Model View Controller (MVC)

Model view controller (MVC) is a software architecture pattern which separates the representation of information from the user’s interaction with it.

In addition to dividing the application into three kinds of components, the MVC design defines the interactions between them.

A controller can send commands to its associated view to change the view’s presentation of the model (e.g., by scrolling through a document). It can also send commands to the model to update the model’s state (e.g., editing a document).

A model notifies its associated views and controllers when there has been a change in its state. This notification allows the views to produce updated output, and the controllers to change the available set of commands. A passive implementation of MVC omits these notifications, because the application does not require them or the software platform does not support them.

A view requests from the model the information that it needs to generate an output representation.

Model View Controller (MVC)
Model View Controller (MVC)

SFDC MVC: You can write your VIEW pages using SFDC visual force (VF pages). VF pages are similar to our JSP pages.  Each VF page is associated with a Controller. you can make use to already built Standard controllers or you can write your own controller using Apex language. Apex is OO and very much similar to our JAVA. you can also write Model Classes using Apex.

Visualforce uses the traditional model-view-controller (MVC) paradigm, with the option to use auto-generated controllers for database objects, providing simple and tight integration with the database. You can write your own controllers, or extensions to controllers, using Apex Code. Visualforce also provides AJAX components, and embeds the formula expression language for action, data and component binding interaction. is award winning tool to manage all the data of sales team of an organization. The flexibility and assurance of safe data provided by results into nonparallel development capabilities to the developer.

SFDC MVC pattern contains below three modules:

  1. Model
  2. View
  3. Controller

Model: What schema and data does salesforce uses to represent the system completely. In salesforce, we can say that sObjects are the model as every entity in salesforce is mapped to some sObject.

View: How the schema and data is represented. Visualforce is used to present the data to users.

Controller: How the interface actions. Controllers are used to perform the actions whenever users interact with visual force.


1. Visual Force pages, Page Layouts, Tabs comes under View Layer of Model View controller .

2. Workflows, Apex Classes, Triggers comes under Controller part in Model View controller .

3. Objects, Fields, Relationships comes under Model Layer of Model View Controller .

Salesforce(Cloud computing Training) Material

Following are list of salesforce(Cloud computing Training) materials.

1. To view basic fundamental Salesforce (Cloud computing Training) Material click following link.

Salesforce Fundamentals ( Platform Fundamentals)

2. To know the Sales force editions and Pricing details See the following link.


3. To know more about Salesforce(Cloud computing Training) Material see the following links.

Salesforce Development Life Cycle

Salesforce Apex code developers guide

Salesforce visual force developers guide







Introduction about Cloud Computing

Introduction about Cloud Computing

“What’s the cloud?”  “Where is the cloud?”  “Are we in the cloud now?!” These are all questions you’ve probably heard or even asked yourself. Now new trend in IT is Cloud computing.

In the simplest terms, cloud computing means storing and accessing data and programs over the Internet instead of your computer’s hard drive.

What cloud computing is not about is your hard drive. When you store data on–or run programs from the hard drive, that’s called local storage and computing. Everything you need is physically close to you, which means accessing your data is fast and easy (for that one computer, or others on the local network). Working off your hard drive is how the computer industry functioned for decades and some argue it’s still superior to cloud computing, for reasons I’ll explain shortly.

The cloud is also not about having a dedicated hardware server in residence. Storing data on a home or office network does not count as utilizing the cloud.

For it to be considered “cloud computing,” you need to access your data or your programs over the Internet, or at the very least, have that data synchronized with other information over the Net. In a big business, you may know all there is to know about what’s on the other side of the connection; as an individual user, you may never have any idea what kind of massive data-processing is happening on the other end. The end result is the same: with an online connection, cloud computing can be done anywhere, anytime.

Cloud Computing

Life before cloud computing

Traditional business applications have always been very complicated and expensive. The amount and variety of hardware and software required to run them are daunting. You need a whole team of experts to install, configure, test, run, secure, and update them.

When you multiply this effort across dozens or hundreds of apps, it’s easy to see why the biggest companies with the best IT departments aren’t getting the apps they need. Small and mid-sized businesses don’t stand a chance.

Cloud computing: a better way

With cloud computing, you eliminate those headaches because you’re not managing hardware and software—that’s the responsibility of an experienced vendor like The shared infrastructure means it works like a utility: You only pay for what you need, upgrades are automatic, and scaling up or down is easy.

Cloud-based apps can be up and running in days or weeks, and they cost less. With a cloud app, you just open a browser, log in, customize the app, and start using it.

Businesses are running all kinds of apps in the cloud, like customer relationship management (CRM), HR, accounting, and much more. Some of the world’s largest companies moved their applications to the cloud with after rigorously testing the security and reliability of our infrastructure.

As cloud computing grows in popularity, thousands of companies are simply rebranding their non-cloud products and services as “cloud computing.” Always dig deeper when evaluating cloud offerings and keep in mind that if you have to buy and manage hardware and software, what you’re looking at isn’t really cloud computing but a false cloud.

Characteristics of Cloud Computing

On-demand: Resources should be always available when you need them, and you have control over turning them on or off to ensure there’s no lack of resource or wastage happen.

Scalable: You should be able to scale (increase or decrease the resource) when necessary. The cloud providers should have sufficient capacity to meet customer’s needs.

Multi-tenant: Sometimes you may be sharing the same resource (e.g. hardware) with another tenant. But of course, this is transparent to the customer. Cloud provider shall responsible the security aspect, ensuring that one tenant won’t be able to access other’s data.

Self-service computation and storage resource: Related processes including: billing, resource provisioning, and deployment should be self-service and automated, involving much less manual processing. If a machine where our service is hosted fails, the cloud provider should be able to failover our service immediately.

Reliability:  Cloud provider should be able to provide customer reliability service, committing to uptimes of their service.

Utility-based subscription: You will pay the cloud provider as a utility based subscription, just like paying your electricity bill – without any upfront investment.

Service models in cloud computing

1.       Infrastructure as a service (IaaS)

2.       Platform as a service (PaaS)

3.       Software as a service (SaaS)

4.       Network as a service (NaaS)


Service Models in cloud computing

Cloud computing Types

A public cloud is one based on the standard cloud computing model, in which a service provider makes resources, such as applications and storage, available to the general public over the Internet. Public cloud services may be free or offered on a pay-per-usage model.

A private cloud is designed to offer the same features and benefits of public cloud systems, but removes a number of objections to the cloud computing model including control over enterprise and customer data, worries about security, and issues connected to regulatory compliance.

A hybrid cloud is a composition of at least one private cloud and at least one public cloud. A hybrid cloud is typically offered in one of two ways: a vendor has a private cloud and forms a partnership with a public cloud provider, or a public cloud provider forms a partnership with a vendor that provides private cloud platforms.

Cloud Computing Types