Skip to main content

Service Modeling Realization

When we enable a platform / a set of capabilities for consumption through the enablement of custom development, some of the points to be considered for wider reach .

Wider reach means to provide flexibility such as facilitating development on heterogeneous platform through supporting interoperability, various communication protocols and data encoding formats.

  • Data encoding format – XML, JSON
  • Protocol – Http , Tcp-ip
  • Type of communication - Synchronous / Asynchronous communication
  • Consumption  type – Proxy objects, RESTful communication

In addition to this, other key infrastructure & administration related factors to be considered are:

  • Reliability – Data submitted is not lost. The infrastructure behind the service model should be reliable without losing any submitted messages that is submitted

  • Security  - Integration with the consumer’s security infrastructure

  • Performance – Of course, first & fire most requirement of any exposed services and will be governed by SLAs

  • Service Metering – very important especially in the “pay per use” model

  • Centralized Dashboard – for the consumers to have insight into logs & exceptions


Frist point in consideration in realizing a service model is to select a platform that has the potential to offer various required capabilities. For example, Windows Communication Foundation from Microsoft provides lots of options to provide flexibility such as :

  • Encoding – Plain text for interoperability, Binary to optimize performance, MTOM for large payloads
  • Channels – one way, Duplex , Request-Response, Streaming
  • WS-*
      • WS-Addressing – extra additions to SOAP headers which makes SOAP free from underlying transport protocol
      • WS-Security,WS-Trust,WS-SecureConversation
      • WS-ReliableMessaging
      • WS-Coordination , WS-AtomicTransaction
      • WS-Policy (for more dynamic features of a service), WS-Metadataexchange

So, for a successful realization of a Service Model, choosing a capable platform is very much important !

Comments

Popular posts from this blog

Lambda Architecture on Microsoft Azure

Gone are those days when Enterprises will wait for hours and days to look at the dashboards based on the old, stale data. In this fast world of BYOD, fitness gears and flooding of other devices, it is becoming super important  to derive out “actionable” information from huge volume of data / noise that is generated from these devices or any other data sources and act proactively on them  in real-time, to stay competitive.

At the same time, the need for having dashboards and other analytical capabilities based on the quality, cleansed, processed data still very much exists.

With the emergence of more data types and need to handle huge volume, shift is happening from the conventional data warehouse practice to cloud based data processing & management capabilities where high volume batch processing is possible at the optimized cost. Business scenarios demanding the need to process the data in real-time   More

SharePoint 2013 Architectural Trade-Offs

When planning for deploying SharePoint 2013 based Enterprise workloads, it should be done with the consideration / awareness of impact of various architectural decisions what we make. As SharePoint 2013 is a flexible platform providing lots of options in terms of configuration of the existing OOB features and development of custom development solutions to address specific business functional needs, care should be taken when making a particular decision and its impact on overall solution. Even though SharePoint is a matured product, the effectiveness of various business capabilities such as Enterprise Social, Enterprise Search, BI, Document Management, Web Content Management, and Enterprise Content Management that will be delivered based on it, in terms of addressing the business requirements depends on architecture planning. Effectiveness here means performance, security, up-time and other architectural qualities like Scalability, Reliability etc. more ...

Heterogeneous Cloud Integration

Heterogeneous integration is common scenario in the Enterprises where their IT portfolio is based on heterogeneous platforms. Various solution approaches such as message broker, messaging middleware, SOA – service based integration were employed to address heterogeneous integration challenges.

These solution approaches were good when the integration happens on premise, with in the data centers of an Enterprise. Problem here is non-availability of “elasticity”.

With the Enterprises started leveraging cloud platforms extensively for various solution aspects such as elastic computing, storage, it opens new capabilities that can be leveraged for heterogeneous integration. Also, similar to existing on premise scenario, Enterprises are also leveraging multiple cloud platforms to address their business needs. This scenario will pose same integration challenges as those that were faced within on premise datacenters

Within datacenters / on premise, integration products were expected to comply wi…