Thursday, February 20, 2020

Top 3 Trends In Microservices | Charter Global

Microservices is a software development methodology, or Service Oriented Architecture (SOA) style responsible for application structuring. From the performance of microservices leading up to 2019, experts have identified some trends that will characterize microservices in 2020.
 
1: Test Automation
 
Conventionally, individuals structured test cases for determining whether or not software will work correctly across a wide range of circumstances. QA Automation Testing Services engineers were often responsible for creating and running test cases. The current trend is for software engineers to be in charge of testing, instead of the traditional QA team. This is the result of test-driven development that requires developers to carry out tests throughout the Continuous Integration (CI) pipeline.
 
Businesses and organizations look forward to a software testing services that automates design and has the ability to run and report the results. So, there should be no friction with this solution. It should smoothly connect to CI systems, add comments as a human engineer would do, and analyze new code in real time
 
2: Incident Response
 
The rise of Site Reliability Engineers is a response to the intricately distributed systems. These systems suffer resiliency challenges often. So, the engineers automate manual processes that were previously performed by system admins. Now, they are in charge of efficiency, performance, latency, availability, capacity planning, and emergency response.
 
The financial implications of downtime can be quite significant, which necessitates a fast solution. According to Gartner, this financial implication is up to approximately 6k average revenue loss per minute. In fact, big retail sites, such as Amazon, may encounter up to $220k revenue loss per minute. Overall, it is not just money that is lost, the brand’s image is also at risk with such downtime issues.
 
Solutions are expected to be geared towards providing innovative incident response. Therefore, any centralized platform should also list out the impact and status of the incident, including the event timeline, status and effect on the long run, in addition to assigning roles and kicking off workflows.
 
3: CD/Verification for Enhanced Productivity
 
CD simply stands for Continuous Deployment. There’s always pressure on businesses to speed up software release cycles. With CD, any code that passes testing is applied to production in an automated manner. Compared to CI, the task of ensuring code can be safely and rapidly deployed to production is accomplished by a set of design. Continuous Deployment goes further to manage the full deployment.
 
The manual activities of DevOps engineers are being replaced by CD. Because of this, CD will be aided to become a point of intelligent control for multi-cloud environments. It will make predictive abilities available. Such predictive capabilities include insights into the best region, cloud, as well as configuration for service deployment in line with its circumstances.
 
Finally, experts have predicted that more developers will be tooling around the deployments of microservices, which would cut down the cost associated with complexity. So, organizations can keep on the trend of migration to microservice architectures.
 
 
Software development continues to develop and change each year. By researching the latest trends and keeping your process relevant, your business has a greater chance at success. If you are looking to build a scalable digital solution for your business, you should approach a software development company that works on the latest technology trends and implements the above technology stack. 
 
Get in touch with our team to discuss IT staffing and software development solutions that can supersede your existing solutions on mobile and web applications.
 

Machine Learning Services: A Valuable Enterprise

Machine Learning is a valuable player in the realm of the Internet of Things. ML and Internet of Things (IoT) have gained tremendous popularity over the past few years, considered by many as revolutionary, game changing tech. Yet, much confusion exists in terms of understanding the purpose of Machine Learning Models, along with it’s benefits and suitability for use. 
 
Here’s a breakdown of Machine Learning, benefits of ML in AI and IoT, when it should be used, and it’s real-world applications today.
 
When Is Machine Learning Valuable?
 
In general, machine learning is valuable when you know what you want but you don’t know the important input variables to make that decision. So you give the machine learning algorithm your stated goals, or inputs. Based on Machine learning systems, and then it “learns” from the data which factors are important in achieving that goal.
 
The data models that are typical of traditional data analytics are often static and of limited use in addressing unstructured, fast-changing, sequestered amounts of data. When it comes to IoT, it’s often necessary to identify correlations between dozens of sensor inputs and external factors that are rapidly producing millions of data points.
 
In addition, machine learning development services has the ability to accurately predicting future events. Whereas the data models built using traditional data analytics are static, machine learning algorithms constantly improve over time as more data is captured and assimilated. This means that the machine learning algorithm can make predictions, see what actually happens, compare against its predictions, then adjust to become more accurate.
 
The predictive analytics made possible by machine learning are hugely valuable for many IoT applications. Let’s take a look at a few concrete examples.
 
 
How are Machine Learning Applications used in IoT?
 
1. Cost Savings in Industrial Applications:
 
Predictive capabilities are extremely useful in an industrial setting. By drawing data from multiple IoT sensors in or on machines, machine learning applications can “learn” what’s typical for the machine and then detect when something abnormal begins to occur.
 
Predicting when a machine needs maintenance via IoT data is incredibly valuable, translating into millions of dollars in saved costs. A great example is Goldcorp, a mining company that uses immense vehicles to haul away materials.
 
When these hauling vehicles break down, it costs Goldcorp $2 million per day in lost productivity. Goldcorp is now using machine learning to predict with over 90% accuracy when machines will need maintenance, meaning huge cost savings.
 
2. Shaping Experiences to Individuals:
 
We’re actually all familiar with machine learning applications in our everyday lives. Both Amazon and Netflix use machine learning to learn our preferences and provide a better experience for the user. That could mean suggesting products that you might like or providing relevant recommendations for movies and TV shows.
 
Similarly, in IoT machine learning can be extremely valuable in shaping our environment to our personal preferences.
 
The billions of sensors and devices that will continue to power connected devices, smart homes, and IoT devices in the coming years will generate exponentially more data. This huge increase in data will drive great improvements in machine learning, opening countless opportunities for us to reap the benefits.
 
Not only we will be able to predict when machines need maintenance, we’ll be able to predict when we need maintenance too. Machine learning will be applied to the data from our wearable to learn our baseline and determine when our vitals have become abnormal, calling a doctor or ambulance automatically if necessary.
 
Beyond individuals, we’ll be able to use that health data at scale to see trends across entire populations, predicting outbreaks of disease and proactively addressing health problems.
 
Although both machine learning and IoT can be over-hyped, the future of machine learning applications in IoT are worthy of that hype. We’re really just scratching the surface of what’s possible.
 
Read More: 
 
 
Software development continues to develop and change each year. By researching the latest trends and keeping your process relevant, your business has a greater chance at success. If you are looking to build a scalable digital solution for your business, you should approach a software development company that works on the latest technology trends and implements the above technology stack. 
 
Get in touch with our team to discuss IT staffing and software development solutions that can supersede your existing solutions on mobile and web applications.
 

Want Simple and Efficient CRM Configuration? Take the No Code Migration Route with Dynamics 365 CRM – Charter Global

The Microsoft Dynamics 365 CRM Configuration migration tool is designed to migrate the entity configuration data from one environment to another. To clarify, configuration data is a kind of metadata, or data about data. The configuration tool allows efficient movement of entity configuration data without custom code or leveraging ETL tools. Additionally, there are many other valuable features that will help users.
 
This tool will:
 
  • Specify conditions to avoid duplicate records
  • Enable or disable plug-ins
  • Easy import and export data
  • Specify desired entities which should be included
 
Microsoft Dynamics 365  is one of the most effective tools that proficiently caters to different business needs. In addition, all types of CRM developers choose Dynamics 365 because of its no-code property.
 
Dynamics 365 Apps:
 
As a full-spectrum powerful CRM engine, Dynamics 365 is equipped with the following apps:
 
  1. Sales
  2. Customer Service
  3. Marketing
  4. Project Service Automation
  5. Field Service
 
These apps seamlessly work together to empower the sales, marketing, and service delivery teams. Our professionals will work together with your team to understand your business’ unique needs in a better way to plan and execute the most effective CRM system.
 
 
Dynamics 365 can be implemented solely in the cloud, on premise or hybrid. This application integrates with other products like Office 365 and comes with advanced features like Microsoft Flow and Microsoft Power Apps which enhance its productivity and maximize employee efficiency.
 
Advantages of Using Dynamics 365 CRM
 
Benefits of using a configuration migration tool like Dynamics 365 CRM are:
 
1. It’ll digitally transform your organization with customer data and customer engagement being handled at a single platform.
2. Seamless management of sales, marketing, and customer service departments.
3. Enhanced accessibility.
4. Automate processes within the business.
 
Whether you want to migrate your business from other systems to CRM or want to upgrade from older versions, this requires a well-thought-out plan. Dynamics 365 CRM strategists at Charter Global have worked with several organizations and the well-defined methodology that’s designed by our experts assisted our clients in their data migration.
 
If you want to learn more about Dynamics 365, Please visit our website:
 
 
Software development continues to develop and change each year. By researching the latest trends and keeping your process relevant, your business has a greater chance at success.

If you are looking to build a scalable digital solution for your business, you should approach a software development company that works on the latest technology trends and implements the above technology stack. 
 
Get in touch with our team to discuss IT staffing and software development solutions that can supersede your existing solutions on mobile and web applications.
 

6 Reasons Organizations Prefer Open Source Software | Charter Global

Why do Organizations Prefer Open Source Software?
 
Executives are choosing Open Source software and finding great success. More and more organizations are choosing it over proprietary software and a lot more will make this transition in years to come. Understanding the concept of open source software and its functionality is key to utilizing the benefits. Charter Global has the knowledge and experience for the most successful Open Source transition.
 
What is Open Source Software?
 
As the name suggests, Open Source Software Development Solutions is one whose original source code is publicly available and can be modified at will. This type of software either has its source code publicly available or includes it somewhere inside the compiled software download, making it easy for the user to modify, customize or add/remove features based on their preferences.
 
Contributions to Open Source
 
The open source concept has contributed significantly to software development. Because of its open nature, it becomes easy for contributors to add new features, extend features and fix bugs. These changes usually reflect in newer versions along with the source code for further improvement. This makes it a formidable system that can run for a long term and is adaptive to all kinds of conditions.
 
Why Companies Prefer Open Source?
 
1) Affordability: There is no need to spend a fortune on proprietary software where additional charges for maintenance and software updates are involved. With open source software development, contributors make all the needed changes. It performs well in real time because of the contributions from multiple individual experts. There is always a customized version that meets specific requirements out there!
 
2) Customizable: Open source software shares its source code, making it quite easy to understand and modify as required. This is unlike commercial software, where every time a change is required in the product, the vendor has to be contacted, and then wait for them to deliver the feature (which can take forever).
 
3) Adaptive: The source code of the open source software is available publicly and its modifications are not limited to a particular person or organization. Additionally, it has an extendibility scope that is not limited to any particular design or architecture. 
 
4) Solid Security: Security is better in the open source system, because there are experienced experts from all over, always looking out for possible security loopholes and fixing them. This is one feature that gives the open source an edge over proprietary software.
 
5) Better Support: Typical open source software has numerous documentations as well as community wikis that host answers to frequently asked questions. Individuals and group experts who worked on the technology/platform are available on online open source forums. Some of the open source vendors are also available to provide support for the software for a small fee.
 
6) Finding Resources: As mentioned in the previous point, resources for open source are available everywhere. On the other hand, commercial software developers seldom share their codes or documentation to everyone. So, this makes it quite difficult to find the resources or build knowledge in that technology.
 
 
Software development continues to develop and change each year. By researching the latest trends and keeping your process relevant, your business has a greater chance at success. If you are looking to build a scalable digital solution for your business, you should approach a software development company that works on the latest technology trends and implements the above technology stack. 
 
Get in touch with our team to discuss IT staffing and software development solutions that can supersede your existing solutions on mobile and web applications.

3 Recruitment Trends on the Rise | Charter Global

According to a thorough research, “Come 2027, 60 percent of people in the work arenas would become independent professionals. The ever-changing technology is the power behind this shift, plus the new generation job seekers are reaching out more to flexibility as well as higher purpose in a career”.

Indeed, job candidates’ expectations are evolving and would definitely shake up things. Besides, a digitalized lifestyle is on the increase; for instance, in the tech sector hiring, candidates are ditching the traditional application process and are increasingly embracing a low-effort, one-click micro job site. Even for talent acquisition, the present generation is clamoring for new approaches.

1: Recruitment Automation Tools:

This is simply the use of software programs that work with new technologies to automate recruiting process. Although these automation tools for recruiting are not new, they are moving to advanced levels, beyond the regular Applicant Tracking System, as well as Recruitment Marketing Software. What people are going to witness more is a new trend that combines these job automation tools using a single platform.

These innovative recruitment tools are quite helpful in attracting, engaging and ultimately converting candidates. In addition, recruiters can use them to streamline, simplify as well as automate hiring process, resulting in a faster and increasingly efficient outcome.

2. Talent Sourcing:

A must-imbibed IT recruitment strategy in 2019 and beyond is proactive talent sourcing. According to a Linked-In research, job seekers make up only 36 percent of potential candidates.

But, over 90 percent of these people solutions show interest in information related to new job opportunities.

3: Increased Use of Mobile Recruiting Apps:

Also, the job recruiting arena will witness increase use of mobile recruiting apps in 2019 and beyond. These are apps that recruiters can adopt in posting career opportunities, especially those optimized for smart devices such as smart phones and tablets.

Many forward-thinking organizations and recruiters are already integrating these apps in their recruitment processes and strategy, while others are sluggish to do so (to their own disadvantage).

In addition to mobile recruiting apps, social recruiting will also be on the increase. This is the use of social platforms as databases for talents, and also to achieve employer branding.

Software development continues to develop and change each year. By researching the latest trends and keeping your process relevant, your business has a greater chance at success. If you are looking to build a scalable digital solution for your business, you should approach a software development company that works on the latest technology trends and implements the above technology stack.

Get in touch with our team to discuss IT staffing and software development solutions that can supersede your existing solutions on mobile and web applications.

Wednesday, February 12, 2020

Understanding Full-Stack Development

What are the differences between front-end, back-end, and full-stack development?

 

By Leila Kojouri

 

When it comes to software development, there’s no shortage of titles, surnames, and appropriations in the many job roles associated with the field.

 

Before we get into the details of full-stack development, it’s best to take a look at the big picture and understand a little bit about each primary role in software development.

 

Front end developers, for example, focus on the actual presentation of your website, and how the information is laid out in browsers and on mobile devices. 

 

Visual Appeal and Feel: Front End Development

 

Essentially, front-end developers wish to ensure the best “look and feel” of your website.  In the digital battlefield, front-end workers are equipped with an arsenal in the HTML, CSS and JavaScript (the “scripting language”). With these languages, the developer can very efficiently manipulate content on a website to make it appealing and effective to the right audience(s).

 

Everything you see on a website, such as a layout, positioning of text and images, colors, fonts, buttons, and so on—are all factors that the front-end developer working in web applications must consider in their roles. The “user experience,” for example, is largely dictated by the works of the front-end developer. 

 

The main goal of a front-end developer is to provide the platform for visitors to interact with, a platform that provides and receives information. This means some developers will be well-versed in web design and using software such as Photoshop and Illustrator to create graphics and themed layouts.

 

Data Centric Roles: Back End Development

 

While front end developers concern themselves with all things visual, back end developers concentrate on the creation, flow, and management of data. Some of the processes most often associated with back end development involve creating, editing/updating and recollecting data.

 

Common scripting languages include PHP, Ruby, and Python. With these languages, a back-end developer can create algorithms and business logic to manipulate the data that was received in front-end development.

 

This means that a back-end developer must have the ability to write code, required to receive the information input from the user – and saving it somewhere – like in a database. SQL is the language used for database management, which helps the developer interact with the database.

 

The Best of Both Worlds: Full Stack Development

 

Full-stack web developers – good ones, anyway – seek to integrate the best of both worlds in front and back end development.

 

The phrase “full-stack” quite literally means the full-stack of technology that makes up a website – so the full stack developer is proficient in both front-end and back-end programming languages and frameworks, as well as in server, network and hosting environments.

 

Usually, most full-stack developers will have spent many years working in a variety of different roles to get to this breadth and depth of knowledge.

 

They also tend to be well-versed in both business logic and user experience, meaning they are well-equipped to get hands-on – but can also guide and consult on strategy, too. 

 

Summary

 

Given this dynamic ability to use the full spectrum of development skills, it’s no wonder full stack developers are in such high demand.

 

A full-stack developer has all the keys to the house – there is no door that you cannot open.

 

It provides unparalleled freedom to simultaneously work on front-end and back-end development and evaluate the capabilities and potential of your website in real-time without having to wait for another developer to review if what you’re desiring is possible or not.

 

 

The post Understanding Full-Stack Development appeared first on Software Development & IT Staffing Company.



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Tuesday, February 11, 2020

What are the 5 phases in the Software Development Life Cycle (SDLC) - Charter Global

With all the complex processes involved in software development, it’s easy to forget the fundamental process for a successful software development life cycle (SDLC). The SDLC process includes planning, designing, developing, testing and deploying with ongoing maintenance to create and manage an applications efficiently. When faced with the task of producing high-quality software that meets a client’s expectations, requirements, time-frame, and cost estimations; understanding the SDLC is crucial.
SDLC models, or methodologies, are used to create complex applications of varying sizes and scales, such as Agile, Waterfall and Spiral. Each model follows a particular life cycle in order to ensure success in the process of software development.
SDLC Phases:
1. Planning and analysis
This phase is the most fundamental in the SDLC process. Business requirements are compiled and analyzed by a business analyst, domain expert, and project manager. The business analyst interacts with stakeholders to develop the business requirements document. They also write use cases and share this information with the project team. The aim of the requirements analysis is for quality assurance, technical feasibility, and to identify potential risks to address in order for the software to succeed.
2. Designing the product architecture

During the design phase, lead developers and technical architects create the initial high-level design plan for the software and system. This includes delivery of requirements used to create the Design Document Specification (DDS). This document details database tables to be added, new transactions to be defined, security processes, as well as hardware and system requirements.
3. Developing and coding
In this phase the database admin creates and imports the necessary data into the database. Programming languages are defined by requirements. Developers create the interface as per the coding guidelines and conduct unit testing. This is an important phase for developers. They need to be open minded and flexible if any changes are introduced by the business analyst.
4. Testing
Testers test the software against the requirements to make sure that the software is solving the needs addressed and outlined during the planning phase. All tests are conducted as functional testing, including unit testing, integration testing, system testing, acceptance testing, and non-functional testing.  
5. Maintenance
In a post-production, live custom software application development company, the system is in maintenance mode. No matter the number of users, the sophistication of the software and rigorous QA testing, issues will occur. That’s the nature of software with managing data, integration, and security, and real world usage. Access to knowledgeable, reliable support resources is essential, as is routine maintenance and staying up to date on upgrades.
Get in touch with our team to discuss IT staffing and software development solutions that can supersede your existing solutions on mobile and web applications.