Source and binary distributions can be found on our downloads page. Installing from binary packages is recommended for most.
If our binay packages don’t suite you, our package build toolchain makes it easy to build your own packages. See the instructions to learn how.
Given that many of these components communicate over the network, there are numerous ways you could assemble them to create an Aurora cluster. The simplest way is to think in terms of three machine profiles:
Components: ZooKeeper, Aurora scheduler, Mesos master
A small number of machines (typically 3 or 5) responsible for cluster orchestration. In most cases it is fine to co-locate these components in anything but very large clusters (> 1000 machines). Beyond that point, operators will likely want to manage these services on separate machines. In particular, you will want to use separate ZooKeeper ensembles for leader election and service discovery. Otherwise a service discovery error or outage can take down the entire cluster.
In practice, 5 coordinators have been shown to reliably manage clusters with tens of thousands of machines.
Components: Aurora executor, Aurora observer, Mesos agent
The bulk of the cluster, where services will actually run.
Components: Aurora client, Aurora admin client
Any machines that users submit jobs from.
Install Mesos Skip down to install mesos, then run:
sudo start mesos-master
Install ZooKeeper
sudo apt-get install -y zookeeperd
Install the Aurora scheduler
sudo add-apt-repository -y ppa:openjdk-r/ppa
sudo apt-get update
sudo apt-get install -y openjdk-8-jre-headless wget
sudo update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
wget -c https://apache.bintray.com/aurora/ubuntu-trusty/aurora-scheduler_0.17.0_amd64.deb
sudo dpkg -i aurora-scheduler_0.17.0_amd64.deb
Install Mesos Skip down to install mesos, then run:
sudo systemctl start mesos-master
Install ZooKeeper
sudo rpm -Uvh https://archive.cloudera.com/cdh4/one-click-install/redhat/6/x86_64/cloudera-cdh-4-0.x86_64.rpm
sudo yum install -y java-1.8.0-openjdk-headless zookeeper-server
sudo service zookeeper-server init
sudo systemctl start zookeeper-server
Install the Aurora scheduler
sudo yum install -y wget
wget -c https://apache.bintray.com/aurora/centos-7/aurora-scheduler-0.17.0-1.el7.centos.aurora.x86_64.rpm
sudo yum install -y aurora-scheduler-0.17.0-1.el7.centos.aurora.x86_64.rpm
By default, the scheduler will start in an uninitialized mode. This is because external coordination is necessary to be certain operator error does not result in a quorum of schedulers starting up and believing their databases are empty when in fact they should be re-joining a cluster.
Because of this, a fresh install of the scheduler will need intervention to start up. First,
stop the scheduler service.
Ubuntu: sudo stop aurora-scheduler
CentOS: sudo systemctl stop aurora
Now initialize the database:
sudo -u aurora mkdir -p /var/lib/aurora/scheduler/db
sudo -u aurora mesos-log initialize --path=/var/lib/aurora/scheduler/db
Now you can start the scheduler back up.
Ubuntu: sudo start aurora-scheduler
CentOS: sudo systemctl start aurora
Install Mesos Skip down to install mesos, then run:
start mesos-slave
Install Aurora executor and observer
sudo apt-get install -y python2.7 wget
# NOTE: This appears to be a missing dependency of the mesos deb package and is needed
# for the python mesos native bindings.
sudo apt-get -y install libcurl4-nss-dev
wget -c https://apache.bintray.com/aurora/ubuntu-trusty/aurora-executor_0.17.0_amd64.deb
sudo dpkg -i aurora-executor_0.17.0_amd64.deb
Install Mesos Skip down to install mesos, then run:
sudo systemctl start mesos-slave
Install Aurora executor and observer
sudo yum install -y python2 wget
wget -c https://apache.bintray.com/aurora/centos-7/aurora-executor-0.17.0-1.el7.centos.aurora.x86_64.rpm
sudo yum install -y aurora-executor-0.17.0-1.el7.centos.aurora.x86_64.rpm
The executor typically does not require configuration. Command line arguments can be passed to the executor using a command line argument on the scheduler.
The observer needs to be configured to look at the correct mesos directory in order to find task
sandboxes. You should 1st find the Mesos working directory by looking for the Mesos agent
--work_dir flag. You should see something like:
ps -eocmd | grep "mesos-slave" | grep -v grep | tr ' ' '\n' | grep "\--work_dir"
--work_dir=/var/lib/mesos
If the flag is not set, you can view the default value like so:
mesos-slave --help
Usage: mesos-slave [options]
...
--work_dir=VALUE Directory path to place framework work directories
(default: /tmp/mesos)
...
The value you find for --work_dir, /var/lib/mesos in this example, should match the Aurora
observer value for --mesos-root. You can look for that setting in a similar way on a worker
node by grepping for thermos_observer and --mesos-root. If the flag is not set, you can view
the default value like so:
thermos_observer -h
Options:
...
--mesos-root=MESOS_ROOT
The mesos root directory to search for Thermos
executor sandboxes [default: /var/lib/mesos]
...
In this case the default is /var/lib/mesos and we have a match. If there is no match, you can
either adjust the mesos-master start script(s) and restart the master(s) or else adjust the
Aurora observer start scripts and restart the observers. To adjust the Aurora observer:
sudo sh -c 'echo "MESOS_ROOT=/tmp/mesos" >> /etc/default/thermos'
Make an edit to add the --mesos-root flag resulting in something like:
grep -A5 OBSERVER_ARGS /etc/sysconfig/thermos
OBSERVER_ARGS=(
--port=1338
--mesos-root=/tmp/mesos
--log_to_disk=NONE
--log_to_stderr=google:INFO
)
sudo apt-get install -y python2.7 wget
wget -c https://apache.bintray.com/aurora/ubuntu-trusty/aurora-tools_0.17.0_amd64.deb
sudo dpkg -i aurora-tools_0.17.0_amd64.deb
sudo yum install -y python2 wget
wget -c https://apache.bintray.com/aurora/centos-7/aurora-tools-0.17.0-1.el7.centos.aurora.x86_64.rpm
sudo yum install -y aurora-tools-0.17.0-1.el7.centos.aurora.x86_64.rpm
brew upgrade
brew install aurora-cli
Client configuration lives in a json file that describes the clusters available and how to reach
them. By default this file is at /etc/aurora/clusters.json.
Jobs may be submitted to the scheduler using the client, and are described with
job configurations expressed in .aurora files. Typically you will
maintain a single job configuration file to describe one or more deployment environments (e.g.
dev, test, prod) for a production job.
Mesos uses a single package for the Mesos master and agent. As a result, the package dependencies are identical for both.
sudo apt-key adv --keyserver keyserver.ubuntu.com --recv E56151BF
DISTRO=$(lsb_release -is | tr '[:upper:]' '[:lower:]')
CODENAME=$(lsb_release -cs)
echo "deb http://repos.mesosphere.io/${DISTRO} ${CODENAME} main" | \
sudo tee /etc/apt/sources.list.d/mesosphere.list
sudo apt-get -y update
# Use `apt-cache showpkg mesos | grep [version]` to find the exact version.
sudo apt-get -y install mesos=1.1.0-2.0.107.ubuntu1404_amd64.deb
sudo rpm -Uvh https://repos.mesosphere.io/el/7/noarch/RPMS/mesosphere-el-repo-7-1.noarch.rpm
sudo yum -y install mesos-1.1.0
So you’ve started your first cluster and are running into some issues? We’ve collected some common stumbling blocks and solutions in our Troubleshooting guide to help get you moving.