introduction to roboconf
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Introduction to Roboconf By the Roboconf team / @Roboconf - PowerPoint PPT Presentation

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Introduction to Roboconf By the Roboconf team / @Roboconf PROJECT Launched in 2013 Open source (Apache v2) Hosted on GitHub Roboconf is based on a prototype developed by Universit Joseph Fourier (Grenoble, France). It is now being

  1. Introduction to Roboconf By the Roboconf team / @Roboconf

  2. PROJECT

  3. Launched in 2013 Open source (Apache v2) Hosted on GitHub Roboconf is based on a prototype developed by Université Joseph Fourier (Grenoble, France). It is now being industrialized by Linagora , a French Software company.

  4. In Few Words Roboconf is a solution based on asynchronous exchanges to deploy and reconfigure distributed applications. It translates concepts from component models (like OSGi) to Software deployment and management.

  5. Target Users Roboconf is intended for project teams with requirements about dynamic deployments and where scalability matters. The ideal user profile is a DevOp . Someone involved in the project development but with a focus on production issues.

  6. Roboconf Features ­ 1/2 Deployment Installs and configures Software applications. Deployment Targets Allows deployment over various targets: cloud infrastructures (IaaS), devices, on-premise hosts... Hybrid deployments are supported.

  7. Roboconf Features ­ 2/2 Reconfiguration Application parts notify each others, which allow them to reconfigure themselves through scripts. Roboconf handles applications life cycle. Monitoring Monitoring support is in progress.

  8. Covered Use Cases Cloud deployment Hybrid deployments Highly dynamic environments (with lots of reconfiguration) Roboconf can deploy any kind of Software. It suits well for distributed applications. There is no constraint on languages or frameworks. If you can script it, you can make it automatic with Roboconf. Large-scale deployments are not well covered (yet).

  9. Roboconf... ... does not reinvent the wheel . Thanks to a plug-in approach, it is possible to use Bash scripts and Puppet modules. You could also use other solutions like Chef or CFengine, provided you write a plug-in for this. Life cycle steps can thus be handled through robust solutions. Roboconf only plugs dynamics behind them.

  10. ARCHITECTURE

  11. Roboconf relies on 3 elements: the DM, agents and a messaging server (RabbitMQ). VM designate Virtual Machines or any kind of machine (server, device...).

  12. The DM The Deployment Manager (DM) is the application in charge of driving deployments. It is the interface through which one can pass requests (deploy this, start that...). It provides a set of REST services. It is generally packaged with a web application (roboconf-web- administration) that acts as a user-friendly front-end for the REST API. Depending on the invoked REST operation, the DM will either... ... interact with a IaaS manager to create or destroy VM. ... communicate with Roboconf agents through a messaging server.

  13. The Agents Every machine on which Roboconf must deploy or manage something must have an agent installed. This agent is in charge of listening... ... instructions from the DM. ... notifications from other agents. Depending on what it receives, an agent will execute recipes. Recipes are associated with plug-ins (Puppet, Bash...). This results in a change, either in the life cycle or in the configuration files of an application. There is one agent per machine. But it can install and manage several elements on it. Installed applications are not aware of Roboconf (=> middleware).

  14. The Messaging Server The messaging server is the medium used to exchange information between... ... the DM and agents. ... an agent and other agents. The current messaging server is RabbitMQ. It is a robust, open source, message broker that implements AMQP and that supports clustering.

  15. Tips about the DM The DM can be deployed anywhere. The good practice is generally to run it locally (in the information system) rather than putting it on a public server. This way, it skips a lot of work to secure it. The DM was designed to be started when it is required. It means you can stop it when you do not use it. Its state is persisted in consequence on a file system. It also makes procedures quite simple to restore it after a crash.

  16. Tips about RabbitMQ The messaging server is the key point so that everything works. It must be reachable from the DM and all the agents. A public location is thus required. Roboconf uses authentication mechanisms provided by RabbitMQ to secure access to the messaging server.

  17. Tips about Agents The most convenient use case with Roboconf is when VM are created in a cloud infrastructure (IaaS). The DM creates them from the IaaS image catalog. So, to have an agent installed and configured on every machine, a virtual appliance has to be created and stored in the image catalog. For other kind of hosts, one has to use other solutions to install and configure agents. Solutions like Puppet, or scripts that do SSH are suitable. Most of the information an agent needs is supplied by the DM at runtime. This keep their configuration minimal.

  18. Multi­IaaS Multi-target and hybrid deployments are supported. This can be used for critical periods (load increase) or for migration purpose. It can also serve strategic objectives (like data security and privacy issues). The next slide illustrates this with some cloud infrastructures. It only shows interaction between Roboconf parts, and not between the parts of the applications that Roboconf deploys.

  20. CONCEPTS

  21. The Graph The graph defines Software elements and their relations. Software elements include virtual machines, application servers, application packages... whatever. They are called components . Two kinds of relations are considered. Containment A component has to be deployed onto another one. Example: a war onto a web application server. Runtime A component needs another one to run. A component provides a feature another component may need. Example: a war application needs a MySQL database.

  22. Containment Example We can deploy Tomcat either on an Amazon VM, or on an Azure VM. And we can deploy given applications only on Tomcat. If we wanted to deploy a third web application, we would have to update the graph. Containment can be recursive. Tomcat is here both contained and a container.

  23. Runtime Example Here shows a mix of containment relations with a runtime dependency. In this graph, App 2 depends on a MySQL database, which is not the case of App 1 . It means Roboconf cannot start App 2 until it has the ip and port of a MySQL database.

  24. Benefits of the Graph For a given Software component... We know what can be deployed on it. We know on what it can be deployed. We know which other components it depends on. Practical Use When we want to deploy a new Software component... ... we can deploy it on an existing container. ... we can create its container at the same time.

  25. The Graph(s) The graph is a structure with two levels of reading (containment and runtime relations). It is a set of rules that will drive deployments and reconfiguration. But unlike what the previous slides let think, there is not only one graph. Indeed, several graphs can be defined in the configuration files. Thus, it is possible to define pseudo-appliances. It means deployments can be made very flexible or very constrained. This is useful because those that develop an application or plan its deployment are not those who effectively deploy and manage it in production. Constraining deployment of scalable parts reduces the risk of errors by the production team.

  26. Lax Graph We here consider the 3 main applications (Apache load balancer, Tomcat and MySQL) can be deployed over a same VM, or at least, on VM of the same « type ».

  27. Appliance­like Graphs Here, we consider each of the 3 main applications must be deployed on their own VM type. It means we cannot deploy different applications on a given VM. Every VM type can have its own template and configuration (tailored CPU, RAM, storage, operating system, network configuration...).

  28. Recipes Every component in the graph is associated with a set of recipes. More exactly, every component in the graph is associated with a plug-in (« installer »). A component associated with the Puppet installer will use a Puppet module as its recipe. A component associated with the Bash installer will use a set of Bash scripts. Recipes define the actions to undertake when an administration decision was sent. It matches life cycle steps: deploy, start, stop and undeploy. There is also a step called update . It is invoked automatically by Roboconf on reconfiguration. This is discussed farther.

  29. Instances Instances means « instances of components from the graph ». The graph is a set of rules. It could be seen as a meta-model for instances. So, instances comply with what was defined in the graph. Another comparison could be classes and instances from Object-Oriented Programming. Instances inherit properties from their component. They can override them, and even define new ones (local scope). Their relations with other instances are ruled by the graph(s). An instance is associated with a single component.

  30. Application Meta­data A Roboconf project is called an application. It comes with the definition of graphs and predefined instances. But it also has some information about the application itself. Name, description, qualifier (version)...

  31. EXAMPLE: LAMP

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