1762695&view=auto
==============================================================================
--- aurora/site/source/documentation/0.16.0/features/mesos-fetcher.md (added)
+++ aurora/site/source/documentation/0.16.0/features/mesos-fetcher.md Wed Sep 
28 18:23:53 2016
@@ -0,0 +1,46 @@
+Mesos Fetcher
+=============
+
+Mesos has support for downloading resources into the sandbox through the
+use of the [Mesos 
Fetcher](http://mesos.apache.org/documentation/latest/fetcher/)
+
+Aurora supports passing URIs to the Mesos Fetcher dynamically by including
+a list of URIs in job submissions.
+
+How to use
+----------
+The scheduler flag `-enable_mesos_fetcher` must be set to true.
+
+Currently only the scheduler side of this feature has been implemented
+so a modification to the existing client, or a custom Thrift client are 
required
+to make use of this feature.
+
+If using a custom Thrift client, the list of URIs must be included in 
TaskConfig
+as the `mesosFetcherUris` field.
+
+Each Mesos Fetcher URI has the following data members:
+
+|Property | Description|
+|---------|------|
+|value (required)  |Path to the resource needed in the sandbox.|
+|extract (optional)|Extract files from packed or compressed archives into the 
sandbox.|
+|cache (optional) | Use caching mechanism provided by Mesos for resources.|
+
+Note that this structure is very similar to the one provided for downloading
+resources needed for a [custom executor](../../operations/configuration/).
+
+This is because both features use the Mesos fetcher to retrieve resources into
+the sandbox. However, one, the custom executor feature, has a static set of 
URIs
+set in the server side, and the other, the Mesos Fetcher feature, is a dynamic 
set
+of URIs set at the time of job submission.
+
+Security Implications
+---------------------
+There are security implications that must be taken into account when enabling 
this feature.
+**Enabling this feature may potentially enable any job submitting user to 
perform a privilege escalation.**
+
+Until a more through solution is created, one step that has been taken to 
mitigate this issue
+is to statically mark every user submitted URI as non-executable. This is in 
contrast to the set of URIs
+set in the custom executor feature which may mark any URI as executable.
+
+If the need arises to mark a downloaded URI as executable, please consider 
using the custom executor feature.
\ No newline at end of file

Added: aurora/site/source/documentation/0.16.0/features/multitenancy.md
URL: 
http://svn.apache.org/viewvc/aurora/site/source/documentation/0.16.0/features/multitenancy.md?rev=1762695&view=auto
==============================================================================
--- aurora/site/source/documentation/0.16.0/features/multitenancy.md (added)
+++ aurora/site/source/documentation/0.16.0/features/multitenancy.md Wed Sep 28 
18:23:53 2016
@@ -0,0 +1,81 @@
+Multitenancy
+============
+
+Aurora is a multi-tenant system that can run jobs of multiple clients/tenants.
+Going beyond the [resource isolation on an individual 
host](../resource-isolation/), it is
+crucial to prevent those jobs from stepping on each others toes.
+
+
+Job Namespaces
+--------------
+
+The namespace for jobs in Aurora follows a hierarchical structure. This is 
meant to make it easier
+to differentiate between different jobs. A job key consists of four parts. The 
four parts are
+`<cluster>/<role>/<environment>/<jobname>` in that order:
+
+* Cluster refers to the name of a particular Aurora installation.
+* Role names are user accounts.
+* Environment names are namespaces.
+* Jobname is the custom name of your job.
+
+Role names correspond to user accounts. They are used for
+[authentication](../../operations/security/), as the linux user used to run 
jobs, and for the
+assignment of [quota](#preemption). If you don't know what accounts are 
available, contact your
+sysadmin.
+
+The environment component in the job key, serves as a namespace. The values for
+environment are validated in the client and the scheduler so as to allow any 
of `devel`, `test`,
+`production`, and any value matching the regular expression `staging[0-9]*`.
+
+None of the values imply any difference in the scheduling behavior. 
Conventionally, the
+"environment" is set so as to indicate a certain level of stability in the 
behavior of the job
+by ensuring that an appropriate level of testing has been performed on the 
application code. e.g.
+in the case of a typical Job, releases may progress through the following 
phases in order of
+increasing level of stability: `devel`, `test`, `staging`, `production`.
+
+
+Configuration Tiers
+-------------------
+
+Tier is a predefined bundle of task configuration options. Aurora schedules 
tasks and assigns them
+resources based on their tier assignment. The default scheduler tier 
configuration allows for
+3 tiers:
+
+ - `revocable`: The `revocable` tier requires the task to run with 
[revocable](../resource-isolation/#oversubscription)
+ resources.
+ - `preemptible`: Setting the task’s tier to `preemptible` allows for the 
possibility of that task
+ being [preempted](#preemption) by other tasks when cluster is running low on 
resources.
+ - `preferred`: The `preferred` tier prevents the task from using 
[revocable](../resource-isolation/#oversubscription)
+ resources and from being [preempted](#preemption).
+
+Since it is possible that a cluster is configured with a custom tier 
configuration, users should
+consult their cluster administrator to be informed of the tiers supported by 
the cluster. Attempts
+to schedule jobs with an unsupported tier will be rejected by the scheduler.
+
+
+Preemption
+----------
+
+In order to guarantee that important production jobs are always running, 
Aurora supports
+preemption.
+
+Let's consider we have a pending job that is candidate for scheduling but 
resource shortage pressure
+prevents this. Active tasks can become the victim of preemption, if:
+
+ - both candidate and victim are owned by the same role and the
+   [priority](../../reference/configuration/#job-objects) of a victim is lower 
than the
+   [priority](../../reference/configuration/#job-objects) of the candidate.
+ - OR a victim is a `preemptible` or `revocable` [tier](#configuration-tiers) 
task and the candidate
+   is a `preferred` [tier](#configuration-tiers) task.
+
+In other words, tasks from `preferred` 
[tier](../../reference/configuration/#job-objects) jobs may
+preempt tasks from any `preemptible` or `revocable` job. However, a 
`preferred` task may only be
+preempted by tasks from `preferred` jobs in the same role with higher 
[priority](../../reference/configuration/#job-objects).
+
+Aurora requires resource quotas for [production non-dedicated 
jobs](../../reference/configuration/#job-objects).
+Quota is enforced at the job role level and when set, defines a 
non-preemptible pool of compute resources within
+that role. All job types (service, adhoc or cron) require role resource quota 
unless a job has
+[dedicated constraint set](../constraints/#dedicated-attribute).
+
+To grant quota to a particular role in production, an operator can use the 
command
+`aurora_admin set_quota`.


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