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Use "Nomulus" name in documentation

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docs/app-engine-architecture.md
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@ -1,11 +1,13 @@
# App Engine architecture
This document contains information on the overall architecture of the Domain
Registry project as it is implemented in App Engine.
This document contains information on the overall architecture of Nomulus as
pertains to App Engine.
[TOC]
## Services
The Domain Registry contains three
Nomulus contains three
[services](https://cloud.google.com/appengine/docs/python/an-overview-of-app-engine),
which were previously called modules in earlier versions of App Engine. The
services are: default (also called front-end), backend, and tools. Each service
@ -88,10 +90,10 @@ tasks to push queues at regularly scheduled intervals, and the [MapReduce
framework](https://cloud.google.com/appengine/docs/java/dataprocessing/) adds
tasks for each phase of the MapReduce algorithm.
The Domain Registry project uses a particular pattern of paired push/pull queues
that is worth explaining in detail. Push queues are essential because App
Engine's architecture does not support long-running background processes, and so
push queues are thus the fundamental building block that allows asynchronous and
Nomulus uses a particular pattern of paired push/pull queues that is worth
explaining in detail. Push queues are essential because App Engine's
architecture does not support long-running background processes, and so push
queues are thus the fundamental building block that allows asynchronous and
background execution of code that is not in response to incoming web requests.
However, they also have limitations in that they do not allow batch processing
or grouping. That's where the pull queue comes in. Regularly scheduled tasks in
@ -99,12 +101,12 @@ the push queue will, upon execution, poll the corresponding pull queue for a
specified number of tasks and execute them in a batch. This allows the code to
execute in the background while taking advantage of batch processing.
Particulars on the task queues in use by the Domain Registry project are
specified in the `queue.xml` file. Note that many push queues have a direct
one-to-one correspondence with entries in `cron.xml` because they need to be
fanned-out on a per-TLD or other basis (see the Cron section below for more
explanation). The exact queue that a given cron task will use is passed as the
query string parameter "queue" in the url specification for the cron task.
The task queues used by Nomulus are configured in the `queue.xml` file. Note
that many push queues have a direct one-to-one correspondence with entries in
`cron.xml` because they need to be fanned-out on a per-TLD or other basis (see
the Cron section below for more explanation). The exact queue that a given cron
task will use is passed as the query string parameter "queue" in the url
specification for the cron task.
Here are the task queues in use by the system. All are push queues unless
explicitly marked as otherwise.
@ -159,9 +161,9 @@ explicitly marked as otherwise.
* `load[0-9]` -- Queues used to load-test the system by `LoadTestAction`.
These queues don't need to exist except when actively running load tests
(which is not recommended on production environments). There are ten of
these queues to provide simple sharding, because the Domain Registry system
is capable of handling significantly more Queries Per Second than the
highest throttle limit available on task queues (which is 500 qps).
these queues to provide simple sharding, because Nomulus is capable of
handling significantly more Queries Per Second than the highest throttle
limit available on task queues (which is 500 qps).
* `lordn-claims` and `lordn-sunrise` -- Pull queues for handling LORDN
exports. Tasks are enqueued synchronously during EPP commands depending on
whether the domain name in question has a claims notice ID.
@ -184,10 +186,10 @@ explicitly marked as otherwise.
## Environments
The domain registry codebase comes pre-configured with support for a number of
different environments, all of which are used in Google's registry system. Other
registry operators may choose to user more or fewer environments, depending on
their needs.
Nomulus comes pre-configured with support for a number of different
environments, all of which are used in Google's registry system. Other registry
operators may choose to user more or fewer environments, depending on their
needs.
The different environments are specified in `RegistryEnvironment`. Most
correspond to a separate App Engine app except for `UNITTEST` and `LOCAL`, which
@ -202,8 +204,8 @@ The full list of environments supported out-of-the-box, in descending order from
real to not, is:
* `PRODUCTION` -- The real production environment that is actually running
live TLDs. Since the Domain Registry is a shared registry platform, there
need only ever be one of these.
live TLDs. Since Nomulus is a shared registry platform, there need only ever
be one of these.
* `SANDBOX` -- A playground environment for external users to test commands in
without the possibility of affecting production data. This is the
environment new registrars go through
@ -287,7 +289,7 @@ cron.xml is:
## Cloud Datastore
The Domain Registry platform uses [Cloud
Nomulus uses [Cloud
Datastore](https://cloud.google.com/appengine/docs/java/datastore/) as its
primary database. Cloud Datastore is a NoSQL document database that provides
automatic horizontal scaling, high performance, and high availability. All
@ -388,15 +390,14 @@ registry codebase:
## Cloud Storage buckets
The Domain Registry platform uses [Cloud
Storage](https://cloud.google.com/storage/) for bulk storage of large flat files
that aren't suitable for Datastore. These files include backups, RDE exports,
Datastore snapshots (for ingestion into BigQuery), and reports. Each bucket name
must be unique across all of Google Cloud Storage, so we use the common
recommended pattern of prefixing all buckets with the name of the App Engine app
(which is itself globally unique). Most of the bucket names are configurable,
but the defaults are as follows, with PROJECT standing in as a placeholder for
the App Engine app name:
Nomulus uses [Cloud Storage](https://cloud.google.com/storage/) for bulk storage
of large flat files that aren't suitable for Datastore. These files include
backups, RDE exports, Datastore snapshots (for ingestion into BigQuery), and
reports. Each bucket name must be unique across all of Google Cloud Storage, so
we use the common recommended pattern of prefixing all buckets with the name of
the App Engine app (which is itself globally unique). Most of the bucket names
are configurable, but the defaults are as follows, with PROJECT standing in as a
placeholder for the App Engine app name:
* `PROJECT-billing` -- Monthly invoice files for each registrar.
* `PROJECT-commits` -- Daily exports of commit logs that are needed for