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This page outlines the steps for getting a Storm cluster up and running.

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If you run into difficulties with your Storm cluster, first check for a solution is in the Troubleshooting page. Otherwise, email the mailing list.

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Here's a summary of the steps for setting up a Storm cluster:

1. Set up a Zookeeper cluster
2. Install dependencies on Nimbus and worker machines
3. Download and extract a Storm release to Nimbus and worker machines
4. Fill in mandatory configurations into storm.yaml
5. Launch daemons under supervision using 'storm' script and a supervisor of your choice
6. Setup DRPC servers (Optional)

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Set up a Zookeeper cluster

Storm uses Zookeeper for coordinating the cluster. Zookeeper is not used for message passing, so the load Storm places on Zookeeper is quite low. Single node Zookeeper clusters should be sufficient for most cases, but if you want failover or are deploying large Storm clusters you may want larger Zookeeper clusters. Instructions for deploying Zookeeper are here.

A few notes about Zookeeper deployment:

1. It's critical that you run Zookeeper under supervision, since Zookeeper is fail-fast and will exit the process if it encounters any error case. See here for more details.
2. It's critical that you set up a cron to compact Zookeeper's data and transaction logs. The Zookeeper daemon does not do this on its own, and if you don't set up a cron, Zookeeper will quickly run out of disk space. See here for more details.

Install dependencies on Nimbus and worker machines

Next you need to install Storm's dependencies on Nimbus and the worker machines. These are:

1. Java 8+ (Apache Storm 2.x is tested through travis ci against a java 8 JDK)
2. Python 2.7.x or Python 3.x

These are the versions of the dependencies that have been tested with Storm. Storm may or may not work with different versions of Java and/or Python.

Download and extract a Storm release to Nimbus and worker machines

Next, download a Storm release and extract the zip file somewhere on Nimbus and each of the worker machines. The Storm releases can be downloaded from here.

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Fill in mandatory configurations into storm.yaml

The Storm release contains a file at conf/storm.yaml that configures the Storm daemons. You can see the default configuration values here. storm.yaml overrides anything in defaults.yaml. There's a few configurations that are mandatory to get a working cluster:

1) storm.zookeeper.servers: This is a list of the hosts in the Zookeeper cluster for your Storm cluster. It should look something like:

If the port that your Zookeeper cluster uses is different than the default, you should set storm.zookeeper.port as well.

2) storm.local.dir: The Nimbus and Supervisor daemons require a directory on the local disk to store small amounts of state (like jars, confs, and things like that). You should create that directory on each machine, give it proper permissions, and then fill in the directory location using this config. For example:

If you run storm on windows, it could be:

If you use a relative path, it will be relative to where you installed storm(STORM_HOME).You can leave it empty with default value $STORM_HOME/storm-local

3) nimbus.seeds: The worker nodes need to know which machines are the candidate of master in order to download topology jars and confs. For example:

You're encouraged to fill out the value to list of machine's FQDN. If you want to set up Nimbus H/A, you have to address all machines' FQDN which run nimbus. You may want to leave it to default value when you just want to set up 'pseudo-distributed' cluster, but you're still encouraged to fill out FQDN.

4) supervisor.slots.ports: For each worker machine, you configure how many workers run on that machine with this config. Each worker uses a single port for receiving messages, and this setting defines which ports are open for use. If you define five ports here, then Storm will allocate up to five workers to run on this machine. If you define three ports, Storm will only run up to three. By default, this setting is configured to run 4 workers on the ports 6700, 6701, 6702, and 6703. For example:

5) drpc.servers: If you want to setup DRPC servers they need to specified so that the workers can find them. This should be a list of the DRPC servers. For example:

Monitoring Health of Supervisors

Storm provides a mechanism by which administrators can configure the supervisor to run administrator supplied scripts periodically to determine if a node is healthy or not. Administrators can have the supervisor determine if the node is in a healthy state by performing any checks of their choice in scripts located in storm.health.check.dir. If a script detects the node to be in an unhealthy state, it must return a non-zero exit code. In pre-Storm 2.x releases, a bug considered a script exit value of 0 to be a failure. This has now been fixed. The supervisor will periodically run the scripts in the health check dir and check the output. If the script’s output contains the string ERROR, as described above, the supervisor will shut down any workers and exit.

If the supervisor is running with supervision '/bin/storm node-health-check' can be called to determine if the supervisor should be launched or if the node is unhealthy.

The health check directory location can be configured with:

The scripts must have execute permissions.The time to allow any given healthcheck script to run before it is marked failed due to timeout can be configured with:

Configure external libraries and environment variables (optional)

If you need support from external libraries or custom plugins, you can place such jars into the extlib/ and extlib-daemon/ directories. Note that the extlib-daemon/ directory stores jars used only by daemons (Nimbus, Supervisor, DRPC, UI, Logviewer), e.g., HDFS and customized scheduling libraries. Accordingly, two environment variables STORM_EXT_CLASSPATH and STORM_EXT_CLASSPATH_DAEMON can be configured by users for including the external classpath and daemon-only external classpath. See Classpath handling for more details on using external libraries.

Launch daemons under supervision using 'storm' script and a supervisor of your choice

The last step is to launch all the Storm daemons. It is critical that you run each of these daemons under supervision. Storm is a fail-fast system which means the processes will halt whenever an unexpected error is encountered. Storm is designed so that it can safely halt at any point and recover correctly when the process is restarted. This is why Storm keeps no state in-process -- if Nimbus or the Supervisors restart, the running topologies are unaffected. Here's how to run the Storm daemons:

1. Nimbus: Run the command bin/storm nimbus under supervision on the master machine.
2. Supervisor: Run the command bin/storm supervisor under supervision on each worker machine. The supervisor daemon is responsible for starting and stopping worker processes on that machine.
3. UI: Run the Storm UI (a site you can access from the browser that gives diagnostics on the cluster and topologies) by running the command 'bin/storm ui' under supervision. The UI can be accessed by navigating your web browser to http://{ui host}:8080.

As you can see, running the daemons is very straightforward. The daemons will log to the logs/ directory in wherever you extracted the Storm release.

Setup DRPC servers (Optional)

Just like with nimbus or the supervisors you will need to launch the drpc server. To do this run the command bin/storm drpc on each of the machines that you configured as a part of the drpc.servers config.

DRPC Http Setup

DRPC optionally offers a REST API as well. To enable this set teh config drpc.http.port to the port you want to run on before launching the DRPC server. See the REST documentation for more information on how to use it.

It also supports SSL by setting drpc.https.port along with the keystore and optional truststore similar to how you would configure the UI.

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In 2014 the company appointed game industry veterans, adding Disney, EA and Zynga experience to its leadership team.^[10][11]

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References[edit]

1. ^'Moving On From Facebook'. Wall Street Journal. Retrieved 11 August 2015.
2. ^'Storm8 – Games'.
3. ^Dean Takahashi (March 3, 2015). 'Mobile publisher Storm8 hits a billion downloads for its casual games'. Retrieved 26 August 2015.
4. ^'#15 Storm8 NO CHANGE'. Pocket Gamer. March 18, 2013. Retrieved 11 August 2015.
5. ^Harris, Richard. 'The Storm8 Mobile Game Network is Now Storm8 Studios as it Announces 1 Billion Downloads at GDC'. App Developer Magazine.
6. ^Jim Squires (June 10, 2011). 'Storm8 has their first million dollar day'. Gamezebo. Retrieved 11 August 2015.
7. ^Kim-Mai Cutler (May 7, 2012). 'The Quiet Mobile Gaming Giant: Storm8 Passes 300M Downloads, Has Reached 100M Unique Devices'. Tech Crunch. Retrieved 11 August 2015.
8. ^Kim-Mai Cutler (December 31, 2012). 'Storm8 Grabs 2M Downloads In One Day On Christmas'. Tech Crunch. Retrieved 11 August 2015.
9. ^Takahashi, Dean (January 23, 2020). 'Storm8's journey from a Facebook gaming startup to a $300 million acquisition VentureBeat'. VentureBeat.
10. ^'Storm8 hires duo of industry veterans'. Develop. October 9, 2014. Retrieved 11 August 2015.
11. ^'Storm8 wants to become a household name in mobile games (interview)'. July 7, 2014.
12. ^Dean Takahashi (December 11, 2014). 'Storm8 launches Monopoly Bingo! mobile game in deal with Hasbro'. Venture Beat. Retrieved 11 August 2015.
13. ^Mike Minotti (October 15, 2015). 'Clue comes to mobile...in Bingo form'. Venture Beat.

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