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The MCollective system administration toolset for parallel task execution is strategically intertwined with Puppet - so much so that Puppet Labs has encouraged users to deploy MCollective for ad-hoc control of their puppet hosts. Unfortunately, very little documentation on MCollective is available. Learning MCollective fills this critical gap.
With MCollective, you can build server orchestration or parallel job execution systems that enable real-time discovery of network resources. This book shows system administrators and operations engineers how to: Break free from complex naming conventions for hostnames as a means of identity, using a rich set of meta data provided by each machine Use meta data from Puppet, Chef, Facter, Ohai, or plugins you provide yourself Call remote agents, using simple command line tools Write custom reports about your infrastructure Manage packages, services, and other common components using agents Write simple RPC-style agents, clients, and web UIs in the easy-to-understand Ruby language
About the author
Jo Rhett is a network architect and DevOps engineer with 20 years of experience conceptualizing and delivering large-scale Internet services. He focuses on creating automation and infrastructure to accelerate deployment and minimize outages.
Jo has been using, promoting, and enhancing configuration management systems for over 20 years. He builds improvements and plugins for CfEngine, Puppet, MCollective, and many other DevOps tools.
Jo is the author of Learning Puppet 4, Learning MCollective, and Instant Puppet 3 Starter (Packt).
Summary
Ideal for system administrators and operations or DevOps engineers at any level, this hands-on guide teaches you how to build and test a real installation of MCollective servers and clients in your environment.
