IoT: Customer Security Concerns & Solutions

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What is IoT ?

IoT refers to the Internet Of Things. It is a system of interrelated computing devices, digital machines and also objects. These are provided with unique identifiers. It has the ability to transfer data over a network without requiring human to human or human to computer interaction. IoT devices are dedicated to work in concert for people at home, in industry or also in an enterprise. These devices are categorized into main groups: consumer, enterprise and industrial. Consumer connected devices include smart TVs, smart speaker, toys and finally smart appliances. Other technologies includes, smart air conditioning, smart thermostats, smart lighting and smart security, span home, enterprise and industrial uses.

Today, IoT development is necessary in situations where an internet connection and also computing abilities can extend to all kinds of sensors and devices. Driverless cars, recipe – suggesting refrigerators, efficient electricity regulation through smart algorithms in residences, restaurants and also at public places, wearable gadgets are all the applications of IoT.

IoT security issues-

IoT Security

Attacks on the IoT Ecosystem have increased exponentially in recent years. Malware, such as Mirai, shown that by trying a device’s default username and password or a simple dictionary attack can allow to access millions of devices. Due to this misuse of the customer information within a device takes place. In case of smart home, sending 600,00 malicious spam mails and hackers can hijack a car. One can hack into different remotely controlled insulin pumps which are used to deliver medication. Similarly, fitness products can help to track the user’s exact location and so causes their lives in danger.

Simply understanding the technical parts of attack is also not sufficient. Everyone should be aware of the domain, purpose and also motive behind using these purpose-built devices to disrupt the entire network. Such devices have limited computational power. Hence they, cannot run robust protection mechanism like antivirus, two factor authentication and key certificate exchanges. As a result, target consumers gets more easy. Many users are not aware about the security. They do not use strong passwords, and many times devices are not fixed.  

1. Cloud Attack-

Data stored in the cloud are of large amount. In such cases, cloud providers will be one of the principle targets.

2. AI built security issues-

Despite the fact that the risk size of ransomware has officially grown multiple times in the course of the most recent year  with ransomworms and different types of attacks, there is something else entirely to come. The next big target for ransomware is to be cloud service providers and other commercial services with a target of creating revenue streams. The complex hyperconnected network cloud providers can produce a single point of failure for many businesses, government entities, critical infrastructures and also for healthcare organizations.

3. Botnet Problems-

Many new connected consumer devices make a wide attack opportunity for hackers. These hackers will continue to test the connections between low-power, somewhat dumb devices. The main security challenge is the creation of Distributed Destruction of Service (DDoS) attacks. This will use swarms of poorly-protected consumer devices to attack public infrastructure through massively coordinated misuse of communication channels. 

4. Understanding IoT-

In 2019, the main issue is how to increase the ability for people to understand the changes and their implications more clearly, and to take strong actions that take advantage of the potential upside.

Solutions-

1. Initial Caution-

Software authenticity can be verified using digital signatures. Digital signatures will verify that only authorized software will be installed on a particular device. Prudent steps would thus be able to be executed with the devices yet requiring security from data-breaching elements. 

2. Access Protection–

Access control systems are built into an Operating System to allow the use of select resources required for the application. If any component is exposed, access control will assure check that the intruder gets minimal access to other system sections. Access control in devices relates to the mechanisms in network-based access control. This states that even if network is accessed through stolen credentials, the information will be limited to the person’s authorization areas.    

3. Authentication-

Auto- authentication is necessary when a device is connected to the network, especially before transferring or receiving the data. Machine authentication means, how we can ensure that the devices are correctly identified before authorization. This can be done even as network access is allowed to the device, stored in a dependable, safe storage area.

4. Protocols and firewalls-

A firewall is basic for traffic control. Firewall directly identifies the device performance. A deeply strong embedded device will have distinct rules, different from enterprise IT protocols. The device needs to filter data meant for end on that particular device. This also guarantees the efficient use of the available computer resources. 

5. Protecting the Enterprise From IoT Threats-

The issue with IoT gadgets is something other than an issue of  protecting enterprise devices. Businesses should consider two factors. Organizations never deploy the IoT devices they own with public IP addresses or outside of firewalls. Firewalls must protect all devices including IoT to block all incoming traffic from the internet to prevent these devices cannot exploited since incoming traffic can’t get through a properly configured firewall. 

The next factor is- IoT devices that enterprise does not own. These devices will grow with billions of numbers in the next few years, can be conscripted into botnets. And these are fully capable of doing every hacking that in general done on the computers. Similar to the treatment of any other unknown device, these devices can be treat also.

Conclusion-

Customer security is an important factor with the use of IoT. Thus to be secured from threats one should be aware of these security issues and solutions.

At Solace, IoT Development is a strength of ours in which we take great pride. If you’re interested in adopting IoT for your business, then you might need some help getting started. Solace experts will be happy to give you the solution, and set you on your way to business innovation. Contact us for any IoT development, will surely help to achieve your goal.

Deciding the need of a Big Data Infrastructure

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What is Big Data?

Big data is characterized as the data that can not be prepared by customary methods and systems, because of its large size and complexity. The word Big in big data means petabytes or exabytes of data. It is calculated that nearly 90% of the data that we have today has been generated in the last two years. This implies; exponential growth in data volume is going to proceed. This growth will increase further with the increase in IoT (Internet Of Things).
Data analytics mainly uses Big Data. It gives necessary insights into business operations of any business. It helps businesses in growth, competitiveness and profitability.

Need of Big Data –

There are many challenges for handling a huge data in applications. Big data is no longer growing trend. This is now time-tested, accepted with a sound, secure, stable architecture. It is synchronized with information, generating efficient analytics by organizations, ranging from data oriented start-ups to big technology giants around the globe. There are many tools on the internet, there is considerably more to it than Big Data alone.
If you hold a large amount of various data, and from this you need to find out answers at fast, you may look at the opening gates called “the three V’s” of the data. This means that you are ready to look at better solutions that fulfils your need of data. Can you say that it is enough? Of course not.
Do you want to turn your existing application asset to a bigger store for a theoretically possible performance? How big are your existing data security issues and how would you deal with the same on the new infrastructure? Is your data “big” enough for these solutions? Such questions carry you to a point where you have to think about a couple of significant things. You realize that first, the idea of building an efficient big data infrastructure, lies the need to build a decision on whether to present a big data infrastructure or not.

Why you should need big data in an organization?

Organizations or businesses requires a big data services to allow them to survive in a fast growing and increasingly competitive market where the sources and the requirements to store data are growing at exponential manner. To handle high volumes, the data storage should be elastic and scalable. Cloud based storage is a better idea for most businesses because it reduces investments. There are no physical systems on site, means that it saves space and power consumption. It handles the data security issues. You require tools to enable virtualization and carry out data compression. You should require object-based storage architecture to handle a large amount of files. organizations are looking out for the solution that can store complex unstructured data and which do not have predefined schemas.
Big Data solutions do not force a schema onto the stored data. Instead you can store any type of structured, semi-structured or unstructured data and then apply a suitable schema when you query this data. Big data solutions store data in raw format and apply a schema only when the data is read. This preserves all information within the data. This is contradictory to the way of traditional database.

Data Magnitude Determination-

In 1997, the first documented use of the term “big data” appeared in paper by scientists at NASA. It describes the problem facing by them with visualization. Generally data sets are large, taxing the capacities of main memory, local disk and remote disk. This problem is Big Data. When there is a situation like data sets don’t fit in main memory, or when they do not fit on local disk also, in such cases the solution is to acquire more resources.
Another most important factor is what you want to do with the data. The problem is big data solutions is that they are numerous. Getting the perfect tool is important for the cost, efficiency and delivery constraints also. Creating an understanding of these factors is a main requirement of big data infrastructure requirements.

Necessity of Advanced Analytics-

An interesting thing that gives thought on analytics is- one of the financial services firm which turned to big data to better identify which new client opportunities warrant the most investment. The organization enhanced its client statistic information with third party data purchased from eBureau. The data service provider appended sales lead opportunities with buyer’s occupation, earnings, age, retail histories and also related factors. The advanced data set is then applied to an algorithm. This identifies which new client leads should receive additional investment and which should not. The result has been 11% hike in new client win rates. At the similar instance, the firm has lowered sales related expenses by 14.5%. 
There are some benefits that big data analytics offer are – Getting answers to complex business problems, creating cost effective requirements to bring in more customers, analyzing existing values to predict faster and better business decisions, and also exploiting machine learning analytics to make self learning systems.

Right time for data transition and security issues-

Data-driven transition must start with your business goals and also objectives. As you understand your business objectives then you are ready to create a roadmap for leveraging new data sources to help you achieve them. Also, technology is not only enough to transform your organization into a data-driven organization. Creating a platform that understands data, securing the data and how to use it is just as necessary. The challenge of detecting and also preventing advanced persistent threats has bought the importance of security responsibilities in light.

Conclusion-

Data is expanding and so is the necessity of organizations managing it rises. Some of the technologies like IoT applications, web and cloud analytics, image processing, data science etc. are also growing rapidly. And it realizes the necessity of data mining. Technology solutions are rapidly growing and with the same speed big data technologies are also rapidly evolving.
Are you looking to develop a web application for your business having large amount of data? Just relax, Solace experts are capable of incorporating big data for web solution. They believe in benefits of using big data. Contact us for web development of your business where there is a need to deal with big data.

PHP 7: Cool & Exciting Features

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Php community is very happy with the new release of latest release PHP 7. It doesn’t mean that PHP’s old version has not been working properly. On the contrary, some little bit changes in the next version brought many changes to its features. These new changes are about the support of Object-Oriented programming and many features associated with that. PHP 7 beta version was released on November 12, 2015. It has been making technical decisions since then. PHP 7 has taken huge improvement in matters related to speed and performance.

The blog is all about the clearing doubts you may have about what all changes and updates you can expect from PHP 7.

The Zend Engine-

To increase the performance of PHP applications, PHP 7 uses the latest Zend Engine having code-name as PHPNG(PHP Next-Gen). It doubles the performance of PHP.

PHP 7 twice as fast as PHP 5.6 –

PHP 7 runs applications faster in performance as compared to  those running on PHP 5.6. This is because of the new PHPNG engine. According to PHP founder Rasmus Lerdorf, the upgrade means using less number of servers, while still serving the same number of users. The Just-in-time compilation (JIT) is another speed catalyst, which allows run time compilation before execution. 

Dependable 64-bit support-

As it provides dependable 64-bit support means no more slow data operations. Due to this, arrays and variables are more ably handled. Applications that require large data arrays will get benefit of it. For eg., Scientific applications, data management, digital media related and CAD-like functionality programs. Performance is increased and this is because of the 64-bit.   

New Features of PHP 7-

1. Anonymous Classes-

1. Anonymous function is for creating the scope to create anonymous class objects, especially in creating one-off objects. Support for this feature has been added in PHP 7.  By using efficiently, they can execute and code quickly.

      //Pre-PHP 7 code-

    Class Logger

      {

         public function log($msg)

            {

                echo $msg;

            }

      }

$util->setLogger(new Logger());

//PHP 7+ code

$util->setLogger(new class 

{

      public function log($msg)

       {

           echo $msg;

       }

};

2. Return Type Declarations-

This is another one developer-friendly add-on. Most of the developers prefer declaring the function’s return type. Any type, including objects and arrays can be returned. As a result, the execution works faster and passing control to the line from where it is called. 

function arraysSum(array…$arrays): array

{

          return array_map(function(array $array): int

    {

            return array_sum($array);

    }, $arrays);

}

print_r(arraysSum([1,2,3], [4,5,6], [7,8,9]));

/* Output

Array

(

[0] => 6

[1] => 15

[2] => 24

)

*/

3. Group Use Declarations- 

This new feature is for those developers who want to use the same namespace to import several classes. Code is relatively neat and it also saves the typing time. Debugging of the code get easier because of the group use declarations. This helps to identify imports that are part of the same module. Example is as follows:

// Pre PHP 7 code

use some\namespace\ClassA;

use some\namespace\ClassB;

use some\namespace\ClassC as C;

use function some\namespace\fn_a;

use function some\namespace\fn_b;

use function some\namespace\fn_c;

use const some\namespace\ConstA;

use const some\namespace\ConstB;

use const some\namespace\ConstC;

// PHP 7+ code

use some\namespace\{ClassA, ClassB, ClassC as C};

use function some\namespace\{fn_a, fn_b, fn_c};

use const some\namespace\{ConstA, ConstB, ConstC};

4. Scalar Type Declarations- 

This is a new feature which makes use of strings, floats, integers as type hints for methods and functions. It is by default non restrictive. It will allow float value to integer parameter, just coerce it to int without error. Scalar type hints is already present in C, C++ and Java and now it came in PHP 7.

// Coercive mode

function sumOfInts(int . . .$ints)

   {

      return array_sum($ints);

   }

var_dump(sumOfInts(2, ‘3’ , 4.1));   //int (9)

5. Null Coalescing and Spaceship Operator-

The null coalescing operator is represented like this ??. It’s used to check if the value is set or null, or in other words, if the value is exists and not null, then it returns the first operand, otherwise it returns the second operand.

// Pre PHP 7 code

$route = isset($_GET[‘route’]) ? $_GET[‘route’] : ‘index’;

// PHP 7+ code

$route = $_GET[‘route’] ?? ‘index’;

The Spaceship operator is represented like this <=>. It is used to compare two expressions and return -1, 0, 1 when one variable is less than, equal to, or greater than, as compared to the other variable.The functionality of the spaceship operator, officially called the Combined Comparison Operator can be availed to make the chained comparison more compact.
// compares strings lexically

var_dump(‘PHP’ <=> ‘Node’); // int(1)

// compares numbers by size

var_dump(123 <=> 456); // int(-1)

// compares corresponding array elements with one-another

var_dump([‘a’, ‘b’] <=> [‘a’, ‘b’]); // int(0)

6. Implementation of Error Handling-

The new Error Handling techniques implemented in PHP 7. Handling fatal errors was a dream in previous versions of PHP. If a fatal error occurs, it just simply stops the script rather than invoking the error handler. But now, PHP 7 allows an exception to be thrown when an error occurs, rather than stopping the whole script. This mean that Fatal errors are gone from PHP 7. One more thing to focus here is other types of errors like warnings and notices are unchanged in PHP 7. And exceptions are only thrown by fatal and recoverable errors only. However, Error and Exception both in PHP 7 implements the new throwable class. This means both work almost the same way. Let’s see the new hierarchy to understand more.

-> Exception implements Throwable

    -> …

-> Error implements Throwable

    -> TypeError

    -> ParseError

    -> ArithmeticError

        -> DivisionByZeroError

    -> AssertionError

Under Error, PHP 7 now have some more specific errors. Which includes ParseError, TypeError, ArithmeticErrors and an AssertionError. Practically all errors that were fatal in PHP 5, now throw instances of Error in PHP 7, which in term help you to improve your code legibility.

Conclusion-

There are some features that have been removed in PHP 7. Versions released before 5.5 are not compatible any longer. Now it is your decision to decide whether to upgrade to PHP 7 for super fast speeds and update all your code accordingly. Or stay with the previous version of PHP. Know the best php platforms at- Which PHP framework is right for your application? 

If you’re interested in adopting PHP for development at your business, then Solace Infotech is an ideal place to start development. We at Solace believe in the benefits and effectiveness of using PHP 7 for development. Dedicated experts at Solace will surely give you the best PHP development solution to your business. Contact us for effective PHP development that will grow your business to next level.

Is it worth building an extremely customized web app using WordPress, Drupal or Joomla instead of PHP framework, Django or RoR?

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When you are developing a website, it is necessary to choose the best tool that you are going to use. You can build a website from content management system or framework or using languages such as PHP, or display languages like HTML and CSS. Content management systems reduces the need of that expertise, whereas frameworks provide features to create a custom application. 

Customised web apps are connected to the customer’s interest. It allows customers to add, compare or choose the best suited solution. It helps businesses to grow the business. Customized web apps works as the same way customer want to. A custom application can be built using a content management system such as WordPress, Drupal, Joomla or using a framework such as PHP, Python, Django, ROR. Now you will get confused that which one is the perfect for customizable web app development? Whether a CMS or Framework? It will be crucial to choose the best one.

First of all, consider the following questions to choose the CMS or a Framework-

1. Requirements and goals of a project and also how flexible should be this project in the future?
2. Time stipulated to complete the project
3. How much money will spend on the project?
4. Hosting environment

Let us see the benefits of using content management system WordPress, Joomla and Drupal.

1. Wordpress-

• WordPress is free and open-sourced.
• Flexible and adaptable changing needs- Previously, wordpress was designed to support blogging and likewise online publishing. Now WordPress is used to run complex sites for large-scale companies, manage small business, and create personal blogs, full-service e-commerce stores, showcase a portfolio or host a local network.
• User Friendly- WordPress site can be install and manage easily by beginners. You can easily manage admin’s dashboard that has all features to customize a site.
• Themes- WordPress has many choices for themes for perfect appearance, functions and requirements. It also has basic and premium themes. 
• Mobile responsive- It is a great advantage of wordpress so that site can look good on any device. 
• Strong Community- WordPress is free and open source, it’s supported by WordPress-loving communities around the world. WordPress is used by over 30 percent of CMS-based websites worldwide.

2. Drupal-

• Flexibility-One of the strongest points of Drupal is its ability to create and manage a wide variety of content types, including but not limited to videos, polls, blogs, podcasts, and statistics. Because of this Drupal enables flexible design platform.
• Scalability- Major strength of Drupal is that it is highly scalable. One can increase the number of web pages without changing a thing.
• Customizability-Drupal is highly customizable. It allows you to modify, adjust and implement an endless additional custom features into your website like CRM, security, social media and SEO.
• Security- Drupal is highly secure and offers regular patches and safeguarding from exploits, making it great for enterprise clients.
• Community- Drupal is an open source CMS. The open source community offers extensive public documentation, well-developed discussion boards, chat and mailing lists, alongside an air of approachable online culture.

3. Joomla-

• Open Source- Joomla offers Open-sourced infrastructure.
• Flexibility- Joomla offers over 8000 extensions, so you can make functional and interactive website design. It also has extensions to add social media widget into a website. Extensions are divided into 33 different categories, including communication, editing, marketing, social, languages, site management and living.
• Blog publishing- It is easy to use for blog publishing. The only thing you need to know about uploading a blog is- simply copy paste the content and click on the “publish” button.
• E-commerce development- Joomla is an e-commerce friendly CMS. It offers many components created specifically for e-com. You can easily manage your products and their content without having to switch over tabs.
• User Community- Joomla possess a wide user community.

Know the difference between WordPress vs Drupal vs Joomla before using it.

Let us see the benefits of using Frameworks-

1. PHP-

• Cross-platform- PHP is a cross-platform framework and can be run on various platforms. PHP code run softly and smoothly  on all operating systems. Server-side scripting language or PHP hosting service providers can be easily found.
• Speed- Speed is an important side of the web development. A quick loading website can maintain engagement to the traffic. All users like quick loading web sites as compared to slow loading sites.
• Ease of use- Any beginner can easily learn to use PHP within less time. The syntax of the programming is similar to the C programming language. So a programmer familiar to the C programming language can easily create PHP website scripts.
• Stable- PHP came to existence about 20 years ago. Over this period, numerous engineers have taken a shot at the application to improve the use of the application. Lots of bugs are found and also fixed rapidly by a group of designers over the years.

2. Django-

• Scalable- To satisfy the heaviest traffic need, the advantages of Django system can be seen. Accordingly, the busiest locales utilize this medium to rapidly satisfy the traffic needs.
• Secure- Django is secure because it covers the loopholes by default which were once left open for the backend developer to complete. Despite the fact that while utilizing Django you may not feel it but rather those master backend designers can tell the quality and security of the work done by Django.
• Versatile- Django is very versatile. It allows extending Django with all the technologies we work with and also with the upcoming ones. Hence, Django is the future of web development and everyone who was previously using PHP will majorly use Django.
• Rapid Development- Here, rapid development means that we don’t need expert backend knowledge to make a fully functional website. Here we should not create separate server files to design the database and connect the same while also making another file for transferring data to and from the server. Django handles this work and also lot of other tasks. We won’t need extra files for each task. These tasks are like half the project time and money, and they are surely important for almost any website out there.

3. RoR-

• MVC architecture- It is based on MVC architecture that enables the data to be separated from presentation.
• Database Access Library- RoR includes a database access library – Active Record. This simplifies data handling in databases. Active Record automatically maps tables to classes and rows to objects.
• Libraries for common tasks- It includes a host of libraries that simplify the coding common programming tasks such as form validations, sessions management.
• Customized URL: Custom or Search Engine Friendly URLs can be developed using the Ruby on Rails framework.
• Debugging – In RoR, detailed error logs are provided. These logs makes it easier to debug applications

Why choose Frameworks over CMS?

Using CMS, you must know one theme, and customize it so that it will  be more flexible and programmers oriented. Above frameworks are designed to support the development of dynamic web application websites and web resources. In general, CMS provides more functionality to do things fast.

Are you thinking to develop a website for your business? Solace have an well trained developers to work on CMS and Frameworks for development. Dedicated team of Solace will be happy to help your for developing your website. Feel free to contact us for web development that will help you to achieve the success that your business deserves.

Code Review Process: Best Practices

Software development includes multiple phases such as planning, design, development, code review, testing, maintenance. Each phase has its own significance to acquire a goal. If there are some issues within a single stage, the software will fail. Among these code review is an important process.

What is code review?

Code review is a phase in software quality assurance activity in which code authors, peer reviewers, and quality assurance testers check a program by viewing and reading parts of the source code. Finding and correcting errors at this stage is not expensive, and it reduces the cost of handling, locating and fixing bugs on later stages or after delivery of programs. In this process at least one of the persons must not be a code’s author. Reviewers are the persons performing the checking, other than author.

Goals of Code review Process-

1. Better Code Quality-

This process improves the internal code quality and maintainability which includes readability, uniformity, understandability.

2. Find Defects-

It improves the correctness and quality, detect problems about performance, security, injected malware etc.

3. Knowledge Transfer-

It helps to transfer the knowledge about code and solution to reviewers and authors.

4. Finding Better Solutions-

It helps to generate ideas for new and better solutions.

5. Complying to QA guidelines-

Code reviews are important in some context such as air traffic software.
Automated code review simplify the systematic testing of source code for issues such as buffer overflows, race conditions, memory leakage, size violations and duplicate statements. Code review is mainly carried out to test the quality of part of source code. 

Best Practices of Code Review Process-

1. Review code of 200-400 lines one at a time-

Defect density VS LOC

If you try to review too many lines of code at once, you couldn’t find defects. From analysis it has been found that the human brain can able to detect defects effectively within 400 lines of code at once. After this limit the tendency of the brain to detect defects diminishes. A review of 200-400 LOC over 60-90 minutes can detect 70-90% of defects. For eg., if the code has 10 defects, within this limit the human brain can detect around 7-9 defects of them.

2. Take your time. Inspection rate should below 500 LOC per hour-

Defect Density VS Inspection Rate

Sometimes it can be possible that someone could catch the error that you don’t. Research shows that there will be effective drop in finding defect density at a rate faster than 500 LOC per hour. Code review in reasonable quantity at slower speed in limited speed results in most effective code review. 

3. Do not review more than 60 minutes at once-

Performance will go down in usual code review process after 60 minutes. So you should not review code at fast rate, also you should not review for too long in one sitting. Studies show that taking a break within a task over a period of time improves the work quality. So it is best to do a review in short sessions. Taking a break will refresh your brain and get ready to detect defects with a fresh eye.

4. Set Goals and capture metrics-

Before starting to a process, a team should decide how they will measure the effectiveness of process work and set goals to complete the process. Start with external metrics such as reduce support calls, reduce the defects in developments. This information will give you a numeric report that is understandable and can be improved to achieve an effective goal. A metrics driven code review tool collects data automatically so that your data is accurate.

5. Authors should annotate source code-

Before the review is initiated, authors should annotate the code which will show about which files to look and review first to do every source code modification. Annotations helps reviewers to ease the process and provide more deep knowledge in context. It also helps to find errors before starting of review. It helps to find bugs more easily and results in higher quality. Author has to re-think and explain the changes during the annotation process, the author will uncover many of the defects before the review even begins, thus making the review itself more efficient.

6. Use Checklist-

Code review Checklist

It is common to many times that authors do the same mistakes again and again. And it is difficult to find that is not there. In such cases checklists are the most effective way to avoid the frequent made errors. Code review checklist is gives team members a clear goal for each type of review and it can be helpful to track reporting and improves the process. Using checklist reviewer can enlist the defects that hasn’t been solved. 

7. Foster A good code review-

Code review is the important stage. It not only creates a good team but also means for learning,growing and communication if manager promote it. Detecting defects is easy but the negative impact towards defects found can depreciate the whole team. The main target of code review process is to eliminate as many defects as possible,  instead of who created the error. Managers must promote the view that defects are positive. Code review is the process to make your code as well as possible. Every defect found and fixed in review is a defect that customer couldn’t see and also QA doesn’t have to spend time to track it.

8. Use lightweight code reviews-

To completely utilize your team’s time and to effectively measure the results a lightweight process is recommended. If the tool is not convenient to use by a team,the result will not be effective. Lightweight code reviews takes 20% less time than formal reviews and able to find more bugs as formal review process.

9. Give Feedback-

Giving feedback to a person could be the proper way to communicate in a positive manner. Try to be positive or effective instead of critical in feedback. You should ask questions instead of giving statements. Code review comments are the mediator between communication of programmer and user.

10. Verify that defects are actually fixed-

Many times reviewer don’t have a good way to track the defects during the review process and also ensuring that bugs are fixed before the completion of the review. Then what is a good way to ensure that defects are fixed.You can use collaborative review software, which is integrated with rational team concert to track defects found in reviews. By using the proper tool reviewers can track bugs and discuss with author. Resolving of issue is notified by the reviewer when author fixes the problem. After resolving all the bugs, work would be approved.

Are you thinking for a web solution for your business? Solace is a software development company which specializes in effective custom development using code review processes. Developers at solace are well known about code review practices for effective development. For any web development, Contact us. We are happy to help you get started through our expert’s.

Modern Trends & Best Practices in 2019 for Digital Product Developments-

In this 21st century, digital products are developing at a tremendous speed with upgrading it every year. 2019 is the same with a lot of new technologies that are made foundation for next generation tech ecosystems. Let’s know more about the modern trends and best practices for digital product development.

Modern Trends for Digital Product Development-

1. Artificial Intelligence-

• 

  Artificial Intelligence

Sophia, the humanoid Robot is the best example of Artificial Intelligence. Sophia is now proposing for the human rights and runs on an AI system that is only developing by the day. Such applications of AI are rising in the world day by day. Artificial Intelligence will provide companies with advanced decision making skills, modernize processes and also business models that increase the experience of customers. According to survey, 59% of the organizations are collecting information and setting up the strategies to effectively deploy AI. Whereas others are already in the process of adopting AI. Artificial Intelligence is used for the learning solutions, reasoning, perception, decision making, problem solving. 

2. Data to Analytics to Machine learning to AI-

Data is a key to companies that are responsible to make good decisions related to products, services, employees, strategy and even more. As recent data has indicated, we have made 90% of the world’s information in the previous year, and we are utilizing just 1% of the data adequately. With a plenty of companies like Microsoft, SAP, SAS and Salesforce showing market leadership in promoting a data that made into meaningful business analytics. There are many opportunities to be done by the data driven organizations to realize the power of data on hand and the data that they are collecting. Improved processing power increases the machine learning. And therefore we are going to see digital leaders investing in making more of all of their data. This will be done with Machine learning and Artificial Intelligence. There will be tremendous data utilization. know the difference between Artificial Intelligence and Machine learning at- Artificial Intelligence and Machine Learning: A Comparison. 

3. Augmented reality(Yes), Virtual Reality (No)-

Augmented Reality

Virtual reality is good but is not feasible beyond gaming and highly specialized applications  for today. Instead of this, augmented reality continues to be the name of the game in 2019 digital transformation trends. AR has found many use cases in the enterprise training. This means that it is not just good but is helpful. Development of AR is increasing in 2019.

4. Hybrid Clouds- 

Many companies realized that having all their data in a public cloud, private cloud or data centre is not the best option. Instead of this, they need to mix all of them.

Hybrid clouds combine dedicated private cloud infrastructure with public cloud services(Often maintained on-premises within an organization’s own data centre). Taking into account this trend, leading cloud providers will fasten their efforts in 2019 to target new hybrid cloud opportunities. Competition between Microsoft and Amazon cloud service providers globally, is expected to extreme.

5. Edge to Core and IoT Much More-

The technologies, AI, Machine Learning, IoT, Edge are interrelated. IoT is growing very rapidly. In the same way number of connected gadgets also increases. This realises the need of more space and closer space to process the data for working. The concept of smart cities and Autonomous vehicles could not be done with the cloud for data processing. This means that we are leading more towards edge computing in 2019 digital transformation trends.

Analytics and data will not be only for processing but also for the processing in real time. This emerges the necessity of edge. It is important to understand that edge and cloud both are mutually exclusive. Cisco refers to the interdependence of edge and cloud as “The Fog”. Because, they recognize the critical data interactions that take place between the edge and the cloud to maximize data utilization. While their vernacular may or may not become global with the certain connection between edge and core. You can be sure that the two will cooperate vigorously to accomplish the potential outcomes being offered to us with AI, IoT and Machine Learning.

6. Digital Twins-

A digital twin indicates a digital representation of a real-world product or a system. Working something similar to an independent systems, digital twins are highly used in manufacturing industry. For eg., to determine how a car will perform if different materials are used or how a same factory can best be organised to optimise production lines for customised goods before they start being made. The necessity of digital twins has been driven by the increase in consumer demand for customized or personalized goods at large scale, mass production specialists such as Nike permitting individual sneakerheads to design their own shoes online for a delivery within weeks. Enterprises are also implementing digital twins of their organizations.

With a DTO, each advantage that falls inside the setting of an association( including processes, technology, infrastructure, architecture and customer interactions) can be connected, reported and visualised. This helps business leaders to survey the effect of progress in a controlled domain before focusing on something with broad and unintended results.

7. Blockchain-

Know the basics of Blockchain at our blog- Blockchain – The Basics you should know. Blockchain technology is entering in many fields such as bitcoin, healthcare etc. It is vast and globally distributed and centralized database or record that is available to anyone. Millions of devices at a time can access it. Despite the fact that it is as of now finding tremendous implications in Finance, we should now be set up for significantly more prominent infiltration of the innovation. Anything that is important , including titles, identities and votes can be moved onto the blockchain for secure management. In 2019, we expect more advances in blockchain, especially in supply chain management where it assures stronger transparency and efficiency and as case studies move slowly from the academic world to practical, broad applications.

Conclusion-

Digital Product Development is increasing day by day. This list is not sufficient. It just gives you an idea of how far we have come and how long we have to go on. Apart from these technologies, Democratisation of AI, rise of virtual agent, Intelligence assistance in the workplace , 5G also emerging.

Are you looking to implement modern trends of digital product for your business? Then you might need some help getting started. We are happy to help you for development in digital products. We have an expert’s team that will give you the best development regarding digital product. Feel free to contact us for any digital product development.