Stack for Web App Development in 2020

Though we live in the mobile-dominated age, web applications are still prevalent and a preferred choice for enterprises for certain features. Progressive web apps is an example of the web app’s adaptability and capability to act like mobile apps. It is fair to mention that web applications are here to stay. As technology evolves, many advancements arrive for developing a web application with desired features.

Web App

However, for building a successful web application, you need to choose the right blend of technologies or a high-quality technology stack. The proper technology stack can increase your web application’s market reach and make the entire web app development project successful. The technology stack has a direct impact on the performance of the web application. Once you identify the right technology stack, you can hire full-stack web developers for your project.

Looking at the importance of choosing the right technology stack, here we cover every aspect related to the necessary factors and structure of various technologies. But, before digging deep into the topic, let’s find out the meaning of a technology stack.

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  • What is technology stack?

Technology stack is a combination of all technical components like tools, programming languages, frameworks, and technologies useful for developing customized software. When it comes to web app development, we need to think about the structure of technology stack from two aspects-

• Front-end
• Back-end

Let’s go through them one after another.

Front-end Web Development Technologies
Front-end web development enables users to see and interact with your app. Web browsers like Safari or Chrome are responsible for user interaction. As the front-end development is responsible for the user interaction, technologies used in it are known as client-side technologies.

• HTML and CSS
Hyper Text Markup Language (HTML) and Cascading Style Sheets (CSS) are like the backbone of web development. HTML is useful for designing the front-end portion of web pages by defining the link between the web pages. CSS, on the other hand, makes the web pages appealing by managing the design components. Simply put, HTML makes the web page while CSS gives style to it.

• JavaScript and Related Libraries
JavaScript is a scripting language for making the website interactive. When it comes to web app development, it can enhance the web app’s functionality. AngularJSReactJS, etc. are popular JavaScript-based frameworks that are extensively used for developing user-friendly and interactive web apps.

Backend Web Development Technologies
The back-end web development is designed to powering the front-end while enabling users to perform specific actions. This part is not visible to users, and therefore, it is known as server-side technologies.

Backend technologies consist of programming languages, servers, and databases. Here we go through some of the important programming languages and databases.

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Programming Languages

• PHP– It is a server-side scripting language. As the most popular and preferred language, PHP empowers many websites and web applications. CakePHP and Laravel are important PHP-based frameworks for developing customized web solutions.

• Java– It is also one of the most popular and useful programming languages for developing web solutions. It is a highly scalable and flexible language to build a successful web application.

• C++– It is a highly-used programming language for competitive programming. As a backend language, it is used to build a customized web application.

• Ruby– It is a reflective, object-oriented, dynamic language. Everything available in this language is in the object form. However, procs and lambda are replacements of Ruby’s components in blocs.


• Oracle– This database treats the collection of data as a unit. Oracle enables users to store and retrieve information on any query. It is useful to manage information efficiently.

• MongoDB– It is the most popular, open-source, document-oriented NoSQL database. Here ‘No’ denotes as ‘non-relational’. MongoDB is not dependent on the table-like relational database but provides a completely different mechanism for storage and data retrieval.


• Nginx– It is an HTTP and reverse proxy server, a generic TCP/UDP proxy server, and a mail proxy server.

• Apache– It offers a high-level of abstraction for processing. It also provides a high-level scripting language Pig Latin to develop a data analysis code.

After looking at various popular technology stacks, let’s go through top factors to consider while choosing the right technology stack.

  • Which Factors Should You Consider While Choosing Technology Stack?

Every web application has a different size and feature requirements. Other important factors are scalability, duration, security, and web app development cost.

Let’s discuss all the important factors for developing a web application with desired features and excellent functionality.

App Size
The size of your web app matters the most while selecting the right technology stack. The reason is simple- if your web app is large, it becomes more complex, and therefore, you need a more advanced and robust tech stack.

Small web apps– These apps consist of 1 to 3 web pages, portfolios, and other web-based solutions. Such apps do not require much time to develop.
Med-size web apps– Apps for financial sectors, online businesses, etc. fall under this category. They need a more complex and advanced technology stack than small apps.
Large web apps– Social networking apps and on-demand marketplaces are considered as large web apps. They need higher performance, scalability, and serviceability as compared to mid-sized and small web apps.

Competitive programming- Algorithm skills

We all know that competitive programming consists of coding contests and events. Under these events, participants have to write programs/codes under given specifications. Many multinational tycoons such as Facebook and Google conduct and admire CP events. Some of the most popular competitions include Google Code Jam, ICPC, Russian AI Cup, and CodeChef.


Competitive programming is majorly a sport, but a mental one. It tests your competitive spirit and competence towards a particular ability.


The oldest contest known is the ACM-ICPC (International Collegiate Programming Contest). It was held at Texas A&M University in 1970 hosted by the Alpha Chapter of the Upsilon Pi Epsilon Computer Science Honor Society (UPE). The programming language used was FORTRAN.

CP is a good platform for programmers to up their game. Competitive programming could also lead to better bids and offers in freelancing sites. Now coming to the point, here is our guide to competitive programming. This will help you make better decisions and make the best out of CP.

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Programming language

I would suggest you learn C, C++ or Java. Learning C++ is easy if you understand C easily. You should learn C++ since it has a standard template library that contains functionalities like vectors and sets. These come handy while solving specific problems.

Java is also a good option since it is used by a few top coders, and also the commands are easy to understand. So this is the first step to competitive programming. What next?

Apply on competitive programming portals

First, go for HackerRank. They have fairly easy questions, a plus for beginners. Also, its user interface is convenient.

It has a test in which there is a mixture of easy and medium questions. The questions are generally simple for someone with zero experience in competitive programming. He/she will solve the first few questions. Try to attempt all the easy level questions, and it is fine if you solve a lesser number of medium questions. Moreover, this is enough to fetch you a call from a HackerRank CP executive.

Now, apply on CodeChef and Codeforces.

CodeChef conducts long competitions, which helps a programmer improve his/her deep thinking.

Codeforces is popular for its 2-hour rounds. These contests are recommended if you want to increase your thinking and coding speed. In a nutshell, taking part in these two portals will make you a good programmer. How?

You become competent in two skills, deep thinking, and coding speed. Still, it is okay if you are interested and/or competent in any one of these portals. Because this will help you become a better programmer.

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Best practices for competitive programming

Learn new algorithms that are better and implement them when needed.

  • Use functions and minimize the repetition of code.
  • Maintain pre-written templates for standard algorithms, necessary headers, functions, etc.
  • Gain knowledge of data structures.
  • Select a programming language that you are most comfortable with.

Benefits of competitive programming

CP helps to improve your analytical and logical skills. Also, you gain knowledge of algorithms. This is a good skill to be added to your resume. Moreover, you can find equally passionate people in your journey to CP. Tech giants support CP.

Watch the video below to get an insight on competitive programming:

Competitive programming facts

  • In competitive programming, coders solve coding problems using algorithms and data structures.
  • Skills required for CP are basic math, algorithm, programming and typing speed.
  • It’s a myth that it’s too late to start CP. The fact is, there is no fixed age to join CP.
  • With CP, a coder may become a master of coding, but lack knowledge of frameworks. Frameworks are important for real-life projects.

Final word

Optionally, you can apply to TopCoder. The secret to getting proposals from Google and similar tech giants is to be consistent. Therefore, participate in contests, try to improve your rank, and build your rating.

Alternatively, you can do competitive programming on the side and also learn practical skills. Your decent CP experience combined with requisite practical skills will enable you to get all those jobs and internships you dreamed of.

Angular vs. React vs. Vue: A 2020 comparison

Last year saw the emergence of React as the front runner of the front end frameworks competition, leaving Angular way behind. But more importantly, Vue emerged as the one with the largest gain. It increased its share in the market with good growth and a high number of downloads.


What does the year 2020 have in store for them? Will we have the same result or will there be a massive change about to happen??

Read more to find out:

Before starting the comparison between the frameworks, let us have a quick review of Javascript. Javascript is a programming language. It is the most preferred language for web development. The user interface of websites is made by using Javascript. People have a higher chance of recruitment if they have knowledge of Javascript as well as Javascript frameworks.

Javascript Frameworks are of two types:

  • Front end Frameworks
  • Back end Frameworks.

Now that you reviewed the basic definition of Javascript Framework, we shall initiate the comparison of the frameworks by describing each one:

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1. Angular

Angular is an open-source, free-for-all Javascript Framework developed by Google. It is the oldest framework available in the market right now and is considered as the best framework when it comes to front end frameworks.

Angular was launched for the first time by AngularJS way back in 2010. But it lacked a lot of essential features due to the changing trends of the markets. Hence, a major change took place in 2016 when Angular2 was launched with major modifications in the previous versions.

The latest version of the Angular is Angular 8 that has reduced the lag and prompted the faster compilation of the Angular apps by using Ivy, a new compiler for Angular apps. It has also reduced its bundle size.

Since the release of React, it has faced some competition and due to the increasing popularity of Vue, it has grown slowly compared to previous years. Although, it has enjoyed the number one position for a long time in the past

Advantages of Angular:

  1. It is very easy to develop applications in Angular.
  2. Angular can distribute a single block into multiple blocks. Hence, gives the developer the ease to act on the components individually.
  3. Angular enjoys large community support since it is the oldest framework available.
  4. Since it has a component-based structure, its components can be used again.
  5. The programming quality on Angular is very high, thus it gives good programming feel to the programmers.
  6. It consists of built-in functionalities.

Disadvantages of Angular:

  1. It requires a lot of learning and study because of its complex syntax.
  2. Angular consists of a steep learning curve.

2. React

React is a Javascript library developed by Facebook and maintained by a large community of users and developers that was released in 2013. React became famous among the masses from the day it was released. It was constantly giving tough competition to Angular and the breaking point came in November 2019, when it recorded the highest number of downloads. It has been the market leader from its day of release.

Many companies use it as their primary framework tool. One of the primary features of React is the use of the Virtual Document Object Model(DOM). DOM is the basic representation of nodes in terms of HTML. It uses an extension known as JSX(Javascript XML) which allows the user to write HTML in React, which makes it easy to write applications.

React is simple to code if you know the basics of Javascript and alternate versions of React such as React Native is used to develop mobile applications. Additionally, these Javascript libraries help in improving the performance by the implementation of reusable code.

Advantages of React:

  1. It has many tools that allow the developer to play with it and make changes.
  2. React enjoys good community support and developers and users keep contributing to it to maintain its relevance.
  3. React has an easy learning curve and it doesn’t require complex study for coding on it.
  4. It has high efficiency and flexibility. Due to this, its performance improves.

Disadvantages of React:

  1. React doesn’t have an easy programming style so it is not understood by many.
  2. React uses JSX, instead of HTML.
  3. React focuses on creating UIs. Thus, you’ll need third-party libraries to make it.

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3. Vue

Vue is one of many front end frameworks of Javascript Frameworks used for improving web page interfaces. Vue was released six years ago and is developed by Evan You, a former developer at Google. While working on Angular, he noticed how heavy Angular was as it consumed a lot of power. This resulted in poor performance, so he thought of developing a lighter framework that yields higher performances.

He turned his expectation into reality. At 20KB, Vue is the lightest framework and it results in a bloat-less experience.

Advantages of Vue:

  1. Vue is the lightest framework at 20KB and simple to work.
  2. It integrates with other programming languages very easily.
  3. It is easier to work on Vue since it has an easy learning curve.
  4. Vue gives faster performance due to its small size.
  5. Users have started switching over to it over other options.
  6. It has good documentation.

Disadvantages of Vue:

  1. It has a small community of users and developers in comparison to React and Angular.
  2. It is not very flexible when teaming up with large projects.
  3. Vue has very limited features.

Comparison between React vs Angular vs Vue

  • The number of downloads– For the purpose of comparison on the basis of downloads, we would need to refer to a graph. As it is visible from the graph, React is the most downloaded framework of the three. These many downloads show the confidence of users in React. Vue comes second by a long distance, surpassing Angular.

Also, it shows that users are moving towards Vue very fast and Angular comes a distinct third. This shows that new users are not keen on using Angular and they are preferring Vue and React over Angular.

  • Learning Curve – The Learning curve is defined as the basic study you need to do before starting a framework. For Angular, the learning curve is steep because you need to learn about concepts like Model View Control(MWC). You need to know about TypeScript. It is necessary to know these concepts for advanced coding. React requires a less steep curve than Angular since it works on Javascript. It supports third-party libraries, which ease the curve. But it requires a study about JSX to do coding. Vue has an easy learning curve. This is because it is simple and doesn’t have complex code.
  • Framework Size – When it comes to the framework, the size of the libraries become an important characteristic. This is because runtime depends on the size. Angular consists of the framework of the largest size at 500KB. React comes second at 100KB. Vue is the lightest at 80KB(Bundle size).
  • Community Support – React and Angular has the largest community support because of the support from Facebook and Google respectively. They are regularly updated with one major update in six months. Vue, on the other hand, doesn’t have a huge community like React or Angular.
  • Configuration – Angular is a framework based on TypeScript. React consists of Javascript libraries. Vue is a convenient, simple-to-code Javascript framework.
  • Languages used – Coding on Angular is done through TypeScript whereas Vue and React work on Javascript.


All the three frameworks compared are good but what you prefer is entirely up to you as per the specific needs of your project’s needs. Each framework comes with its own set of advantages and disadvantages and their usage depends on how you want to use these front end frameworks.

Top 5 Approaches to Application Modernization

Digital technologies such as cloud, mobile, and Big Data are creating new opportunities for organizations worldwide.  These technologies transform businesses by improving efficiency and productivity, reducing costs and elevating customer experiences.  The need to stand out against the competition in this digital era has resulted in the growth of application modernization solutions – driving digital transformation.

Companies of all sizes are investing heavily in legacy modernization and other strategic digital solutions to mold their applications into newer, performance-oriented solutions thus enhancing customer experiences, increasing brand engagement and improving bottom-line results.


IDC estimates that worldwide spending on Digital Transformation technologies will reach$1.3 Trillion.  Also, the IDC Global Application Modernization Services Market size is expected to reach 7.7 billion by 2023.  The industries that will invest the most in digital transformation are discrete manufacturing ($214 billion), professional services ($133 billion), process manufacturing ($132 billion) and transportation ($127 billion).

What is Application Modernization

Legacy applications are typically incompatible with today’s new and continuously evolving technologies such as cloud and mobility. Furthermore, many skilled workers are retiring in the next 5 years that support these legacy systems.  Both these scenarios can limit an organization’s ability to achieve digital transformation and one way to remove this roadblock is through modernization.

Legacy application modernization refers to the process of aligning legacy software application stacks with the current business needs and functionality requirements by utilizing new technologies. The reasons for organizations to embark on an application modernization journey are plenty, however, the most common driving factors are cost reduction, productivity enhancement, and skills shortage.

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Considerations for Modernization

Most organizations continue to run on aging systems and legacy applications. The application modernization process can prove to be a daunting task without adopting business goals, strategies, and best approaches.

The most critical first step is to evaluate your current application portfolio: the current legacy environment, application/s utilization, interdependencies, data types and establish how it aligns with the current business objectives to determine the right approach to legacy application modernization.

Based on that you then prioritize your business objectives and align these objectives with the modernization path, available resources, and timelines. Your application assessment and business objectives will be critical drivers for identifying the various modernization options available.  Here are some key questions that the organization needs to consider:

  • How much business value is currently offered by the legacy application?
  • What are the current operating costs for the application (infrastructure, license fees, staff, etc.)?
  • Does the application meet your current and future performance and scalability requirements?
  • Do you have skilled resources in house to maintain the application? In 1 year? In 5 years?
  • Can the application be modified to meet your business goals in the current and future environment?
  • What are the budgetary constraints to complete the project?
  • What are timeline requirements to finish the project?

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Five Best Approaches in Legacy Application Modernization

After careful evaluation of the current legacy environment, it is critical to select the right modernization approach that will be the most beneficial for both the business objectives and the obstacles. Depending on your goals, there are five most common approaches to modernization:

  1. Rehost– The practice involves re-deploying and running the application on another physical, virtual or cloud infrastructure without significant functionality, code and features changes.
  2. Refactor – This involves restructuring and optimizing existing code without changing its external functionalities. This removes technical debt and improves the component’s features and structure.
  3. Rearchitect–This involves altering the application code to shift to new application architecture and fully utilize new and enhanced capabilities of the new application platform.
  4. Rebuild – This approach involves rebuilding or rewriting the application component from scratch while maintaining its scope and specifications.
  5. Replace– Involves the rip-and-replace approach, which usually entails replacing with a different component or package with similar functionality.

The key to understanding if your organization’s problem/s is caused by technology, architecture or functionality of the application. The best choice for companies facing the skills shortage problem above is between rearchitect, rebuild or replace. The decision will depend not only the results or outcome but the costs and risks associated with these approaches.  Modernization enables companies to meet customer demands quickly, scale to optimize application resources and value to the business and clients.

Take the Next Steps for Digital Success

Ready to start on the journey to modernizing your software?  Using an agile modernization approach with proper planning coupled with the right people on your team will put your organization on a path to digital transformation success.

The development team at VantageOne Software is experienced in modernizing legacy application and working with clients who have complex environments. Our solutions are designed to deliver increased agility, security and productivity while driving down cost and minimizing disruption to business continuity.

Difference b/w Cloud, Fog and Edge Computing

Edge We’ve heard a lot about cloud computing as the most prominent form of IoT data management. Along with cloud computing, fog and edge computing are becoming popular as well. Let’s compare these three forms of data technologies, examine their differences and benefits.


Cloud Computing in IoT Environment

Cloud computing is the standard of IoT data storage right now. It’s the form of computing where data is stored on multiple servers and can be accessed online from any device. Instead of saving information to the local hard drive on a single computer, users store it on third-party online servers.

To access data, a user needs to enter an account associated with the cloud service. The data undergoes end-to-end encryption, so even service providers have no access to the user’s contents. For the Internet of Things, this means securely storing and managing a lot of data and having immediate access to it from multiple devices, anytime, anywhere.

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Difference Between Fog And Edge Computing

These computing technologies differ by their design and purpose but often complement each other. Let’s take a look at edge computing vs fog computing and analyze their purposes and differences.

Fog Computing

The term fog computing was coined by Cisco, and it defines a mix of a traditional centralized data storage system and Cloud. Computing is performed at local networks, although servers themselves are decentralized. The data, therefore, can be accessed offline because some portions of it are stored locally as well. This is the key distinction between fog computing vs cloud computing, where all the intelligence and computing are performed on remote servers.

Edge Computing

Edge computing processes data away from centralized storage, keeping information on the local parts of the network — edge devices. When the data is sent to the edge device, it can be processed directly on it, without being sent to the centralized cloud.

How do fog and edge computing work?

Fog computing is useful when the Internet connection isn’t always stable. For instance, on connected trains the fog system can pull up locally stored data on areas where the Internet connection can’t be maintained.

How is data processed by fog computing?

  • Urgent requests are sent directly to the fog and processed locally in the network;
  • Less sensitive data is transferred to the cloud’s main data centers where it’s stored and analyzed;
  • Under normal conditions, the majority of data goes to the cloud, local storages are used in scenarios where saving bandwidth is a priority.

Fog computing allows to implement data processing at the local networks, especially if it has to be processed in real time. This is what makes this storage form incredibly stable under stressful conditions, especially when comparing cloud vs fog computing.

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Advantages of fog computing and edge computing

Edge and fog computing are less known than cloud but have a lot to offer to businesses and IoT companies in particular. These networks solve many issues that can’t be solved by IoT cloud computing services and adapt the decentralized data storage to particular needs. Let’s examine their benefits individually before comparing these systems side by side.

Benefits of fog computing

  • Low latency. The fog network can process large volumes of data with little-to-no delay. Because a lot of data is stored locally, the computing is performed faster.
  • Better data control. In cloud computing, third-party servers are fully disconnected from local networks, leaving little to no control over data. In fog computing, users can manage a lot of information locally and rely on their security measures.
  • A flexible storage system. Fog computing doesn’t require constant online access. The data can be stored locally or pulled up from local drives — such storage combines online and offline access.
  • Connecting centralized and decentralized storage. Fog computing builds a bridge between local drives and third-party cloud services, allowing a smooth transition to fully decentralized data storage.

Many companies focus on edge computing on their way to decentralization, whereas others adopt fog computing as a main data storage system due to its high speed and increased availability.

Benefits of edge computing

  • No delays in data processing. The data stays on the “edges” of the IoT network and can be acted on immediately.
  • Real-time data analysis. Works great when large amounts of data have to be processed and immediately.
  • Low network traffic. The data is first processed locally, and only then sent to the main storage.
  • Reduced operating costs. Data management takes less time and computing power because the operation has a single destination, instead of circling from the center to local drives.

IoT edge computing is an optimal solution for small immediate operations that have to be processed with millisecond rates. When many small operations are happening simultaneously, performing them locally is faster and cheaper.

Role of Internet of Things and cloud computing

Cloud computing and IoT are often talked about in conjunction because the two technologies support each other. Internet of Things relies on different Cloud services store and analyze IoT device data and metrics, enable automation, etc.

Let’s see how cloud computing and IoT bring benefits to business and end-users, and why it’s advantageous to use them together.

  • Increased scalability. IoT systems produce and exchange a lot of data and require a lot of storage space to seamlessly function. Internet of Things services on Cloud platforms like Microsoft Azure IoT Suite, Google Cloud’s IoT service, and IBM’s IoT platform provide access to powerful cloud services able to handle all this IoT data.
  • Improved safety. IoT services should rely on safe data storage able to prevent hackers from trying to access and jeopardize the system. Decentralized storage represents one of the ways to secure sensitive resources.
  • Enable IoT. Decentralized data storage corresponds with the main IoT needs, such as accessibility, safety, mobility, and scalability. Cloud services process massive amounts of data and quickly distribute the information among multiple servers, where it can be later accessed by a connected device anytime.

What is Google Tag Manager (GTM)?

Google Tag Manager is a free tool that permits you to manage and deploy advertising tags on your website or mobile app without having to change the code.


What Is Google Tag Manager?

Google Tag Manager (GTM) is a tag management system (TMS) that permits users to simply add and edit snippets of custom or templated code–called tags–to a website. Tags can add analytics tracking, manage promotion pixels or make additional site functionality. GTM contains dozens of predefined tag templates needing no custom coding.

Components of tags & GTM

On the surface, tags and tag managers are attractive frank. But before you can start at work with them, there are a few key concepts you’ll prerequisites to distinguish about.


When you start working with GTM, the initial thing you’ll need to do is generate a container. A container basically “holds” all the tabs for your site.

After making a new container, GTM stretches you some code to add your site. This is your container program and it will essential to be added to the source program so it shows on each page of your site. Once you have completed, you’ll be able to add, manage, disable, or eliminate your tags as needed through GTM.


Each tag on a site wants to serve a specific resolution. Maybe you want to have a tag lead information when someone downloads a file, when an outbound link is connected, or when a method is submitted. These sorts of actions are known as triggers and all tags essential to have at least one trigger allotted to it. When you go to organize a trigger in GTM, you’ll be specified a long list of types of triggers to select from. These are events. Once you pick an event, you’ll be able to establish your filter.

Variables & constants

While tags depend on triggers, triggers depend on variables. Variables hold the value of a trigger wants to estimate to know whether or not it would fire. The tag relates the worth of the variable to the value defined in the trigger and if the variable sees the conditions of the trigger, the tag will fire.

Data layers

A data layer is a JavaScript object which preserves the information tags that need to be isolated from the rest of your site’s code. Since tabs don’t have to occupy time searching over the HTML to find the info they need, this is one more way GTM can aid improve site speed. Instead, all they’re viewing for can be found in one place and it’s eagerly available when the page loads.

The Pros and Cons of GTM

Reduces Reliance on Web Development

By far, the main benefit to Google Tag Manager is that it makes it easier for marketers to implement tags deprived of having to rely on web developers to fix it for them. Developers are typically busy with other high-priority developments, so tagging frequently ends up on the back burner. But since Google Tag Manager supports you avoid moving the source code, marketers can speedily add and make variations to tags on their own.

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Still Requires Some Technical Implementation

Even though GTM aids to reduce the dependence on developers, it doesn’t eliminate it. While GTM has a lot of tag patterns to choose from which are calm enough for a non-developer to work with, more compound modified tags will probably require the help of somebody who realizes coding. If you have existing tags that were automatically added to your site’s source code, those will need to be detached first so that you don’t end up with replica data.

Most Businesses Can Benefit for Using It

Businesses of any size can benefit from GTM. Since GTM types it so much easier to improve and edit tags shorn of a developer, it’s great for smaller businesses that might have partial access to technical provision. And since sites for enterprise-level businesses can simply use lots of tags, GTM makes it calmer to manage them all and expands site speed by helping them load more proficiently.

Tags Can Slow Down Site Speed If Fired Synchronously

One problem with traditional following tags is that if they fire synchronously, they can slow down site haste. When tags fire synchronously, one tag being deliberate to load slows down all the other tags that are to come on it. And the lengthier site takes to load, the more likely it is that persons will leave without changing. But tags formed in GTM load asynchronously by defaulting, meaning to each tag can fire anytime it’s ready to.

Used for AMP Sites and Mobile Apps

You’re not even restricted to just using GTM with usual websites. GTM can also be cast-off to manage tags for AMP places and mobile apps. In the case of mobile apps, GTM can be a vast help since it allows you to add and edit your tags without having any problem in an updated version of your app, which users might not be fast to download.

Working with GTM

Creating a Tag

When you generate or select a container, the initial thing you’ll see is the GTM dashboard. We’ll finally get around to chatting about nearly everything you see here, but let’s start by creating a tag. Click “Add a New Tag” to exposed up a window where you’ll be clever to name and configure your tag.

Previewing, Debugging, and Publishing Tags

GTM’s “Preview & Debug” method lets your exam tags before publication so that you can make sure everything is employed correctly and that you won’t have any mistakes throwing off your data. To enter “Preview & Debug,” click the “Preview” key in the upper right corner of the GTM dashboard and you’ll see an orange banner informing you that you are now in “Preview” mode.

Even later a tag has been published, Google still creates it easy to go back and checked to make sure there aren’t any difficulties. Google Tag Assistant is an allowed Chrome extension and after it’s installed, you can visit any page on your site and it will show you if your tags are working properly or if any developments could be made.

Workspaces, Workspace Changes, and Activity History

If you have many people working on a tagging project at a similar time, workspaces can help make life a slight easier.

In older types of GTM, all controls had to be complete in a common container draft. If one person or team completes adding tags earlier another person/team, they couldn’t publish their new tags without also publishing the other team’s tags-in-progress. But with workspaces, many users can work on tagging at the equal time without interfering with each other’s work.

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Reasons Why Google Tag Manager Is Special


Not to concern, it’s together free and awesome! Google Tag Manager consumes a multitude of robust structures, with usability, accounts and user characters, tag firing rules, and maintained tags

Do It Yourself

Addition the container tag once, make variation whenever you need without much bother, and voilà! With the presented debugging tools and preview mode, you can be definite of what you’re doing formerly you publish it.

Forget About Limitations

You can use Google Tag Manager with more than just Google goods. Take a look at the other predefined tags, such as comScore, Marin, AdRoll, and extra! You can similarly add Tag Manager to not only your website but also to your iOS and Android apps. You’re truly limitless.

Features with Google Analytics

Google Tag Manager types it easier to implement nearly of the more difficult Google Analytics structures, such as User ID tracking. User ID chasing gives you the capability to measure real customers instead of devices. Tag Manager also supports common tasks in Google Analytics, such as Cross-Domain Tracking, Custom Dimensions, for many sites that are followed together in Google Analytics, and Enhanced Ecommerce that needs collaboration with developers.

Easily Track More Things

With so many great properties available on the web it’s easier than ever to track effects like YouTube videos on your site, AJAX form submissions or print tracking.


Google Tag Manager has all of the safety features of your necessity. One awesome feature is two-factor verification that needs both your normal PIN and then a numeric code that you obtain via a text voice call, message, or mobile app. You are also able to switch the access by conceding dissimilar levels of approval at both the version and container levels.

Cool Things You Can do With Python

Python is a very flexible programming language, with an excess of usages in a diversity of different fields. If you’ve grasped the fundamentals of Python and are eager to build something with the language, then it’s time to figure out whatever your next step should be.


As we know there are many languages are already present in the computer world as well as new languages are emerging too. That’s why our attention gets stocks what linguistic should we learn and what is the scope of that particular language.

Scientific and Numeric Computing

Data analytics falls under technical and numeric calculating. To shape somewhat in this niche, you can take benefit of SciPy for mathematics, engineering, and science. Computing is similarly a data examination and displaying library, so there’s a many profitable on with Python in data science.

If you essential to edit and recode a work meeting, you can use Python which is a powerful communicating shell. It also provisions parallel calculating and imagining.

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Machine Learning

Cool stuff like finding fingerprint IDs, predicting stocks, and junk mail detection can all be got with Machine Learning. Coders can set this up by captivating the benefit of Python modules like Scikit-learnTensor flow, and Theano to support it.

Game Development

– Python language is good for game development.

– Game development in python is a beautiful task than doing the alike in an additional language.

– We can create simple 2D games using images and simple interpretation as well as can make 3D

Web Scraping

If you want to take information from a website but the website does not have an API to representation data, you can use python for rough data.

Data Science

  • Python is a leading language for many data experts.
  • From years’ theoretical scholars, python investigators are using the MATLAB language for scientific research.
  • Python also agreements with tabular, atmosphere as well as statistical data.
  • So, imagination guys, you have a large quantity of data let’s say Terabytes to Petabytes of data, and you can effortlessly gain insight into it.


Scripting usually mentions to writing small programs that are intended to mechanize simple tasks. So, let me give you a sample of my knowledge here. I used to work at an unimportant startup in Japan where we had an email provision system. It was a system for us to answer to questions clients sent us via email. When I was employed there, I had the task of including the numbers of emails covering certain keywords so we could examine the emails we conventional.

Create A Calculator

This humble project is a solid gateway to GUI programming. Assembly back-end services are one important part of the placement, but there may be a front-end that requirements to be taken into the explanation. Generating requests that employers can easily interconnect with is paramount

If you’re engrossed in UX and UI design, formerly take an arrival at this tutorial. You’ll be working with the Tkinter module, the normal graphical user borderline package that comes typically bundled with Python.

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Python for Mobile App Development

Most of us regularly think that, can we make portable apps? If this query was asked earlier then the reply might have been no, but currently, the skills are growing quickly as a consequence we can shape moveable apps by earnings of python.

Two categories are used for creating mobile apps.

Kivy: It is an open-source library for emerging cross-platform GUI applications. It permits you to write pure-Python graphical applications that run on the main desktop platforms (Windows, Linux, and macOS) and iOS & Android.

BeeWare: It is the additional GUI and mobile expansion framework. It bids you a set of tackles and an idea layer you can use to copy out native-looking mobile and desktop.

Big Data

  • You all are previously familiar with big data, the status of big data doesn’t turn around how much data you have, but what you do through it.
  • Big data is data groups that are so big and multifaceted that outdated data-processing application software is insufficient to deal with them.
  • Big data tasks include catching data, data storing, data study, search, distribution, transfer, updating, visualization, querying, information privacy and data source.

Web Development

As Python is an Object-Oriented (OO) language, so anybody starting will discovery it easy to play laterally with OO perceptions. More experienced coders will be clever to use it for Machine Learning (ML) algorithms and investigation as well as Big Data study and analytics.

When it arises to web development, it’s a limitless choice since you have a lot of selections like Django and Pyramid to effort with. So, you can build a cool website from scratch without feeling overcome. You can also take benefit of micro-frameworks like Bottle and Flask.


Python can be castoff to code a Raspberry Pi to perform as the aptitude of a robot. By doing this you can get the robot to respond to its atmosphere and perform many actions.

Integrated Cloud Solutions

Businesses in virtually every industry need to constantly seek leaner and faster solutions in order to succeed. Integrated cloud solutions are at the forefront of the evolution of data and applications, offering benefits such as increased flexibility, better scalability and improved access to information.

integrated Because cloud integration breaks down data silos and bolsters connectivity, it’s easier to share data across various applications or unify data from disparate sources into a single location. It’s clear that implementing integrated cloud solutions can be a great boon, but how do you begin the process? Here’s what you should know if you’re interested in achieving cloud integration within your company.

Main Types of Cloud Integration

There are two main types of cloud integration: data integration and application integration. Or, you could employ some combination of the two. Let’s take a look at the options:

  • Data Integration: Here, the goal is to share or unify data across various repositories where data is stored. The data integration process allows you to transport and transform data in order to unearth valuable business insights using Predictive Analytics (PA). Cloud data integration gives companies more options in terms of how to leverage their data since businesses can access data from their various teams in one place.
  • Application Integration: This involves connecting two or more applications and allowing them to share their functionalities and operations. Unlike data integration, application integration issues requests and commands that lead to improved business processes. In application integration, a company can combine its supply chain management tools with its customer relationship management systems in order to streamline operations. Application integration makes it easy for businesses to share data with the goal of automating processes.

Companies that offer logistics and delivery services may be better suited for cloud data integration to determine how to get a product from one location to another with the least amount of hassle. Financial and education companies may benefit more from cloud application integration to more easily unify various tools for managing client or student accounts.

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Benefits of Integrated Cloud Solutions

Cloud integration offers a slew of benefits to businesses that choose to take the plunge, including:

  • Keeping Company Information Up-to-Date: Moving applications to the cloud allows them to synchronize with each other, making sure that users can always find the most recent data. If a user makes a change on one application or dataset, this change is reflected in other applications or datasets immediately.
  • Automating Operations: Cloud integration automates a number of manual operations while increasing their accuracy. For example, cloud integration could automate the process of integrating new employee payrolls, updating tax records and creating new email accounts. This saves time for employees and increases the efficiency of interactions between datasets or applications.
  • Cutting Costs: With cloud integration, businesses can cut costs and focus on more customer-centric work. Most companies spend a fortune to keep their operations running smoothly with a team of workers tasked with ensuring that all software runs smoothly. However, cloud integration tightly integrates a company’s processes so it takes less middleware and talent to manage it.
  • Scalability:  Cloud integration makes it easy to scale up or down, depending on a company’s requirements. This means a company can buy as much or as little cloud bandwidth based on customer demand and easily make adjustments as needed.

By leveraging integrated cloud solutions, your business will be able to keep up with the competition or even surpass competitors who have failed to upgrade their systems.

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The Cloud Integration Process

The cloud integration process varies from business to business, as the right development team will tailor the process to your specific needs. However, there are various requirements that the cloud integration process typically includes.

First, your company will have to find the right connectivity protocols and techniques to fit your business requirements. This means you will need to find a way to connect applications and data in a fast and easy manner that doesn’t require a lot of maintenance. Talk about this with your developer, as they can help you find the best solution for your goals.

It is also necessary for your business to transform the format of its data and applications into one that fits that of the cloud environment you will be implementing. For example, when you migrate customer information, it’s important to know whether a customer ID number is numeric or has alpha characters. Once you know this, you can properly determine how to transform the ID number in a way that is consistent across various applications.

You will also need to create a service-level agreement (SLA) that supports the new, combined environment. Such an SLA should consider security, governance, performance and management of your cloud environment.

Top 3 Afford­able Doc­u­ment Scan­ners in India

Top When it comes to scanning a couple of documents and photos, most smartphone apps can easily take care of the job. However, when it comes to scanning a load of documents on a daily or weekly basis, apps certainly not the most efficient. That’s when a scanner comes in the picture. Flatbed scanners are efficient in scanning multiple pages and photos at once. And their slim profile makes them portable.TopThen there are the all-in-one printers (Multi-function Devices), which let you taste the best of both worlds – printing and scanning. So, if you are looking for an affordable scanner, here’s a list of best scanners and printers. Let’s take a look.

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The LiDE 400 has an optical DPI of 4,800. The scans are vibrant, well-detailed, and pretty accurate for its price.

Also, it’s fast. As per the folks at Windows Central, a document scan takes approximately 8 seconds and a photo scan takes around 4 seconds. The LiDE 400 has an optical DPI of 4,800 dpi and the photo scans are vibrant and well-detailed.

It has a slim profile and weighs about 1.7 kg. That means, you can easily carry it with your laptop when the need arises. Plus, the kickstand at the back lets you put it in an upright positioning. And yeah, you can even scan when it’s in the upright position. Reviews have been good for this product, thanks to its ease of use. However, a few folks did face some setup issues.

However, you have to follow a certain set of steps for that. I recommend that you should connect the cable only after you install the driver. Note that the LiDE 400 lacks Wi-Fi support which might be a deal-breaker.


Here, the color reproduction is almost accurate with sharp picture quality. The scanning speed is not super-fast. But, it gets the work done with the Perfection V39 Scanner taking around 15-20 seconds per scan. Also, its small form factor means it occupies the least amount of space on your table.

It also packs a pretty cool slew of features. For example, the scanner can immediately recognize when you place a bundle of photos and saves them as individual files. Quite useful.

The scanning speed is not super-fast. But, it gets the work done with the Perfection V39 Scanner taking around 15-20 seconds per scan. Also, its small form factor means it occupies the least amount of space on your table. It also packs a pretty cool slew of features. For example, the scanner can immediately recognize when you place a bundle of photos and saves them as individual files. Quite useful.

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It also bundles several useful software features to tweak the scanned images and sending documents to the cloud.

The quality of the scan is decent and so is the speed. Each scan takes about 10 seconds (at 300 DPI). Like its counterpart, the LiDE 400, this scanner too has seen its share of setup issues. You have to be careful when connecting the scanner. Note that the Canon software can be a little limiting when it comes to scanning photos. In a nutshell, the LiDE 300 is best for scanning office documents and sketches.


Plus, the printer setup is pretty simple. And the scanning and printing functionality works as advertised, with many users confirming that in their experience. However, the only point of concern is the cartridge levels. This printer seems to run short of ink even when used sparingly.


Whether it’s digitizing your old photos or creating a soft version of your important documents, scanners are useful in more than one way. So, these were some of the best scanners available out there.

Top 12 Benefits of Custom Software Development

The development of custom software is very much what it sounds like. Custom software is described as an individualized software solution designed to meet the specific needs of an organization. Custom software solutions are special, creative and capable solutions that go beyond the default and off shelf solutions. Custom software generally designed for a single customer or group of customers who decide what kind of features and processes the software should have.


A business typically chooses to build an in-house custom software solution or outsource the development to experts who have the tools and skill sets to complete a project from beginning to end. While selecting custom software development requires time and money to be invested, these results in an invaluable end product that can bring great ROI and is exactly what your business needs.

Custom Software Development: The Details behind the Definition

Custom solutions tailored with the company and tailored to provide specific set of needs. While the exact meaning of custom software development that vary depending on the company and its specific requirements, any of the following may be included in the definition of custom software.

  • A creative solution that acts as a competitive edge
  • A way to solve business problems that were previously insolvent
  • A new revenue outlet
  • A tool for building brands
  • An interactive tool for engagement
  • A major boost to productivity and efficiency
  • A way for data, systems and processes to be integrated and consolidated

Why Made Customized Software Development Unique?

There are advantages and disadvantages of buying off-the-shelf software packages versus designing specialized software from a reputable Software Development Company to match your business needs. While you do not have to spend time developing your code with the development team, you can get started immediately in case of ready-made apps. Nonetheless, in terms of end-user specifications, these programs are standardized and may provide some functionality that may not exactly fit the unique requirements.

Therefore, even after spending money, you may still have to struggle with certain aspects of business automation, as some features in your ready-made software may not be available.

Let’s Explore The 12 Benefits of Custom Software Development

  1. Custom Software is More Flexible & Scalable

In terms of what you can develop, custom software is limitless. As a business grows, custom software can grow. It comes with boxed software. If your needs are not met, in addition to your boxed solution, you may need additional plugins or custom development.

  1. Reliability

Over time, the ability to maintain and implement your business processes helps you eventually succeed. Reliability is a key determinant for success. Proper testing of your custom software ensures that your business can grow with a successful IT tool.

  1. Uniqueness

Every business is we find are unique. In terms of business processes, there is no one-size-fits-all approach. Your working model can be complemented by a code designed to match your unique needs. Developing custom technology also helps support your “unique” brand identity.

  1. Adaptability

Organizational processes change over time and it becomes necessary to adapt to new processes and technologies in order to maintain your marketing stronghold as the market dynamics change. Custom software can be easily changed–as and when marketing trends change, new processes and technologies can be integrated into your existing software, so you can stay up to date with your competitors.

  1. Optimized Business Process

Each company has its own business model and processes in-house. Changing their procedures to fit a specific software program or framework is very difficult for organizations, however effective and strong it may be. Technology must therefore be designed and developed in such a way that it can comply with the business model and adopt the particular internal processes of the company. Custom software development helps to optimize rather than replace your business processes.

  1. Invention

Since the software is completely customized, you can decide which type of software development technology to use to design or development of app. You can choose and select trend-setting disruptive technologies to model your custom app and make it work the way you want it to.

  1. Emphasize Your Business Acumen

The very fact that you are interested in developing technology according to your business needs sends a strong message that you value your processes in-house and take your work seriously. This highlights your commitment to your company as you streamline your process flows and work model so that it can work smoothly.

  1. Compatibility

Majority of the organizations consider an architecture model in which the outputs generated by a specific process (software app or module) function as an input for a different process. A smooth flow of information is important because the business model is streamlined. Use different “packaged” software for different processes can interfere with your data flow, as a hybrid application network often has to rely on gadgets and devices from third parties to facilitate communication between different processes and systems. Building a custom software environment can solve many types of issues between successive processes related to the flow of information.

  1. Exclusiveness

In one company, what works best does not need to work for another. You may be following other protocols that others are not following. Software developed exclusively for you ensure that all of your activities and processes tailored to and automated according to your needs.

  1. Flexibility

You do not have to mold your work to suit specific software – it is easy to change your software to suit your needs as and when needed, provided its custom made.

  1. Security

Data access and security concerns are a major concern for many B2B and B2C businesses, affecting many end-users on the market today. Online transactions want to ensure that their transactions are at all times safe and secure. Supporting expensive security protocols can result in additional costs being passed on to your customers ‘ services. This can cause you to lose the market’s competitive edge. In addition, it is also necessary to regulate the flow of data within the organization’s internal processes by implementing strict security standards. With the creation of customized software, you have the power to decide which data security technology or protocol is ideally suited for your company and to incorporate it into your code.

  1. Cost effectiveness

With customized development, the development process can be planned and phased. First of all, you don’t have to spend a huge sum of money to reap the benefits of automation. You could begin automating individual system flows in a structured and timely manner over time to make production feasible through accessible software development services and solution based on your budget and funding availability.