What is RPA and How Does it Work?

What is robotic process automation?

The RPA systems Charter Global creates enables a business to automate a repeatable process that typically requires a human component. As an ever-evolving intelligent software, the RPA is able to learn from data, interpret a situation, and communicate as needed to perform a task (in a broad range of complexities). We often recommend RPAs to businesses that are in need of a solution that doesn’t make mistakes, is able to run 24/7, and there is no downtime for the task at hand.

How RPA software works

RPA robots are capable of mimicking many–if not all–human user actions. They log into applications, move files and folders, copy and paste data, fill in forms, extract structured and semi-structured data from documents, scrape browsers, and more.

What are the business benefits of RPA?

Robots are here to stay. The faster you harvest their potential, the faster you create a competitive edge for your business. Robotic Process Automation delivers direct profitability while improving accuracy across organizations and industries. Enabling RPA to handle any processes will not only transform and streamline your organization's workflow. It will allow for superior scalability and flexibility within the enterprise, doubled by the fast, tailored response to specific needs. Software robots are easy to train and they integrate seamlessly into any system. Multiply them, and instantly deploy more as you go. They constantly report on their progress so you can go even bigger and better by using operational and business predictability while improving strategically.

Creating RPA with Charter Global

Our first step with clients interested in Robotic Process Automations is to identify and delineate the workflow process of the organization. Once established, our expert consulting team is able to offer insights and provide recommendations on how the business could improve production, reduce costs, and save time. We are able to recommend the best automation tools specifically for their business, integrate those tools and technologies, and provide test cycles to ensure they are performing at an optimal level.

Charter Global is ready to implement an already-prepared, in-house automation framework, and customize it to fit the parameters and goals of the business model. This enables our clients to see the results and feedback in an accelerated time frame, as well as a faster time-to-market with little, to no downtime.

If you are ready to find more productivity in your business, give us a call today to talk about Robotic Process Automation – it just might be the perfect option for you!

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.

 

Read More: https://www.charterglobal.com/3-trends-in-microservices/

 

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.

 

Accelerate Your Application Delivery with QA Automated Testing - Charter Global

2019 will be remembered as an important year for software testing services – with a record 97% of Agile adoption according to Forrester. Upon entering 2020, it’s time to identify several new software testing trends in hopes of achieving new, strategic heights.

As advancements in testing approaches and techniques continue to surge, QA Automation Testing Services teams strive to improve their skill sets. This is crucial in maintaining synchronicity with rapid technological advances that effectively make of break software delivery strategy.

What trends have shown promise in 2019?

Creating a unique, refined, and savory customer experience has taken center stage in 2019 software delivery trends. Growing organizations rely on high-quality software to systematically produce succinct deliverable.

Moving forward, development teams must consider the following trends to maintain a competitive advantage in a fiercely expanding market.

AI Finds its Footing in Business and QA

The rise of automation and Artificial intelligence was predicted in last year’s trends. Nevertheless, it has been included this year as companies will analyze how artificial intelligence applies to their business. According to The World Quality report, 55% of respondents said that this was their main problem with setting up AI projects.

With regards to QA, more companies are expected to adopt machine learning techniques in areas such as predictive analytics (predicting future outcomes of the testing process based on historical data), defect analytics (highlighting at-risk areas of an application) and test suite optimization (identifying redundant test cases).

The use of AI in testing might require newer skills which will eventually lead to organizations creating new roles for AI QA strategists, data scientists, as well as AI test experts in QA and testing teams.

Instant Apps Take the Spotlight

Instant apps are native mobile apps that are smaller in size. Thus, more convenient for the user who is no longer required to download a standalone app.

The demand for better user experiences and shorter load times are constantly increasing.

Google’s introduction of Android App Bundles allows developers to modularize their apps and deliver features on demand; this will make more organizations adopt the Instant Apps approach.

QA Decentralization

The QA and testing department has been fragmented as a result of the transition to agile and DevOps. QA is now embedded into cross-functional teams. So, quality is dependent on the team members’ skills and their responsibility to integrate testing into their product life-cycle.

Continuous Improvement

The trends mentioned above have contributed to the rise in the adoption of Agile & DevOps over the past few years. Testing is an early part of the development process. More companies will adopt more agile/DevOps models to help them release faster and receive quick feedback. Other companies will take it a step further by adopting approaches such as continuous testing and continuous monitoring.

An attitude of “continuous improvement” will enhance the overall performance and quality of products by teams.

Quality Engineering over Quality Assurance  

QA professionals will enhance their technical skills and include some automation-related work organized by quality engineers. The role of Quality Assurance will deviate to implementing the latest technologies to boost the speed of quality checks. This is a trend that will come into play in the coming years.

Big Data Testing

With big data testing, testers have to verify that terabytes of data are successfully processed. Additionally, the aggressive increase in quantity is making it more tasking for companies. More likely, QA will have to deal with validating the quality, accuracy, and consistency of huge datasets.

These trends above demonstrate the crucial transformation both companies and QA Automation Testing Services is undergoing. The expectations of consumers will continue to shoot up. Organizations must adapt and deliver if they must remain in the front line and grow beyond 2019.

If you are interested in learning more about Benefits of QA Automated Testing Services, check out other blogs here.

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.