Hence, we can say it is the process of automating your code’s compile, static code analysis, documentation generation, etc for every single check in of code. The goal is to develop a robust build pipeline so that anything that breaks the pipeline is identified as fast as possible, because every single checked in change automatically leads to a complete run of the entire building pipeline. After having a successful CI for build, one can then make ‘build pipelines’ generating docs after a successful build, generating quality reports and maybe automatically deploying to/setting up test/production if one’s project have reach the expected quality and all unit, integration, smoke and qa tests pass. Ultimately, with its help we can  build our project and execute tests in a clean isolated environment each time one commit on CVS, with the help of a continuous build tool.

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Initially Cucumber was implemented in Ruby and then extended to Java framework. Both the tools support native JUnit. Cucumber can be used along with Selenium, Watir, and Capybara etc. It supports many languages like java, Perl, PHP, Python, .Net etc.

One can use it more in different project environments., as it is very easy to learn and implement. One should apply BDD framework to API automation.The inbuilt runner for cucumber is JUnit but we can also use testng with it. BDD is most promising framework in industry because it shows interactions between a BA and automation engineer.  Cucumber is more like using COBOL. Write the tests in a more conventional programming language, like Ruby, Java, PHP, Python, C#, Haskell, Go, whatever. And Cucumber is not a testing tool. It is a tool to help non-technical people understand tests. If programmers are going to test a RESTful API, then they will achieve more by using a familiar programming language to write those tests.

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Django is a web framework written in Python. Django follows explicit is better than implicit (a core Python principle), resulting in code that is very readable even for people that are not familiar with the framework. A project in Django is organized around apps. Each app has its own models, controllers, views and tests and feels like a small project. Django projects are basically a collection of apps, with each app being responsible for a particular subsystem.

Why Ruby on Rails is good for Web Development ::

• Both frameworks were born out of the need of developing web applications faster and organizing the code better. They follow the MVC principle, which means the modelling of the domain (model), the presentation of the application data (view) and the user’s interaction (controller) are all separated from each other. Django actually considers the framework to be the controller, so Django addresses itself as a model-template-view framework. Django’s template can be understood as the view and the view as the controller of the typical MVC scheme. Ruby on the other hand mainly lies in the area of web development and offers really great libraries in that field, from the web application itself over deployment libraries to things like foreman which helps you to start a big set of microservices simultaneously on your local device.
• —  Sites that would traditionally take 12 weeks to build can commonly be launched inside of 6 weeks with Ruby on Rails. This time savings results from a few factors: a leaner code-base (fewer lines of redundant code), a modular design (re-using existing components rather than building everything from scratch), and the availability of existing plugins (again, reducing the need to build features from scratch).
• —   After site launch, future modifications to your site (e.g., adding new features, making changes to the data model) can be made more quickly, for the same reasons noted above.
• —    Because of the speed with which Rails sites can be built and modified, one will spend less money to create and maintain the website — without compromising the quality, performance, or scalability of your site.

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1. Responsive Design− Bootstrap’s responsive CSS adjusts to Desktops,Tablets and Mobiles.
2. Mobile first approach− Since Bootstrap 3 and 4, the framework consists of Mobile first styles throughout the entire library instead of in separate files.
3. Easy to get started− With just the knowledge of HTML and CSS anyone can get started with Bootstrap. Also the Bootstrap official site has a good documentation.
4. Browser Support− It is supported by all popular browsers.
5. It contains beautiful and functional built-in componentswhich are easy to customize.
6. Provides a clean and uniform solutionfor building an interface for developers.
7. Provides web based customization.
8. Best of all it is an open source.
9. Base styling for most HTML elements(Typography,Code,Tables,Forms,Buttons,Images,Icons)
10. Bundled Javascript plugins

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• Open-source– Apache Hadoop is an open source project. It means its code can be modified according to business requirements.
• Distributed Processing– As data is stored in a distributed manner in HDFS   across the cluster, data is processed in parallel on cluster of nodes.
• Fault Tolerance– By default 3 replicas of each block is stored across the cluster in Hadoop and it can be changed also as per the requirement. So if any node goes down, data on that node can be recovered from other nodes easily. Failures of nodes or tasks are recovered automatically by the framework.
• Reliability– Due to replication of data in the cluster, data is reliably stored on the cluster of machine despite machine failures. If your machine goes down, then also your data will be stored reliably.
• High Availability– Data is highly available  and accessible despite hardware failure due to multiple copies of data. If a machine or few hardware crashes, then data will be accessed from other path.
• Scalability– Hadoop is highly scalable in the way new hardware can be easily added to the nodes. It also provides horizontal scalability which means new nodes can be added on the fly without any downtime.
• Economic– Hadoop is not very expensive as it runs on cluster of commodity hardware. Hadoop provides huge cost saving also as it is very easy to add more nodes here.
• Easy to use– No need of client to deal with distributed computing, framework takes care of all the things. So it is easy to use.
• Data Locality– Hadoop works on data locality principle which states that move computation to data instead of data to computation. When client submits the algorithm, this algorithm is moved to data in the cluster rather than bringing data to the location where algorithm is submitted and then processing it.

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• Simple and straightforward syntax– Scala typically requires two-thirds less code than Java. The syntax is also more flexible. For example, you can leave out periods between method calls so the code is more human-readable and easier to understand.
• Inherently immutable objects–  Scala’s programming language reduces many thread-safety concerns that spring up in traditional Java applications.
• Highly functional. Scala treats functions as first class citizens.
• Fast implementation speed–  It allows for quicker implementation and enhanced performance.
• Scala challenges strong engineers in a meaningful and entertaining manner, making development more fun.
• Easy to solve concurrency issues–   It has an Actor library to solve concurrency problems more rapidly.
• Support  XML —  Scala supports XML, which is beneficial if you have a need to encode documents in your products.

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• You have access to all versions of all files in Git repository at any time, it’s almost impossible to lose any part of a code.
• Multiple developers can work on one project at the same time without interfering with each other, and without fear of losing any changes made by a colleague. In Git, the possibilities of collaborative work are unlimited.

Why to Use Git

There are many tools available in market right now like Git to revision control and SCM (source code management) but why Git is most popular ? Git tracks state, history and integrate of the source tree

• Git keeps old versions for you if some developer did any mistake in code then you will always have previous version to fix it
• Multiple developers can work together, once they write code in their local machine and commit it then other developers can pull it easily.
• Large developers community and online websites to upload your source codes or get others source codes to make your work easier
• Lots of software available for both who comfortable with command line and for others GUI tools
• Easy and clear documentation to get started
• Git will not use much bandwidth, just need to connect to push code when you are done

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Website development as a mainstream has flourished exponentially within a less time. With so many of the service providers spreading out and the Internet opening up the International boundaries, a lot of design variety and skill diversity is available. Despite, this has created a great chaos in the minds of clients. With different  Website Development Pricing all over the companies, most of the web design service buyers mull over the reasonable cost of web development. We can find web designers and web design firms asking different amounts at the same time some others don’t even touch a project for less than that particular amount, and even more web designers fall in between these price ranges. So what is the right price for a website design or redesign?

It depends on a multitude of factors::

•  Quality

There are so many options to save money. However, cheap quality reflects itself negatively, and has the potential of hindering website visitor conversions. On the other hand, if all your marketing budget is spent on just a website design and you have nothing left to market your impeccable website, did you even then made a wise decision ? You need a professionally created website that “talks” to your visitors and does a perfect job at showing them how trustworthy you and your business are. More important however is that you need a website that is “results-oriented” and converts your visitors into customers.

• Value

The price to value depends on factors which encompass design and functionality both. You have to know what goes into developing a basic website framework and how much effort is needed to add bells and whistles to the basic core.

• Functionality

Many customers require a content management system to enable them to easily add content to the site and update the existing content. Many individuals and businesses however require much more than a basic 5 page website and may include requirements like Flash slideshows, editable jQuery, Contact Us forms, Blog, Forum, Sitemap, Virtual Tours, Photo and Video Galleries etc. Your web design company needs to design and develop this functionality and you will be paying for their time and expertise.

The larger your project scope, the higher the cost will be. Web development costs include scope parameters such as:

• The number of pages to be designed.
• Programming required
• Content authoring and image usage.
• Web hosting and domain name purchase.
• Video development and video hosting
• Logo design or redesign

• Expertise and Experience

Experienced web designers is always the best choice. While experienced web design firms with cross-discipline experience will always charge more, they also stand a better chance of delivering superior results.

•  QA

Good developers must have quality assurance methods, project management tools . Cross browser testing, broken link checks, better cut images, cleaner Javascript code, that loads quickly, are some benefits that make or break a website.

The bottom line is, the decision to hire a web design company should never be price focused, but ROI (return on investment) focused. If the company has the ability to deliver and show you a successful track record, you will never regret your decision.

WE  OFFER  WEB  DESIGN  $  DEVELOPMENT  AT UNBEATABLE  PRICE..

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Ways to remarket with Google AdWords

• Standard remarketing:Show ads to your past visitors as they browse Display Network websites and use Display Network apps.
• Dynamic remarketing:Boost your results with dynamic remarketing, which takes remarketing to the next level with ads that include products or services that people viewed on your website.
• Remarketing for mobile apps:Show ads to people who have used your mobile app or mobile website as they use other mobile apps or browse other mobile websites.
• Remarketing lists for search ads:Show ads to your past visitors as they do follow-up searches for what they need on Google, after leaving your website.
• Video remarketing:Show ads to people who have interacted with your videos or YouTube channel as they use YouTube and browse Display Network videos, websites, and apps.
• Email-list remarketing:With Customer Match, upload a list of email addresses that your customers have given you. When those people are signed in to Google Search, YouTube, or Gmail, you can show them ads.

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With a relational database like MySQL, the database architect or programmer needs to define and detail in advance where the data is going to be stored. Different tables are created, different pieces of data are stored inside different tables, and data is retrieved based on table structure. So MySQL, and other relational databases, are close to perfect. But what happens when your storage needs not so predictable? What if your applications data storage needs to be highly scalable? Relational databases don’t work quite so well in those situations.

Simplicity, Openness, Availability & Scalability
The real question is scalability and availability requirements for your database. What is amount of new users per second? Number of data updates per second, etc. Do you have to set-up replication and have database available across co-locations? With NOSQL, like MongoDB, replication and sharding setup is relatively easy and more reliable than in MySQL.  NoSQL allows to stream data into a database without defining a formal storage structure. Therefore one does not need to write as much cryptic code for an application to interact with the database. Also one can retrieve data quickly without having to tell your application where precisely to pinpoint what data you want within a large, rigid, syntactically very sensitive database structure. NoSQL DB’s also tends to scale better as they are designed to be able to run easily on distributed or clustered environments. NoSQL databases are designed to run across multiple servers – at the same time – and still appear to your application like a single database. This methodology makes it a lot easier to add more storage quickly whenever a lot more data is to be stored. This is a key advantage  when cloud & “internet of Things” devices are creating an environment of rapidly changing data storage needs. Traditional databases were designed before clusters, and “the cloud”, became the norm. Distributing databases across multiple hosts is more complicated than using NoSQL databases. Relational databases also tend to require more expensive servers, but NoSQL databases have proven to be cheaper commodity hardware. The 3rd big advantage which most NoSQL databases offer is “open source”.

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