Cordys

Cordys BPM Constructs 101a


I’m now really quite comfortable with Cordys process modelling and the models component constructs.  There are simple differences between certain constructs that I’ve used in other products such as MS Biztalk so I wanted to absorb the Cordys documentation and present a sort of quick and dirty intro to each construct and how Cordys uses them to execute your processes.  As there are several constructs and I wanted to go into some detail, I’ll present some of them here and the rest in a subsequent article.

If you don’t already have a copy of the Cordys community edition VM that runs C3 or BOP4 on a CentOS virtual hard disk, I’d suggest getting hold of it so you can ‘play’.

/*Note that most of the constructs can only be used if a user is granted the Business Analyst role, from the Cordys Classic Studio ISV package.*/

Start Event – Only one per process. Can have several trigger types:

– Message (a defined process specific message)
– Timer (by setting a time unit (e.g. days) and no of occurrence
times)
– No Message or Timer

End Event – Process can have multiple end events. Error, Message and Rollback. You define an output message by dragging a ‘Document Type’ from the BPM Components repository to the end event. This then invokes a web service as the process ends. You can specify custom error XML in the ‘error details’ tab of the end event.

Activity – The activity is the construct that represents a generic step in the process and should be configured with an activity ‘type’. It can be of type ‘Application’ (web service calls) or ‘XForm’. When of type XForm, an additional XForm tab becomes available in the activity properties.  An activity can also be set to be a ‘dummy activity’ meaning it does nothing.  Each
activity can be conditionally executed based on conditional evaluation returning a boolean result.

Decision – The decision is a basic construct that allows multiple mutually exclusive outputs. It’s actual conditions are defined in the connectors that exit the decision construct and Xpath evaluations can use message map data for data driven decisions.

Intermediate Message Event – The intermediate message should have a process specific message defined and is invoked when a message is received to the process.  Normally this is used to ‘wake’ a waiting process instance. The gateway inmessage based on the process instance id (ensuring message correlation).  For asynchronous web service calls, an intermediate message can be used to receive the response message from a service operation call. Dragging the output message from message map will set this.  Therefore it is useful to know whether
the operations you are calling via your activities are sync or async.

Compensate Event – Used to rollback any effects of an activity or context or activities when an exception is caught.  A compensate event can be defined for an activity, sub-process,
context (embedded sub-process), for each, while and until loops. An activity or sub-process can only have one compensate event associated. Compensate is represented as two left pointing arrows, side by side in a circle.

Delay Event – An intermediate event that stalls the process for a configurable amount of waiting time. Delays can be of type:
– Fixed delay.  That is a set amount days, hours, minutes or seconds.
– Message read delay.  That is a delay value read from a process specific message using an Xpath reference. As with a standard activity, a delay may be conditionally executed based on a boolean return evaluation.

Exception Event – An exception is an event which is fired when a Cordys error occurs (e.g. a soap fault is detected via external service responses or via SOA grid messages).
As you would in programming code, you can specify a specific exception name to catch or just catch any exception.  Once an exception is thrown, process execution is diverted to the connected exception event where subsequent exception handling activities should follow.  There are several error types which can be caught and which are configured on the exception event construct:
– All. All exceptions are caught, regardless of the error code.
– Custom Error. You can set an error code you may expect from a service response indicating an error has occurred (e.g. a SOAP fault
code).
– System Error. Simply put, a Cordys internal error where some part of Cordys may not be operational (a soap processor may be down for example) or syntax rules are broken.
– Communication’s Error. These errors are specific to SOAP faults returned from external service calls. Error code 11 is returned for comm’s failures.

There are error codes that are only raised when a sub-process is being invoked from a parent. These are:
– Process Loading Error
– Process Instantiation Error
– Process Model Not Found Error

… more to follow soon!

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Cordys BOP4 : Messaging on the SOA Grid


I’ve spent a few weeks getting used to Cordys BOP 4 and as I usually try and do with a new product, I wanted to know more about what’s going on under the bonnet with it.  The central coordinating component of Cordys is its SOA grid, which takes care of messaging between all of the core Cordys services and other web services.  Based on the information provided in the Cordys offline documentation and because I’m a visual learner, I’ve drawn up the following image that should hopefully shed some light on how Cordys organises its internal services and how they communicate via the SOA grid. Click on the image to zoom to actual size.


What I’m trying to show here is how Cordys deals with an inbound service request.  The dark line represents the path of the message along the service bus.

To illustrate an example of how the above image can be used to understand what Cordys does is the request of an XForm from the Cordys client.  The client sends a request to display an XForm so sends a HTTP request to the web server for a resource of .caf file extension.  The web server, based on the .caf file extension hands the request over to the Cordys web gateway.  The web gateway contacts the LDAP service container and checks for the location of the XForms service container (the LDAP service must always be up and running for proper SOA grid functioning).  The LDAP service container has an LDAP application connector which talks to CARS.  Next the SOAP request is sent to the XForms service container and the XForms engine takes care of rendering the HTML response.  Not only that, but the XForms engine also validates controls against schemas and automatically contacts other web services required whilst rendering.  Once the HTML is generated, it is returned via the SOA grid to the Cordys web gateway, then back to the calling client.

I should mention at this point that web services on the SOA grid are called based on the service operation name and namespace in the SOAP request.

This is very high level and it’s always a good idea to read further into the Cordys documentation, but I hope this graphic helps to illustrate the architecture of services, service containers and service groups on the Cordys SOA Grid.

Understanding Multi-tenancy


I’m doing a lot of research and practical ‘playing’ with the Cordys BOP 4 environment at the moment.  It’s a relatively young product from a young company (founded in 2001) but from what I have understood about the product and its architecture it is a strong, versatile collaborative tool that really supports rapid application development and maintenance for business change thus reducing general cost of ownership.  I don’t want to talk about the product itself, I will be doing that soon enough, but I wanted to cover one of the software’s best features in my opinion and that is its ability to operate within the enterprise and in the cloud utilizing a fully multi-tenant architecture.

Multi-tenancy is an architectural principle which says that a single install of a software program / server application can service multiple client ‘organizations’, providing a customized isolated application environment with its own data.  This is in complete contrast to the idea of multiple instances for each organization (i.e. installing an instance of some server software and underlying database to serve one organization and store only that organizations data).  Each ‘organization’ (in the general sense of the word) is classed as a tenant, using the application, therefore if one single installed application can serve multiple tenants their customized view of the application, then it is said to have multi-tenancy (supports multiple tenants). Google apps is a perfect example of a multi-tenant architecture.  Multi-tenancy is the foundation architecture for most if not all Software as a Service applications, thus cloud applications support multi-tenancy.

How multi-tenancy is implemented in an application can vary from application to application.  The general principle however is to have the application virtually partition portions of its data and services to different consuming organizations.  A very simple example at the data level would be to have the application generate a set of related data tables under new database schemas as new organizations are set-up to use the application (so a schema per organization).  This separates off the data into logical groups that have their own security context on the database.  There are other ways to partition the data, but this is just to illustrate one potential method.

So multi-tenancy is a software architecture and one that is prevalent in cloud applications.  Cordys BOP 4 does this very well and I’m looking forward to investigating this product and its virtualization capabilities further.