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A batch scheduling system with Docker containers
Web - http://www.genouest.org/godocker/
Code - https://bitbucket.org/osallou/go-docker
Twitter - #godocker
Olivier Sallou – IRISA - 2015
CC-BY-SA
GoDocker
What
 Execute batch jobs/commands in containers
 For multi-user system (ldap based for example)
 With personal and/or common shared directories
(home, central data, …)
 In a scalable architecture to handle massive job
submission.
Why?
 Need for an open source scheduling job
submission tool (like Sun Grid Engine)
• with isolation of resources
• availability of tools without cluster specific
OS/version issues (with containers)
• with remote and authenticated access
• with access to job resource monitoring
How?
 Using proven technologies and software
 Using scalable components
 With plugin support to modify easily default
behavior and adapt it to YOUR system.
Technologies
 Docker: for containers
 Docker Swarm or Apache Mesos for job execution
and dispatch, as well as for node monitoring.
 Google cAdvisor: for job monitoring
 Language: Python
 Databases backend: MongoDB, Redis, InfluxDB
(optional).
Features
 Remote execution of a job (command line)
• in a Docker container
• with requested resources (cpu, memory)
• with requested directories mounted in container
(according to ACL)
 Allowed container images can be limited to a list
(config)
 User can specify the container image (config)
 Optional root access to container (config)
Features
 Interactive sessions (ssh) in a container
 User/Group priority and quotas.
 Jobs scheduling according to multiple properties
(priority, waiting time, previous usage, …). Fair share
algorithm available.
 Plugins to modify or add features.
 Global and per job monitoring (past and live).
 Partial DRMAA v1 support
Architecture
CLI/ Web UI
Web proxy
Web servers
Influxdb
Redis
MongoDB
Scheduler Watchers
Dispatcher
(Swarm, Mesos)
Submit task Monitor tasks
Execution nodes
(with Docker)
Shared file system
Databases
 Mongodb:
• used to store jobs data
 Redis:
• use lists to dispatch requests between
executors to monitor jobs
 Influxdb:
• optional db to store time based data
(cpu/memory usage, number of jobs, etc.)
Components
 CLI : Command Line Interface
 Web interface / REST API
 Authentication / ACLs => plugins
 Scheduler => plugins
 Executor => plugins
 Watchers => plugins
Command Line Interface
 Execute commands using the REST API of the web
server:
• submit and control running jobs
• download output files from jobs
• etc.
 Some commands are dedicated to administrators:
• project and user quota manager
• etc.
Web server
 Submit and manage tasks via web UI
 REST interface for remote control
 Partial DRMAA v1 integration
 Register new tasks for scheduler.
Authentication / ACL
 A plugin is available to authenticate users with an
LDAP but it should be adapted to your needs
• manage authentication for web site
• define which volumes/directories can be
mounted in container (user home directory
etc.), and their mode (ro, rw).
 Other plugins can be developed for specific
authentication/acl
Scheduler
 Only one instance of the process
 The scheduler reorder job requests:
• per priority (user and/or group)
• reject if quota reached
• different algorithms are available:
• fifo
• fair(share)
• others can be added with plugins
Scheduler
 It executes the job command using the executor
plugin:
• Docker Swarm
• Apache Mesos
• others can be developed
• manage port mapping for interactive jobs
Executor
 Multiple instances can be run to scale with the
number of jobs to monitor.
 Manage kill or reschedule requests
 Checks the status of the job (running, over)
 Trigger watchers (see next slide)
 When job is over, it updates job status.
Watcher
 Watchers are plugins called by executors during
job execution to act upon job life cycle:
• ex: kill job
• ex: update some meta-data
 New plugins can be added
 Available:
• Maxlifespanwatcher: kill a job after X days.
Monitoring
 Cadvisor
• helps to monitor “live” job cpu/memory
usage.
• data can be saved in InfluxDB for later
analysis.
 Previous jobs data are kept in MongoDB for
statistics/analysis.
About
 Authors:
• Olivier Sallou (IRISA / Univ. Rennes 1)
• Cyril Monjeaud (IRISA/ Univ. Rennes 1)
 License: Apache-2.0
Web: http://www.genouest.org/godocker/
Code: https://bitbucket.org/osallou/go-docker

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GoDocker presentation

  • 1. A batch scheduling system with Docker containers Web - http://www.genouest.org/godocker/ Code - https://bitbucket.org/osallou/go-docker Twitter - #godocker Olivier Sallou – IRISA - 2015 CC-BY-SA GoDocker
  • 2. What  Execute batch jobs/commands in containers  For multi-user system (ldap based for example)  With personal and/or common shared directories (home, central data, …)  In a scalable architecture to handle massive job submission.
  • 3. Why?  Need for an open source scheduling job submission tool (like Sun Grid Engine) • with isolation of resources • availability of tools without cluster specific OS/version issues (with containers) • with remote and authenticated access • with access to job resource monitoring
  • 4. How?  Using proven technologies and software  Using scalable components  With plugin support to modify easily default behavior and adapt it to YOUR system.
  • 5. Technologies  Docker: for containers  Docker Swarm or Apache Mesos for job execution and dispatch, as well as for node monitoring.  Google cAdvisor: for job monitoring  Language: Python  Databases backend: MongoDB, Redis, InfluxDB (optional).
  • 6. Features  Remote execution of a job (command line) • in a Docker container • with requested resources (cpu, memory) • with requested directories mounted in container (according to ACL)  Allowed container images can be limited to a list (config)  User can specify the container image (config)  Optional root access to container (config)
  • 7. Features  Interactive sessions (ssh) in a container  User/Group priority and quotas.  Jobs scheduling according to multiple properties (priority, waiting time, previous usage, …). Fair share algorithm available.  Plugins to modify or add features.  Global and per job monitoring (past and live).  Partial DRMAA v1 support
  • 8. Architecture CLI/ Web UI Web proxy Web servers Influxdb Redis MongoDB Scheduler Watchers Dispatcher (Swarm, Mesos) Submit task Monitor tasks Execution nodes (with Docker) Shared file system
  • 9. Databases  Mongodb: • used to store jobs data  Redis: • use lists to dispatch requests between executors to monitor jobs  Influxdb: • optional db to store time based data (cpu/memory usage, number of jobs, etc.)
  • 10. Components  CLI : Command Line Interface  Web interface / REST API  Authentication / ACLs => plugins  Scheduler => plugins  Executor => plugins  Watchers => plugins
  • 11. Command Line Interface  Execute commands using the REST API of the web server: • submit and control running jobs • download output files from jobs • etc.  Some commands are dedicated to administrators: • project and user quota manager • etc.
  • 12. Web server  Submit and manage tasks via web UI  REST interface for remote control  Partial DRMAA v1 integration  Register new tasks for scheduler.
  • 13. Authentication / ACL  A plugin is available to authenticate users with an LDAP but it should be adapted to your needs • manage authentication for web site • define which volumes/directories can be mounted in container (user home directory etc.), and their mode (ro, rw).  Other plugins can be developed for specific authentication/acl
  • 14. Scheduler  Only one instance of the process  The scheduler reorder job requests: • per priority (user and/or group) • reject if quota reached • different algorithms are available: • fifo • fair(share) • others can be added with plugins
  • 15. Scheduler  It executes the job command using the executor plugin: • Docker Swarm • Apache Mesos • others can be developed • manage port mapping for interactive jobs
  • 16. Executor  Multiple instances can be run to scale with the number of jobs to monitor.  Manage kill or reschedule requests  Checks the status of the job (running, over)  Trigger watchers (see next slide)  When job is over, it updates job status.
  • 17. Watcher  Watchers are plugins called by executors during job execution to act upon job life cycle: • ex: kill job • ex: update some meta-data  New plugins can be added  Available: • Maxlifespanwatcher: kill a job after X days.
  • 18. Monitoring  Cadvisor • helps to monitor “live” job cpu/memory usage. • data can be saved in InfluxDB for later analysis.  Previous jobs data are kept in MongoDB for statistics/analysis.
  • 19. About  Authors: • Olivier Sallou (IRISA / Univ. Rennes 1) • Cyril Monjeaud (IRISA/ Univ. Rennes 1)  License: Apache-2.0 Web: http://www.genouest.org/godocker/ Code: https://bitbucket.org/osallou/go-docker