celery.imports = kallithea.lib.celerylib.tasks

celery.result.backend = amqp

celery.result.dburi = amqp://

celery.result.serialier = json

#celery.send.task.error.emails = true

#celery.amqp.task.result.expires = 18000

celeryd.concurrency = 2

#celeryd.log.file = celeryd.log

celeryd.log.level = DEBUG

celeryd.max.tasks.per.child = 1

## tasks will never be sent to the queue, but executed locally instead.

celery.always.eager = false

####################################

###         BEAKER CACHE        ####

####################################

beaker.cache.data_dir = %(here)s/data/cache/data

beaker.cache.lock_dir = %(here)s/data/cache/lock

beaker.cache.short_term.type = memory

beaker.cache.short_term.expire = 60

beaker.cache.short_term.key_length = 256

beaker.cache.long_term.type = memory

beaker.cache.long_term.expire = 36000

beaker.cache.long_term.key_length = 256

beaker.cache.sql_cache_short.type = memory

beaker.cache.sql_cache_short.expire = 10

beaker.cache.sql_cache_short.key_length = 256

####################################

###       BEAKER SESSION        ####

####################################

## Type of storage used for the session, current types are

## dbm, file, memcached, database, and memory.

## The storage uses the Container API

## that is also used by the cache system.

## db session ##

#beaker.session.type = ext:database

#beaker.session.sa.url = postgresql://postgres:qwe@localhost/kallithea

#beaker.session.table_name = db_session

## encrypted cookie client side session, good for many instances ##

#beaker.session.type = cookie

## file based cookies (default) ##

#beaker.session.type = file

## beaker.session.key should be unique for a given host, even when running

## on different ports. Otherwise, cookie sessions will be shared and messed up.

beaker.session.key = kallithea

beaker.session.secret = development-not-secret

.. _performance:

================================

Optimizing Kallithea Performance

================================

When serving a large amount of big repositories, Kallithea can start

performing slower than expected. Because of the demanding nature of handling large

amounts of data from version control systems, here are some tips on how to get

the best performance.

* Kallithea will perform better on machines with faster disks (SSD/SAN). It's

  more important to have a faster disk than a faster CPU.

* Slowness on initial page can be easily fixed by grouping repositories, and/or

  increasing cache size (see below). This includes using the lightweight dashboard

  option and ``vcs_full_cache`` setting in .ini file

Follow these few steps to improve performance of Kallithea system.

1. Increase cache

2. Switch from sqlite to postgres or mysql

    sqlite is a good option when having a small load on the system. But due to

    locking issues with sqlite, it is not recommended to use it for larger

    deployments. Switching to mysql or postgres will result in an immediate

    performance increase. A tool like SQLAlchemyGrate_ can be used for

    migrating to another database platform.

3. Scale Kallithea horizontally

    Scaling horizontally can give huge performance increases when dealing with

    large traffic (large amount of users, CI servers etc). Kallithea can be

    scaled horizontally on one (recommended) or multiple machines. In order

    to scale horizontally you need to do the following:

    - Each instance needs its own .ini file and unique ``instance_id`` set.

    - Each instance's ``data`` storage needs to be configured to be stored on a

      shared disk storage, preferably together with repositories. This ``data``

      dir contains template caches, sessions, whoosh index and is used for

      task locking (so it is safe across multiple instances). Set the

      ``cache_dir``, ``index_dir``, ``beaker.cache.data_dir``, ``beaker.cache.lock_dir``

      variables in each .ini file to a shared location across Kallithea instances

    - If celery is used each instance should run a separate Celery instance, but

celery.imports = kallithea.lib.celerylib.tasks

celery.result.backend = amqp

celery.result.dburi = amqp://

celery.result.serialier = json

#celery.send.task.error.emails = true

#celery.amqp.task.result.expires = 18000

celeryd.concurrency = 2

#celeryd.log.file = celeryd.log

celeryd.log.level = DEBUG

celeryd.max.tasks.per.child = 1

<%text>## tasks will never be sent to the queue, but executed locally instead.</%text>

celery.always.eager = false

<%text>####################################</%text>

<%text>###         BEAKER CACHE        ####</%text>

<%text>####################################</%text>

beaker.cache.data_dir = ${here}/data/cache/data

beaker.cache.lock_dir = ${here}/data/cache/lock

beaker.cache.short_term.type = memory

beaker.cache.short_term.expire = 60

beaker.cache.short_term.key_length = 256

beaker.cache.long_term.type = memory

beaker.cache.long_term.expire = 36000

beaker.cache.long_term.key_length = 256

beaker.cache.sql_cache_short.type = memory

beaker.cache.sql_cache_short.expire = 10

beaker.cache.sql_cache_short.key_length = 256

<%text>####################################</%text>

<%text>###       BEAKER SESSION        ####</%text>

<%text>####################################</%text>

<%text>## Type of storage used for the session, current types are</%text>

<%text>## dbm, file, memcached, database, and memory.</%text>

<%text>## The storage uses the Container API</%text>

<%text>## that is also used by the cache system.</%text>

<%text>## db session ##</%text>

#beaker.session.type = ext:database

#beaker.session.sa.url = postgresql://postgres:qwe@localhost/kallithea

#beaker.session.table_name = db_session

<%text>## encrypted cookie client side session, good for many instances ##</%text>

#beaker.session.type = cookie

<%text>## file based cookies (default) ##</%text>

#beaker.session.type = file

<%text>## beaker.session.key should be unique for a given host, even when running</%text>

<%text>## on different ports. Otherwise, cookie sessions will be shared and messed up.</%text>

beaker.session.key = kallithea

beaker.session.secret = ${uuid()}

celery.imports = kallithea.lib.celerylib.tasks

celery.result.backend = amqp

celery.result.dburi = amqp://

celery.result.serialier = json

#celery.send.task.error.emails = true

#celery.amqp.task.result.expires = 18000

celeryd.concurrency = 2

#celeryd.log.file = celeryd.log

celeryd.log.level = DEBUG

celeryd.max.tasks.per.child = 1

## tasks will never be sent to the queue, but executed locally instead.

celery.always.eager = false

####################################

###         BEAKER CACHE        ####

####################################

beaker.cache.data_dir = %(here)s/data/cache/data

beaker.cache.lock_dir = %(here)s/data/cache/lock

beaker.cache.short_term.type = memory

beaker.cache.short_term.expire = 60

beaker.cache.short_term.key_length = 256

beaker.cache.long_term.type = memory

beaker.cache.long_term.expire = 36000

beaker.cache.long_term.key_length = 256

beaker.cache.sql_cache_short.type = memory

beaker.cache.sql_cache_short.expire = 10

beaker.cache.sql_cache_short.key_length = 256

####################################

###       BEAKER SESSION        ####

####################################

## Type of storage used for the session, current types are

## dbm, file, memcached, database, and memory.

## The storage uses the Container API

## that is also used by the cache system.

## db session ##

#beaker.session.type = ext:database

#beaker.session.sa.url = postgresql://postgres:qwe@localhost/kallithea

#beaker.session.table_name = db_session

## encrypted cookie client side session, good for many instances ##

#beaker.session.type = cookie

## file based cookies (default) ##

#beaker.session.type = file

## beaker.session.key should be unique for a given host, even when running

## on different ports. Otherwise, cookie sessions will be shared and messed up.

beaker.session.key = kallithea

beaker.session.secret = ${app_instance_uuid}

celery.imports = kallithea.lib.celerylib.tasks

celery.result.backend = amqp

celery.result.dburi = amqp://

celery.result.serialier = json

#celery.send.task.error.emails = true

#celery.amqp.task.result.expires = 18000

celeryd.concurrency = 2

#celeryd.log.file = celeryd.log

celeryd.log.level = DEBUG

celeryd.max.tasks.per.child = 1

## tasks will never be sent to the queue, but executed locally instead.

celery.always.eager = false

####################################

###         BEAKER CACHE        ####

####################################

beaker.cache.data_dir = %(here)s/data/cache/data

beaker.cache.lock_dir = %(here)s/data/cache/lock

beaker.cache.short_term.type = memory

beaker.cache.short_term.expire = 60

beaker.cache.short_term.key_length = 256

beaker.cache.long_term.type = memory

beaker.cache.long_term.expire = 36000

beaker.cache.long_term.key_length = 256

beaker.cache.sql_cache_short.type = memory

beaker.cache.sql_cache_short.expire = 1

beaker.cache.sql_cache_short.key_length = 256

####################################

###       BEAKER SESSION        ####

####################################

## Type of storage used for the session, current types are

## dbm, file, memcached, database, and memory.

## The storage uses the Container API

## that is also used by the cache system.

## db session ##

#beaker.session.type = ext:database

#beaker.session.sa.url = postgresql://postgres:qwe@localhost/kallithea

#beaker.session.table_name = db_session

## encrypted cookie client side session, good for many instances ##

#beaker.session.type = cookie

## file based cookies (default) ##

#beaker.session.type = file

## beaker.session.key should be unique for a given host, even when running

## on different ports. Otherwise, cookie sessions will be shared and messed up.

beaker.session.key = kallithea

beaker.session.secret = {74e0cd75-b339-478b-b129-07dd221def1f}