An Overview about Javascript frameworks

As JavaScript notoriety keeps on developing and with it, the encompassing biological community of current libraries and apparatuses, it can in some cases be difficult to keep up, prompting what some portray as JavaScript Fatigue.


This post will dig into a portion of the advances we’re finding in the JavaScript people group and how such arrangements may profit you and your group, without making you exhausted.

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  • React.js

2015 was without a doubt a major year for Facebook’s React; with numerous expansive organizations embracing React, (for example, The New York Times, Netflix, Airbnb, Instagram and so forth.) it’s difficult to overlook. So what settles on React an incredible decision for your front-end? For one thing, React is damn quick. This is accomplished by means of a virtual DOM diff with the DOM and cluster redesigns to fix just the parts of the DOM that need upgrading. Respond permits you to assemble little, reusable parts that envelop the layout and the JavaScript rationale behind them. Obviously, this requires the utilization of a fabricate instrument, for example, Webpack (and different apparatuses). It is this need of extra tooling and the advances inside this space has a considerable measure of designers feeling overpowered.

Respond, being only the perspective layer, requires extra libraries which you for the most part tend to sort out yourself, be that as it may, there are numerous standard undertakings accessible that have everyone of this prepared to leave the crate, the React Starter Kit being one of them.

The executioner components of React are ‘widespread rendering’ and ‘Respond Native’.

‘Widespread rendering‘ implies that our web application can be rendered on the server and to the customer, all from the same code base. This dispenses with any SEO concerns average of customer side JavaScript applications without resorting to arrangements, for example, PhantomJS or

‘Respond Native’ permits you to target portable stages with a genuine local  Java application utilizing JavaScript. Not at all like half and half portable applications that normally utilize web views inside a local shell, React Native aggregates your application down to a genuine local application for iOS and Android. In case you’re as of now utilizing React as a part of your web-stack, utilizing React Native to provide food for portable would bode well.

  • Precise 2.0

Google haven’t had the least demanding of ways overhauling Angular from 1.x to 2.0 and 2015 saw Angular’s notoriety decay. A few individuals from the group weren’t excessively content with the course Google were taking the system as it’s a significant takeoff from Angular 1.x. This underlying stun made numerous look somewhere else. Additionally, the creator of Durandal joined the Angular 2.0 group in 2014 just to leave a couple of months after the fact to proceed with work on Aurelia, the successor to Durandal. In any case, Angular is in substantial use in numerous associations and a ton of the outline choices for Angular 2.0 were as a consequence of them listening to these clients, which is dependable to be empowered.

Precise 2.0 grasps ES2015, Typescript (which is discretionary) and takes the part approach much like different structures said here. Precise drops large portions of the ideas presented in 1.x, (for example, $scope) and improves numerous different components, for example, mandates. A major center for the Angular group has likewise been versatile execution, so it’s nothing unexpected to hear that The Ionic Framework has focused on receiving Angular 2.0. We can likewise anticipate that the MEAN stack will redesign once Angular 2 has been formally discharged.

In general, I think Angular will keep on getting more grounded and conceivably reinforce its place inside the venture upon the arrival of 2.0. Full Stack engineers may likewise think that it’s advantageous to manufacture both their web and versatile applications utilizing the same front end structure, conceivably expanding code-reuse because of the segmented way of v2.0.

Learning Resources: Ng-Learn has a pleasant review on Angular 2.0. In case you’re avid, to begin with Angular 2.0 in the MEAN stack, this instructional exercise is for you.

  • Vue.js

Vue.js is a front-end system that is anything but difficult, to begin with, yet in the engine lies a capable structure. First off, the documentation is phenomenal and takes after a characteristic learning way. Vue.js takes the best parts of numerous different systems and wraps them up into a strong, absorbable entirety. Much like React, Vue.js advocates single-record segments and unidirectional correspondence between parts to make it simpler to keep up java application development  state (store design with the changeless state). Not at all like React, Vue makes it much less demanding to begin on account of an official framework device – Vue-cli. We can even utilize other preprocessor dialects inside our single-document Vue parts, for example, Jade and Stylus. Sadly there’s no server-side rendering arrangement just yet, keeping in mind Vue performs incredibly on portable, it doesn’t have a huge group behind it like Angular, Ionic or React do.

Learning Resources: The Vue.js documentation is the best place to begin. Jeffrey Way at Laracasts has made an extraordinary video arrangement called Learning Vue 1.0: Step by Step.

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A backend JavaScript engineer will be acquainted with Express, Hapi or Koa. These are all web servers whereupon you can assemble your java applications; they’re for the most part little and un-obstinate about how your application ought to be organized. Extra usefulness is regularly given through NPM modules. Nonetheless, towards the last a portion of 2015, we saw the ascent of all the more full stack structures for node.js.

This domain has ordinarily been evaded by JavaScript engineers the same number of like to sort out their own stacks. That is still the case for the greater part of JavaScript engineers and it’s the way we like to do things here at Clock as it gives us the most control.

For a very long time the main reasonable full stack system was Sails.js, firmly displayed after Ruby on Rails. Sails is still an extraordinary system, yet we now have some new contenders.

  • Trails

We should start with this structure as there has been a great deal of Internet Drama around Sails and Trails of late. Trails is the work of Travis Webb and his group, initiating a measured web structure that permits you to swap out parts (even the server). This development likewise permits you to effortlessly amplify your java application with reusable trail-packs.

Travis was a center giver to the Sails.js extend yet was evacuated by Mike McNeil, the BDFL of Sails. Both sides hadn’t figured out how to settle their question in private and it was rather battled on Hacker News, in Github issues, on Twitter and so forth. Wow. In any case, just to be clear, Trails is not a fork of Sails but rather is in truth a complete re-compose and takes a full favorable position of ES2015. v1.0 is booked for discharge in April 2016 and from an underlying look, it ought to be exceptionally well known to any individual who has utilized Sails as a part of the past.

  • Nodal

Nodal is conveyed to us by Keith Horwood and intends to be a simple to utilize structure for making REST APIs. While this isn’t as full-stack as it at first claims to be (server-side rendering isn’t a need) and it utilizes an unsupported templating dialect DoT.js, Keith’s gained some awesome ground permitting engineers to make REST APIs effectively, fundamentally using code generators.

Nodal is developed from the beginning ES2015. Keith was despondent with the lego-style way to deal with building web applications with node.js and needed something with a durable look and feel over the stack that made him as profitable as could be allowed. It’s likewise worth specifying that Nodal utilizes Postgres for information constancy. Generally speaking, this is an incredible structure with an exceptionally dynamic group.

  • Adonis

On the off chance that you’ve ever utilized Laravel, a well known PHP web structure, then you’ll feel comfortable with Adonis. Adonis grasps the engineering and outline designs Laravel advocates and conveys them to node.js like no other full stack structure. Using ES2015 generators, intermediaries, Service Providers, Inversion of Control compartments and a capable ActiveRecord affected ORM called Lucid, Adonis surely brings a great deal of usefulness to the table.

This system favors SQL databases over NoSQL arrangements, something that is beginning to wind up significantly more regular now that PostgreSQL has awesome JSON support.

While Adonis is exceptionally youthful, it has a considerable measure of potential – particularly to attract amateurs as its documentation is very careful. Experienced designers will likewise value the engineering decisions Adonis has made as to building and keeping up extensive applications.

This system is most appropriate for the individuals who are not simply intrigued by building stateless REST APIs (which it can do great), yet the individuals who additionally wish to do server-side applications. Most systems which concentrate on being a REST API back-end tend to tumble down in the server-side rendered division and Adonis knows this.

  • Strapi

Strapi is an exceptionally intriguing structure which concentrates on the development of REST APIs. It’s based on top of Koa and contains numerous elements out-of-the-case that a run of the mill designer would need, for example, a client administration framework, JWT verification, document transfer and email bolster and even backings GraphQL.

In any case, what makes this system especially intriguing are the going with web applications; an administrator dashboard that comes packaged with your venture and an online device called Strapi Studio.

The administrator dashboard permits you to deal with the clients and information inside your application, whereas Strapi Studio permits you to construct your API by means of a web interface and the subsequent code is matched up down to your PC – exceptionally cool stuff.

Why Full-Stack Development? See These Top 5 Facts

Full-Stack development as the name suggests, it is the process of developing both front and back end segments of an application. The three prominent layers that involved in this process are,


  • Presentation layer – One that covers the UI
  • Business logic – Back end part, which concentrates on data validation
  • DB layer – Vast space for information storage

Ultimately the Full Stack development process plays the role of taking a concept into a real usable product.

The reason why enterprise prefers Full Stack resources lies in the expense of hiring individual coders for each development works involved. Deploying a single full stack candidate who is master in collective stacks would make the job even easier.

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Why it is preferred?

This technique involves the power of functional knowledge and facility to put effort on different aspects that contribute to application development. The handy reasons why agencies prefer full stack development are,

  • More optimized code in Java, JS & HTML
  • Making use of APIs with backend using Java/Python or Ruby
  • Easy working with infrastructure (hardware & OS inclusive)
  • Networking & Security

For deeper understanding about Full Stack procedure you should be going through the facts mentioned below,

A mixture of both front & back end

As mentioned at the beginning of this article, Full Stack development stands for the process carried out in both designing and development stacks. The candidate involved in this task will be proficient in handling front end and back end works involved.

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Techs emphasised under Full Stack

For an enterprise to choose a Full Stack expert, it’s not necessary for the candidate to have knowledge in all 170 programming languages used for application development. Yet there are definite techs that one must be well versed with and those include HTML/CSS, JS, Storage & DB, REST API & HTTP, Version control platforms like Github and Learning Architecture details.

Never fallen demand

The term digitization led business owners to think about the audience’s seamless experience than just focusing on creating an application for sake. The power of single resource to handle all the aspects of an application including designing, formatting, UX & programming opened a new door of opportunity in creating most engage-able applications. After seeing standard ROI for an application built over Full Stack procedures; the demand for it never went down since its establishment.

Calibre reached within budget

Meeting audience expectations is the ultimate goal of an enterprise application. But achieving it would cost high for a small business/start-ups with a great idea/concept. With Full Stack, both elegant and engaged applications are built with the minimum cost involved.

5 Emerging Trends in IoT 2020 That You Want to Know

Trends New year is actively running on developing our economy as well as updating the environment surrounding us. The shape that technology planned to unveil will be updated only after the year adds one to its number and no negative vibes; the year 2020 is doing good as far as it concern towards development.


Talking about IoT- there is a massive growth in the past few years and no more less in 2020. Survey predicts that there will be about 20 billion connected devices by 2020 and the analytics say B2B spending on 2020 will reach $267 billion.

According to Gartner IoT 2020, enterprise and automotive IoT market will grow to 5.8 billion endpoints in 2020 which is a 21% increase from 2019. With the positive prediction held high in everyone’s heart, let us move on to the emerging trends in IoT 2020.

More Connections to Happen

The future of IoT is about to see a smarter environment and devices which ultimately demands more connection to happen.While the picture paints a bright color to the scene, the escalation worth taking an extra challenge in cybersecurity.

New levels of availability, efficiency and smart devices makes IoT devices more vulnerable to every possible attack and it must be make sure the service providers keep tag on every vulnerability at IoT connection even at the possible entry point.

Report from SonicWall’s 2019 Cyber Threat found a 217.5% year to year increase in the number of IoT attacks. Just put a wall against cyber attacks and increase in IoT connectivity doesn’t matter.

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Emergence on Smart Cities

The Internet of Things is not limited to distance, environment and devices, it has a wider range of applications in almost every field and one fabulous as well as welcoming advancement of IoT smart city.

In future, cities with bright light turning on and off automatically- directing the traffic non-stop will be one of the smart work of data collected from IoT making life comfortable and hassle free. Thanks to IoT once again.

When IoT connected devices are installed in public services, every citizen data collected will be used for,

  • Used in video surveillance systems
  • Taxi services
  • Personal Identity
  • In case of crime investigation or other issues
  • Visitor Kiosks

Overall, the IoT smart city can manage to handle the entire crowd information living in the city.

Software as a Service Becomes a Standardized Tech

While talking about the IoT app trends, Software as a service will be the best chosen topic to take for discussion. As a service model, it can host any desired application for its availability to customers over the internet.

Technology like SaaS can compete with the emerging trends in IoT to create a wonderful platform for any companies in promoting their business.

That’s why Stewart Butterfield, Co-Founder of Slack told every customer interaction is a marketing opportunity. If you go above and beyond the customer service side, people are much likely to recommend you.

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Leveraging IoT Technology

Compared to any advanced technologies, IoT has an equal barrier towards achieving the objectives. Some technologies have to undergo a rough time but sooner or later the situation will change in the coming year.

There are lots of matured business ready to harness the new ones for the past decade like low power cellular, Low-power WAN etc.,

Better Data Processing Solutions

The growth of emerging trends in IoT comes along with the enormous data which is needed to be processed and analyzed on a regular basis. Current data processing systems are less behind the race and hence companies should invest on better data processing solutions that are fast and cheap on investment.

Finally the topic ends with the help from Artificial Intelligence. With the help of IoT, devices can collect data about anyone’s behaviour and stored on the cloud. With the support of artificial intelligence , the device can make use of stored data to learn without any manual programming.

7 Tips for a Successful Multi-Vendor Cloud Migration

As much as an organization might try to control the number of technology vendors they work with, there are almost always several organizations involved – in one form or another – in the cloud migration projects we do. Having orchestrated dozens of these migrations, I can attest to preparation being key to controlling the chaos. Here are a few tips from my own experiences.


1 Identify all parties upfront

Nothing throws a wrench in your plans like an unknown vendor showing up in the middle of a project. To the best of your ability, you should identify who’s involved – ideally by individual name – before the project starts. While you’re naming names, make sure you have a list of all the internal stakeholders as well.

2 Identify roles and responsibilities

With the list of names in front of you, identify their role in the migration and what they will be responsible for delivering. This can help you avoid finger-pointing later if something doesn’t get done.

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3 Get sign off on the project plan

All successful projects start with a plan with responsibilities (already covered), timelines, and milestones. If there are multiple vendors involved, it’s important to get sign off from key roles, e.g., the team leader in each organization. And, of course, you’ll need to get sign off from the client’s project owner.

4 Set up a regular cadence for meetings

We just finished a very large AWS migration in which there were multiple partners involved with a lot of overlapping responsibilities. Our weekly progress meetings saved us from duplicating efforts or letting things slip through the cracks many times. These meetings also helped us get to know each other, including our unique skill sets, our weaknesses, and our work habits.

5 Document everything

Documentation is key to all cloud migration projects, but even more so when there are multiple vendors involved. Sometimes you can’t get in touch with someone else on the team, but if they’ve documented what they’ve done, you can keep the project moving forward.

At other times, the client will have questions. They don’t want to hear, “You need to talk to Jim about that.” If you can refer them to documentation, it may answer their question. If not, they know who to follow up with.

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6 Standardize documentation formats as much as possible

Every organization documents things differently. If you’re creating similar documents, try to standardize the format as much as possible. It’ll make it easier for the client to digest, and it’ll help ensure nothing gets missed.

7 Be open to ideas

As challenging as multi-vendor projects can be, I enjoy them because it’s an opportunity for me to learn from the best practices of others. Over the years, we’ve adopted a number of approaches we’ve seen work well and delivered greater value to our clients as a result.

The reality is that you may not always be the organization (or individual) leading the migration project. At WSM, we often take a lead role, but sometimes, we’re in more of a contributor role. If the project lead is experienced, they probably have many of the items in our list covered. If not, in all but the rare instance, I’ve found most project managers to be open to new ideas. You’ll simply have to decide, case by case, how to make the suggestion.

Artificial Intelligence: How AI Is Changing Retail

The digital transformation of the retail industry has been going on for years. It has increased speed, efficiency, and accuracy across every branch of retail business, thanks in large part to advanced data and predictive analytics systems that are helping companies make data-driven business decisions.


None of those insights would be possible without the internet of things (IoT), and most importantly, artificial intelligence. AI in retail has empowered businesses with high-level data and information that is leveraged into improved retail operations and new business opportunities. In fact, it is estimated that $40 billion of additional revenue was driven by AI in retail in a 3-year span.

Retailers looking to stay competitive need look no further than AI in retail business. It is forecasted that 85% of enterprises will be using AI by 2020, and those who don’t risk losing insurmountable market share to their competitors.

What Technologies & Solutions Are Used for AI in Retail?

Artificial intelligence is a term that is thrown around in many industries, but many people don’t fully grasp what it means. When we say AI, we mean a number of technologies, including machine learning and predictive analytics, that can collect, process, and analyze troves of data, and use that information to predict, forecast, inform, and help retailers make accurate, data-driven business decisions.

These technologies can even act autonomously, using advanced AI analytical capabilities to convert raw data collected from the IoT and other sources into actionable insights. AI in retail also utilizes behavioral analytics and customer intelligence to glean valuable insights about different market demographics and improve many different touchpoints in the customer service sector of business.

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What Does AI in Retail Look Like?

Today’s dynamic retail industry is built on a new covenant of data-driven retail experiences and heightened consumer expectations. But delivering a personalized shopping experience at scale — that is relevant and valuable — is no easy feat for retailers. As digital and physical purchasing channels blend together, the retailers that are able to innovate their retail channels will set themselves apart as market leaders.

So, what exactly does that look like? Here are some examples of how AI in retail is reshaping the entire industry.

Inventory Management – AI in retail is creating better demand forecasting. By mining insights from marketplace, consumer, and competitor data, AI business intelligence tools forecast industry shifts and make proactive changes to a company’s marketing, merchandising, and business strategies. This also impacts supply chain planning, as well as pricing and promotional planning.

Adaptive Homepage – Mobile and digital portals are recognizing customers and customizing the e-retail experience to reflect their current context, previous purchases, and shopping behavior. AI systems constantly evolve a user’s digital experience to create hyper-relevant displays for every interaction.

Dynamic Outreach – Advanced CRM and marketing systems learn a consumer’s behaviors and preferences through repeated interactions to develop a detailed shopper profile and utilize this information to deliver proactive and personalized outbound marketing — tailored recommendations, rewards, or content.

Interactive Chat – Building interactive chat programs is a great way to utilize AI technologies while improving customer service and engagement in the retail industry. These bots use AI and machine learning to converse with customers, answer common questions, and direct them to helpful answers and outcomes. In turn, these bots collect valuable customer data that can be used to inform future business decisions.

Visual Curation – Algorithmic engines translate real-world browsing behaviors into digital retail opportunities by allowing customers to discover new or related products using image-based search and analysis — curating recommendations based on aesthetic and similarity.

Guided Discovery – As customers look to build confidence in a purchase decision, automated assistants can help narrow down the selection by recommending products based on shoppers’ needs, preferences, and fit.

Conversational Support – AI-supported conversational assistants use natural language processing to help shoppers effortlessly navigate questions, FAQs or troubleshooting and redirect to a human expert when necessary — improving the customer experience by offering on-demand, always-available support while streamlining staffing.

Personalization & Customer Insights – Intelligent retail spaces recognize shoppers and adapt in-store product displays, pricing, and service through biometric recognition to reflect customer profiles, loyalty accounts or unlocked rewards and promotions — creating a custom shopping experience for each visitor, at scale. Stores are also using AI and advanced algorithms to understand what a customer might be interested in based on things like demographic data, social media behavior, and purchase patterns. Using this data, they can further improve the shopping experience and personalized service, both online and in stores.

Emotional Response – By recognizing and interpreting facial, biometric, and audio cues, AI interfaces can identity shoppers’ in-the-moment emotions, reactions or mindset and deliver appropriate products, recommendations or support — ensuring that a retail engagement doesn’t miss its mark.

Customer Engagement – Using IoT-enabled technologies to interact with customers, retailers can gain valuable insights on consumer behavior preferences without ever directly interacting with them. Take the Kodisoft interactive tablet for example – Kodisoft developed a tablet to be used in the restaurant setting for customers to use to browse menus, order, and play games. Supported by the IoT Hub and machine learning, this tablet has leveraged consumer data and behavior trends, allowing companies to increase engagement and success with customers.

Operational Optimization – AI-supported logistics management systems adjust a retailer’s inventory, staffing, distribution, and delivery schemes in real-time to create the most efficient supply and fulfillment chains, while meeting customers’ expectations for high-quality, immediate access and support.

Responsive R&D – Deep learning algorithms collect and interpret customer feedback and sentiment, as well as purchasing data, to support next-generation product and service designs that better satisfy customer preferences or fulfill unmet needs in the marketplace.

Demand Forecasting – Mining insights from marketplace, consumer, and competitor data, AI business intelligence tools forecast industry shifts and make proactive changes to a company’s marketing, merchandising, and business strategies.

Customized Selections – Taking customer service to the next level, many retailers are using AI to help them provide unique, personalized experiences for customers. And, there’s big money in providing such services. “Brands that create personalized experiences by integrating advanced digital technologies and proprietary data for customers are seeing revenue increase by 6% to 10% — two to three times faster than those who don’t,” according to a study by the Boston Consulting Group.

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Why You Need AI in the Retail Industry

Aside from the business intelligence and sheer speed that these technologies can provide, the digital transformation in retail is simply setting successful businesses apart from unsuccessful ones. There are countless benefits that can be credited to artificial intelligence in retail business, but here are five primary ones that retailers can count on.

1.     Captivate Customers – With a plethora of innovative competitors providing shoppers with immersive shopping experiences, traditional retailers need to engage customers in a personalized and relevant manner that is unique and inspiring across all touchpoints.

2.     Create Exciting Experience – To drive continued interest, retailers need to differentiate their products and offer consumers compelling service and experiences. By integrating predictive analytics to gather more market insight, retailers can lead with innovation rather than react to change.

3.     Create Insights from Disparate Data – Faced with an onslaught of information from all aspects of their business from supply chain to stores to consumers, retailers need to filter through the noise to transform these disparate data sources into consumer-first strategies.

4.     Synchronize Offline & Online Retail – Digital and physical shopping channels typically operate under a different set of initiatives and approaches but treating these channels as distinct business units adds friction for customers seeking a seamless shopping experience and leads to operational inefficiencies.

5.     Empower Flexible Logistics Networks – In order to service a wider range of customer demands that are moving from mainstream to niche, retailers need to rethink their traditional supply chain in favor of adaptive and flexible ecosystems that can quickly respond to consumers’ shifting behaviors.

Implementing the systems to support AI in retail can seem overwhelming, but it doesn’t have to be. With a technology solutions partner like Hitachi Solutions, you will be supported and guided through every step of the process, and even after deployment. Reach out to one of our experts to learn more about Hitachi Solutions for retail business.

The Importance of Regulatory Responsibility

Known as the Peter Parker principle, this outlook applies just as much to organizations as it does to web-slinging superheroes. You see, most organizations are subject to some degree of compliance, be it from federal, state, or industry regulations; for example, healthcare providers must observe the rules outlined in the Health Insurance Portability and Accountability Act (HIPAA), whereas government agencies are required to comply with the Freedom of Information Act (FOIA). Certain sectors are subject to a greater degree of oversight — for example, financial services firms face stricter regulations than, say, retailers — but compliance is universal.


Many of these regulations are the product of an effort to hold organizations accountable. For example, the General Data Protection Regulation (GDPR), which made headlines around the world when it was implemented in 2018, implemented rules about how enterprises can process the personal data of individuals residing in the European Union (EU). In laymen’s terms, GDPR was created to protect people’s personal privacy from any organization that might try to abuse it — with great power comes great responsibility.

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An Ever-Changing Regulatory Landscape

Regulations and, by extension, regulatory compliance can be a good thing because they protect both businesses and their customers. That said, maintaining regulatory compliance can be a real challenge for organizations, in no small part because regulations are frequently subject to change. For example:

  • A shift in political power can result in changes to existing regulations, the introduction of new regulations, or even the creation of new regulatory agencies.
  • Major events can inspire new legislation, such as the Sarbanes-Oxley Act of 2002, which was enacted in response to the Enron scandal.
  • An economic downswing can also elicit a regulatory response, such as the Dodd-Frank Wall Street Reform and Consumer Protection Act, which was signed into law following the 2008 economic crisis.
  • Information technology has such a sweeping impact on everything from the way we do business to the way our government is run, which has prompted many — even Microsoft’s own Brad Smith — to call for stricter regulations on the tech industry.

These are just a few factors that might contribute to changes in the regulatory landscape — factors that are often interconnected, weaving an even more complicated web for organizations attempting to remain compliant.

For the sake of this article, though, we’ll zero in on that last item: How information technology — more specifically, cloud computing — affects compliance.

Where Does Cloud Regulatory Compliance Fit In?

Cloud regulatory compliance is a key area where organizations need to dedicate their attention because it has a ripple effect on all other forms of compliance. You see, most major regulations, especially those that pertain to data storage, include some language around cloud computing. It makes sense: Cloud computing has become universal, so much so that you’d be hard-pressed to find a business that doesn’t use the cloud, at least to some degree.

To see this in action, look no further than HIPAA. When HIPAA was signed into law back in 1996, it was designed to safeguard any Protected Health Information (PHI) stored in paper medical records. However, as technology advanced, healthcare providers and health insurers started to migrate patient and member data to the cloud; as a result, HIPAA was amended to include specific data encryption requirements in order to prevent potential security breaches. The U.S. Department of Health & Human Services’ website even features an entire webpage dedicated to helping healthcare organizations utilize cloud computing in a way that is HIPAA-compliant.

One of the best ways for organizations to guarantee cloud regulatory compliance, as well as compliance with industry-specific regulations, is to carefully evaluate prospective cloud providers. But, before we talk about that, let’s review some of today’s most important regulations.

6 Major Regulations to Be Aware of

Listed below are some of the most significant government, federal, and industry-specific regulations that organizations need to be aware of:

  • Health Insurance Portability and Accountability Act (HIPAA): According to HIPAA Journal, HIPAA introduced standards to “improve efficiency in healthcare, eliminate wastage, combat fraud, and ensure that health information can be tied to an individual and would allow them to be identified is protected and kept private and confidential.”Under HIPAA, healthcare organizations are expected to:

o   Implement a means of access control for electronic PHI (ePHI)

o   Introduce activity logs and audit controls

o   Implement policies for the use/positioning of workstations

o   Implement policies and procedures for mobile devices

o   Conduct risk assessment

o   Introduce a risk management policy

o   Develop a contingency plan

o   Restrict third-party access

o   And more

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For a more complete list of HIPAA requirements, especially as they pertain to ePHI, we recommend looking at HIPAA Journal’s HIPAA compliance checklist.

  • Sarbanes-Oxley Act (SOX): SOX is a federal law that implemented auditing and financial regulations for public companies in an effort to “both improve the reliability of the public companies’ financial reporting, as well as restore investor confidence in the wake of high-profile cases of corporate crime” — namely, the Enron scandal.In order to comply with SOX, public companies are required to establish safeguards to prevent data tampering, establish verifiable controls to monitor data access, disclose security safeguards and breaches to SOX auditors, and more. As far as cloud regulatory compliance is concerned, all public companies subject to SOX are only permitted to work with cloud providers that follow the Statement on Auditing Standards No. 70 or the Statement on Standards for Attestation Engagements No. 16 auditing guidelines.
  • Payment Card Industry Data Security Standard (PCI DSS): PCI DSS is an information security standard that was developed “specifically to protect payment account data throughout the payment lifecycle and to enable technology solutions that devalue this data and remove the incentive for criminals to steal it.” Simply put, PCI DSS is designed to secure card payment transactions.

In order to ensure PCI DSS compliance, merchants, service providers, and financial institutions must build and maintain secure network and systems, protect cardholder data, implement strong access controls, and more. For a more complete understanding of PCI DSS requirements, we recommend checking out the PCI Security Standards Council’s quick reference guide.

  • General Data Protection Rule (GDPR): As mentioned earlier, GDPR was established to strengthen data protections for individuals residing in the EU. GDPR applies to all privacy data, including basic identity information, web data, biometrics, political opinions, and so on. Although GDPR only safeguards the data of those living within the EU, it applies to any company that has a presence in the EU or that processes the data of EU residents, which means that organizations around the world must take heed.According to the official GDPR website, in order to remain compliant, organizations must:
  • o   Explain how they process data in “a concise, transparent, intelligible and easily accessible form, using clear and plain language”
  • o   Notify users when their personal data is being collected
  • o   Inform data subjects of what personal data is being collected, where it is being collected from, the purpose for processing it, and the length of time it will be held
  • o   Delete any information about data subjects as requested, per the “right to be forgotten”
  • o   And more
  • ISO 27001: ISO 27001 — formally known as ISO/IEC 27001 — is an international information security standard created to “provide a model for establishing, implementing, operating, monitoring, reviewing, maintaining, and improving an Information Security Management System (ISMS).” In order to earn ISO 27001 certification (translation: compliance), organizations must define their ISMS — that is, define what data needs to be protected — conduct a risk assessment, and define a risk treatment methodology.ISO 27001 is perhaps the best-known standard within the larger family of ISO 27000 standards; to learn about other popular ISO standards, we recommend looking at the International Organization of Standardization’s official standards page.
  • Federal Information Security Management Act (FISMA): FISMA is a federal law that was enacted in 2002 in order to establish federal data security standards and guidelines. FISMA requires each federal agency “to develop, document, and implement an agency-wide program to provide information security for the information and systems that support the operations and assets of the agency.”In order to comply with FISMA, federal agencies are expected to:

How Azure Meets Regulatory Compliance Needs

If you’re in the market for a cloud computing solution that will help you meet compliance obligations, Microsoft Azure might be the platform for you. With an extensive catalog of compliance offerings, an impressive compliance portfolio that spans multiple industries and geographic regions, and a state-of-the-art regulatory compliance dashboard, Azure has everything you need to store data responsibly and meet all of your cloud regulatory compliance requirements.

4 Fraud Prevention Tips for eCommerce Merchants

eCommerce So you decided to get with the times and take your business online to expand your market. Higher sales, less overhead costs, and more customers are coming your way. But wait, be sure to process your online transactions safely and cautiously.


Don’t worry, you’re not the only online merchant who could learn a thing or two about safe payment processing. Some of the topics covered here are major mistakes made by eCommerce businesses. To help your company thrive, we’ve put together 4 fraud prevention tips for eCommerce merchants which are guaranteed to work!

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1. Ship to the Verified Billing Address

If you aren’t already familiar with AVS, we highly recommend it. Address Verification Service checks the billing address a cardholder provides to your shopping cart and checks it with what is on record at the card issuing bank. Not only should the billing address match, but it is in your best interest to ONLY ship your paid for product to billing addresses that pass an AVS test. If you ship to a separate shipping address, then you won’t be protected from a fraudulent chargeback. This best practice protects you from fraudsters who order product and ship it to abandoned warehouses or lot. Fraudsters never steal a credit card number and then make a purchase and ship it to the actual cardholder.

This does not benefit them. Keep in mind that in some cases, addresses won’t match on completely safe transactions. For example, people often order gifts for their family and have them shipped straight to the gift receiver’s house. Another example is a cardholder who mistypes their billing address or forgets what it is if they recently moved. If your business sells products that people commonly gift, you may want to implement a maximum dollar threshold in which you allow shipping to unverified shipping addresses.

2. Collect Signature on Delivery

Fraudsters aren’t always the stereotypical criminals ordering merchandise online with fraudulent cards. Many instances of fraud are committed by those who actually ordered the product with their own credit card, but then falsely claimed they never received it. We call this friendly fraud and it is preventable. As an eCommerce merchant, you can require a signature before dropping off of your delivered packages. Now you have physical proof of safe delivery if your customer calls and claims it never arrived. We recommend taking precautions one step further by tracking your packages and purchasing insurance with your delivery company. Merchants with a smaller average order size may choose to skip out on some of these security precautions due to their cost. However, even with low average transaction sizes, it is possible to get a large order at some point! Anything can happen from point A to B, so protect yourself from chargebacks and misplaced packages.

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3. Watch for Red Flags

This fraud prevention tip is a bit less system oriented. There are so many signs of fraud you can look out for. The below list is not exhaustive, but it includes the biggest red flags:

  • Exceptionally large orders
  • First time customers
  • Shipping address doesn’t match billing address
  • International orders
  • A request to split the sale into multiple transactions or onto multiple cards
  • Orders quantities that don’t make logical sense

A business owner with an exceptionally large order can sometimes lose common sense when staring at a sale with so many zeroes on it. The feeling of excitement can overwhelm their senses and prevent them from thinking logically. It’s helpful to remember that if something seems too good to be true, it usually is. Say level headed and look out for red flags. A single red flag does not indicate a sure sign of fraud, but when you have multiple stacking up, you need to be careful.

What can you do when you run into these red flags? If they are anxious to give you their credit card number because its burning a hole in their pocket, run an authorization instead of a sale. If you find out later that its fraud, you can always void the authorization. You won’t get a chargeback because the sale never went all the way through. Plus, you won’t have to pay 2-3% to process the sale only to refund it later when you realize its fraud.

4. Filter Out the Fraud

As an eCommerce merchant, you are more susceptible to fraud. That’s why you should have access to software that is constantly fighting against fraud. We are a certified reseller for, a popular payment processing software that has a total of 13 filters in their Advanced Fraud Detection Suite. They range from notifications of odd billing information to pre-authorizing credit cards. One filter protects against the fraudsters that input random numbers into an online shopping cart until a successful set is found. You typically pay a fee every time a transaction like this is declined, but the filter prevents this. Another filter allows you to accept orders from certain countries. This geolocation setting ensures suspicious orders from certain high-risk countries don’t make it past security.

Security of Serverless Applications: Key Challenges

Despite all the benefits serverless platforms bring to application developers, the security of serverless applications is still a concern. This is because serverless infrastructure is managed by third-party service providers; developers have limited access to the security settings for serverless environments.


In this article, we list major security challenges and risks of serverless applications and explore best practices for improving the security of your serverless solution. This article will be helpful for developers who are considering using serverless technology for their projects and want to do so securely.

Serverless applications and responsibilities

Serverless applications are cloud-based software built using serverless computing — a type of architecture where an application runs in event-triggered stateless compute containers that are fully managed by service providers.

The most well-known serverless offerings are AWS LambdaMicrosoft Azure Functions, and Google Cloud Functions.

Security risks and vulnerabilities

Building solutions using rented servers means storing sensitive user data somewhere you don’t completely control. Thinking of serverless security is crucial, as data leaks can cause scandals and damage reputations.

There have been some well-known security breaches caused by attacks on cloud servers:

Records of more than 100 million Capital One customers were compromised in 2019. A cloud misconfiguration allowed a malicious actor to access credit card applications, social security numbers, and bank account numbers of the company’s customers.

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Security challenges with serverless applications

Serverless computing is still quite a new technology, so handling it is more complicated than handling traditional software environments. Software developers and architects often lack the experience needed to ensure decent serverless app security.

Choosing the right security strategy

Application security gets trickier when it comes to cloud and serverless deployments. Thus, coming up with a relevant security strategy also becomes more challenging.

The first issue is that the development team has to rely on the service vendor to ensure the security of the solution. Before starting to collaborate with a service provider, you need to ensure they can maintain your application’s security at an appropriate level and protect your data and intellectual property from theft.

Lack of comprehensive security testing

Security officers and testers often face additional challenges when testing the security of serverless solutions. Even more challenges arise when serverless applications interact with cloud storage, remote third-party services, databases, and backend cloud services.

Outdated and vulnerable third-party libraries

When you use a serverless platform, you’re most likely relying on third-party libraries — which often depend on additional libraries themselves — for your application to function. This is a conventional and helpful way to speed up development. However, libraries may also attract hackers who use their known and yet unknown vulnerabilities to start an attack.

Best practices to enhance security in serverless applications

Since serverless architecture is a relatively new approach, it’s susceptible to the security issues we’ve mentioned. While serverless providers are working on eliminating these risks, you should follow best practices to eliminate those security risks that are your responsibility.

Devise a comprehensive security strategy

Consider all the risks and challenges your serverless application can face and create a robust security strategy to avoid major pitfalls right from the start.

Here are a few useful tips for improving your security strategy:

  • Validate event and input data that comes from HTTP/HTTPS traffic to the serverless application.
  • Explore your security policies and access permissions in detail.
  • Consider implementing the principle of least privilege and giving each function minimum permissions.
  • Perform static code analysis and conduct penetration testing to detect vulnerabilities.

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Combine the best of existing testing practices

Serverless applications can be more challenging to test than traditional ones. Even basic methods and techniques like stress testing and fuzzing can make a big difference in serverless application security testing. Therefore, security engineers have to analyze the function code itself to identify flaws in business logic and improper use of APIs and data types.


Creating an application using a serverless architecture is a great way to reduce development costs and ensure the scalability of your solution. However, your development team has to keep potential security issues in mind right from the start.

Making sure that your serverless application is secure isn’t easy. Insecure deployment configurations, insufficient monitoring, and a lack of comprehensive security testing increase the risk of a security incident. However, these issues can be addressed by combining different types of testing techniques, following security coding guides, and securing event input to avoid malware injection.

What Are the Different Types of Data Analysis?

Analysis The most successful businesses and organizations are those that constantly learn and adapt. No matter what industry you’re operating in, it’s essential to understand what has happened in the past, what’s going on now, and to anticipate what might happen in the future. So how do companies do that?


The answer lies in data analytics. Most companies are collecting data all the time—but, in its raw form, this data doesn’t really mean anything. It’s what you do with the data that counts. Data analytics is the process of analyzing raw data in order to draw out patterns, trends, and insights that can tell you something meaningful about a particular area of the business. These insights are then used to make smart, data-driven decisions.

1. Descriptive analytics: What happened?

Descriptive analytics looks at what has happened in the past. As the name suggests, the purpose of descriptive analytics is to simply describe what has happened; it doesn’t try to explain why this might have happened or to establish cause-and-effect relationships. The aim is solely to provide an easily digestible snapshot.

Google Analytics is a good example of descriptive analytics in action; it provides a simple overview of what’s been going on with your website, showing you how many people visited in a given time period, for example, or where your visitors came from. Similarly, tools like HubSpot will show you how many people opened a particular email or engaged with a certain campaign.

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2. Diagnostic analytics: Why did it happen?

Diagnostic analytics seeks to delve deeper in order to understand why something happened. The main purpose of diagnostic analytics is to identify and respond to anomalies within your data. For example: If your descriptive analysis shows that there was a 20% drop in sales for the month of March, you’ll want to find out why. The next logical step is to perform a diagnostic analysis.

In order to get to the root cause, the analyst will start by identifying any additional data sources that might offer further insight into why the drop in sales occurred. They might drill down to find that, despite a healthy volume of website visitors and a good number of “add to cart” actions, very few customers proceeded to actually check out and make a purchase. Upon further inspection, it comes to light that the majority of customers abandoned ship at the point of filling out their delivery address.

3. Predictive analytics: What is likely to happen in the future?

Predictive analytics seeks to predict what is likely to happen in the future. Based on past patterns and trends, data analysts can devise predictive models which estimate the likelihood of a future event or outcome. This is especially useful as it enables businesses to plan ahead.

Predictive models use the relationship between a set of variables to make predictions; for example, you might use the correlation between seasonality and sales figures to predict when sales are likely to drop. If your predictive model tells you that sales are likely to go down in summer, you might use this information to come up with a summer-related promotional campaign, or to decrease expenditure elsewhere to make up for the seasonal dip.

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4. Prescriptive analytics: What’s the best course of action?

Prescriptive analytics looks at what has happened, why it happened, and what might happen in order to determine what should be done next. In other words, prescriptive analytics shows you how you can best take advantage of the future outcomes that have been predicted. What steps can you take to avoid a future problem? What can you do to capitalize on an emerging trend?

5. Key takeaways and further reading

In some ways, data analytics is a bit like a treasure hunt; based on clues and insights from the past, you can work out what your next move should be. With the right type of analysis, all kinds of businesses and organizations can use their data to make smarter decisions, invest more wisely, improve internal processes, and ultimately increase their chances of success. To summarize, there are four main types of data analysis to be aware of:

  1. Descriptive analytics: What happened?
  2. Diagnostic analytics: Why did it happen?
  3. Predictive analytics: What is likely to happen in the future?
  4. Prescriptive analytics: What is the best course of action to take?

Importance of developing a mobile app for your business

Mobile app have occupied a huge place in everyone’s life and that’s why the demand has been increased like never before. Mobile apps make your work easy, smooth and fast. The customers in today’s world are on the move, and are always looking to get everything they need on their fingertips. No matter what, they use mobile phones, tablets or other mobile devices to remain updated about the information they need. That is the reason why mobile apps are so vital in today’s market.

mobile app

Most of the small businesses believe that mobile apps are solely for big brand names like Amazon, MakeMyTrip, Axis Bank, etc. but they may be wrong. More and more small businesses are following the mobile trend. They understand the effectiveness of mobile strategy, which involves more than just a mobile-friendly website. Many small businesses these days you come across have their own dedicated mobile app, be it coffee shop, beauty spa or a grocery store. All these business owners are ahead of the game and want to stand out of the competition by taking their marketing to the next level.

Mobile apps allow customers to have all your information at their fingertips and on the go. Hence, it is always important to have an app works on multiple mobile application platforms.

Take a look at the couple of benefits of mobile app for businesses:

  • Visible to your customers all the time
  • Stand out from the competition
  • Create a direct marketing channel
  • Provide value to your customers
  • Build brand recognition
  • Building brand loyalty
  • Improve customer engagement
  • Increase sell-through
  • Increase exposure across mobile devices
  • Best marketing channel
  • Connect with on-the-go consumers

Need of a dedicated team to develop your mobile application:

The advantages of outsourcing a project are many. The dedicated development model is one among them. There are various phases during the mobile app development, where you need a dedicated team of developers which can:

  1. Quickly develop something right from the scratch or expand its existing abilities.
  2. Work cross functionally and is customer centric alongside data influenced.
  3. Translate your aims to its material form with the assistance of advance technologies available.
  4. Or, being an enterprise you are working with a tight deadline on a specific project and need a dedicated and skilled team of developers to help you.

In these situations, you will require a dedicated development team who can help you tackle on your local markets. The most vital advantage of this model includes a properly nurtured working environment within the organization with required processes, practices, and tools.

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How much a dedicated mobile app development team can cost you?

To develop a mobile app for Android and for iOS, a proper dedicated team charges anywhere between $25 -$100 per hour.

Companies follow these hiring models which will determine the cost to develop the app:

  • Full Time: You can hire mobile app developers on a full time role which involves 5 days a week and 8 hours a day working shift.
  • Part Time: Part time development team will work for 5 days a week and 4 hours a day.
  • Hourly Basis: You can hire a development team to work on hourly basis which can start from a minimum of 20 hours a month.

How to be assured of the quality?

When you decide to outsource mobile app development, you might wonder if outsourcing will affect the quality. Always be confident and assure the potential of your outsourcing partners while shortlisting them. For better understanding of their strengths always try to meet the teams or individuals before hiring. Focus on following checkpoints like:

  • Are they strong on DevOps and agile?
  • Were they aware of all the standards and latest technologies?
  • Do they consider security as a priority?
  • What are the success factors and procedures they ensure?
  • Do they safeguard your app when in need?

If you get satisfied answers for all these quality checks, then you are sure to select the right person or team to work on your mobile app that always focus on quality and the smooth process of your application.

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How WeDigTech can help you build a mobile app team and develop great partnership

Looking to scale your business to another level? Contact WeDigTech to hire a dedicated team of mobile app developers. Whether you need iPhone app, iPad app or Android application development solutions, our dedicated developers can deliver high quality, scalable mobile apps.