A deployment framework is key to solving the problems of deploying, configuring, and scaling open source clusters for cloud computing.
Deploying an open source cloud can be a complex undertaking. Manual processes, can take days or even weeks working to get a cloud fully operational. Even then, a cloud is never static, in the real world cloud solutions are constantly on an upgrade or improvement path. There is continuous need to deploy new servers, add management capabilities, and track the upstream releases, while keeping the cloud running, and providing reliable services to end users. Service continuity requirements dictate a need for automation and orchestration. There is no other way to reduce the cost while improving the uptime reliability of a cloud.
These were among the challenges that drove the development of the OpenCrowbar software framework from it’s roots as an OpenStack installer into a much broader orchestration tool. Because of this evolution, OpenCrowbar has a number of architectural features to address these challenges:
Abstraction Around OrchestrationOpenCrowbar is designed to simplify the operations of large scale cloud infrastructure by providing a higher level abstraction on top of existing configuration management and orchestration tools based on a layered deployment model.
Web ArchitectureOpenCrowbar is implemented as a web application server, with a full user interface and a predictable and consistent REST API.
Platform Agnostic ImplementationOpenCrowbar is designed to be platform and operating system agnostic. It supports discovery and provisioning from a bare metal state, including hardware configuration, updating and configuring BIOS and BMC boards, and operating system installation. Multiple operating systems and heterogeneous operating systems are supported. OpenCrowbar enables use of time-honored tools, industry standard tools, and any form of scriptable facility to perform its state transition operations.
Modular ArchitectureOpenCrowbar is designed around modular plug-ins called Barclamps. Barclamps allow for extensibility and customization while encapsulating layers of deployment in manageable units.
State Transition Management EngineThe core of OpenCrowbar is based on a state machine (we call it the Annealer) that tracks nodes, roles, and their relationships in groups called deployments. The state machine is responsible for analyzing dependencies and scheduling state transition operations (transitions).
Data modelOpenCrowbar uses a dedicated database to track system state and data. As discovery and deployment progresses, system data is collected and made available to other components in the system. Individual components can access and update this data, reducing dependencies through a combination of deferred binding and runtime attribute injection.
Network AbstractionOpenCrowbar is designed to support a flexible network abstraction, where physical interfaces, BMC’s, VLANS, binding, teaming, and other low level features are mapped to logical conduits, which can be referenced by other components. Networking configurations can be created dynamically to adapt to changing infrastructure.
Just after we’d started deep Crowbar development, Andi Abes, Paul Webster and Victor Lowther joined the Dell Crowbar+OpenStack team. They immediately started to dig into our Swift, BIOS/RAID, and Network components. They also started to bump into each other in our original code base. It quickly became apparent that we needed to modularize Crowbar.
Restructuring Crowbar into modules has proved essential as a method for safe community collaboration.
Greg Althaus coined the name “barclamps” during the modularization rearchitecture. A barclamp is a class extension of the Crowbar ServiceObject that allows Crowbar to identify the Chef components used by the barclam
p (name p
attern in Chef is bc-template-[barclamp]) and provides capabilities that are specific to each barclamp.
In the simplest case, the barclamp is a minimal wrapper that just provides naming hooks for your Chef cookbooks. This makes it very easily to adapt existing Chef work to work with Crowbar.
In more complex cases, the barclamp will help identity how nodes are allocated, interacts with other barclamps, extends the provisioner state machine and provides custom user interfaces.
In most cases, the barclamp’s generic integration and UI are sufficient.
Initially, barclamps were entirely exposed via REST using the ServiceObject. We quickly wrapped those into a CLI for our continuous integration system. Lately, we’ve expressed them in the user interface.
At launch, you’ll find all but two in the open source repository. Unfortunately, we were not able to include BIOS and RAID barclamps in the open version because they use licensed components – we are working to correct this. They are available in the Dell licensed version.
When looking at the barclamps, it is critical to understand that even the most core Crowbar functionality is expressed as a barclamp.
This exposure of Crowbar internals as barclamps is important because it
Consequently, the core logic of the state machine, networking configuration, and provisioning are all exposed in barclamps. This makes it possible to modify and extend the most basic Crowbar operations; however, there are currently no guards against breaking these barclamps either!
The following list includes all the barclamps that we’ve created for Crowbar.
The roles and recipes to set up the barclamp framework.
Initial classification system for the Crowbar environment (aka the state machine)
The roles and recipes to set up the provisioning server and a base environment for all nodes
Instantiates network interfaces on the crowbar managed systems. Also manages the address pool.
Common NTP service for the cluster. An NTP server or servers can be specified and all other nodes will be clients of them.
manages the DNS subsystem for the cluste
centralized logging system based on syslog
Integrates with IP management to allow direct hardware control bypassing the operating system.
LSI Licensed components. Cannot be included in open source release at this time.
PowerEdge C series: Dell License component. Cannot be included in open source release at this time.
Optional: a common Ganglia service for the cluster that can be used by other barclamps
Optional : common monitoring service for the cluster that can be used by other barclamps
OpenStack: installs and configures the Openstack Nova (Cactus Release) component. It relies upon the network and glance barclamps for normal operation.
OpenStack: part of Openstack (Cactus Release) , and provides a distributed blob storage
OpenStack: Glance service (Cactus Release, Nova image management) for the cloud