SOFTWARE ENGINEERING & DEVELOPMENT
Enterprise Application Development
In the past, building applications required a lot of time, money, and risk. Due to limitations of technology, large in-house teams were responsible for managing the process in a rigid manner, with little opportunity for collaboration. These teams spent an average of three months setting up infrastructure, and ensuring that every application was available, secure, and scalable. All while the industry was undergoing developer shortages. But it doesn’t have to be that way anymore.
With the advances in enterprise application development, companies are able to build applications faster, cheaper, and with less risk than ever before. Furthermore, enterprise application development tools allow for greater collaboration, and thus more innovative apps.
How Progile Can Help
If your company wants to reap the benefits of enterprise application development, Progile can introduce you to the experts who will help you do just that. Partner with us and gain access to some of the brightest React, Java, AEM, CMS, and other developer talent on the globe.
Our enterprise application development professionals understand how to harness these valuable development tools to position you as a leader in your field. They know how to produce fast, secure, innovative results that scale along with your business. With such rapid advancement in application development, it’s easy to get left behind if you don’t have the right resources and the best people. Contact Progile to begin growing your company today.
Microservices Development
Microservices is an approach to software development that is managed by small teams and focused on building independent modules with well-defined APIs. The goal of microservices architecture is to enhance innovation and increase time-to-market by making applications more scalable and quicker to develop.
As an alternative to monolithic architecture, microservices are independent, production-ready, and involve continuous testing, making them ideal for even the most complex software applications. As a result, microservices architecture prevents bottlenecks, cuts costs, and improves time-to-market. Software is easier to scale, and new programming languages and frameworks are more easily adopted, without the risk of system interference.
As all technology companies want to cost-effectively process the large amounts of available data and stay ahead of competitors, demand for microservices developers is huge. At Progile, our microservices professionals are highly-skilled in, and have hands-on experience with, microservices, cloud technologies, and other stream processing technologies.
Integration and Data Management
Generating meaningful insights from vast amounts of data is a complex process. It is critical to have a system in place to ensure that extracted data is accurate and secure. Without such a system, your insights are likely to be worthless at best, misleading at worst. This is where a data management and integration (DMI) strategy comes into play.
DMI is essentially a set of procedures for sifting through data chaos, extracting data that is accurate and usable, and delivering it to the right people in a timely manner. Without a solid DMI strategy, data analysts waste up to 80% of their time finding secure data and sharing it with the appropriate people. With proper DMI, however, this very time-consuming and costly problem can be avoided.
At the core of successful data integration are three critical steps: extraction, transformation, and loading (often referred to as ETL).
- Extraction involves collecting data from various sources;
- Transformation occurs when collected data is made compatible, typically through defining common datasets; and
- Loading involves putting the accurate data into the database to be analyzed by the appropriate people.
With the overwhelming amount of data available, companies can quickly find themselves drowning in a sea of data chaos without the right ETL process, and without skilled data analysts on their team. The best data in the world isn’t worth much if the people interpreting it don’t have the skill and experience to do so effectively.
When you partner with Progile, you gain access to a pool of highly-talented data analysts who can effectively utilize and oversee ETL processes and and generate meaningful insights from this information. Contact us today to learn more.
QA and Automation Reporting
As software becomes more complex and consumer demand continues to grow, developers must deliver updates and apps faster than ever before. But without necessary testing, bugs and poor quality threaten a company’s software, reputation, and bottom line. That’s where Quality Assurance (QA) automation comes in.
QA automation is a process that ensures a company’s ability to consistently deliver the best possible products, services, and results. Using a set of standardized procedures and specific benchmarks, you can ensure that your company’s products and services meet certain requirements before being released to the public.
QA automation and reporting does not involve individualized testing. Rather, it focuses on a set of procedures that ultimately ensure a favorable outcome every time, without the need for costly, time-consuming testing. Through the use of automated testing tools, QA automation effectively runs tests on software and creates a report of the results. Tests that were once performed manually and in stages, can now be used multiple times per day for large-scale software testing, and with better accuracy.
Quality Assurance Professionals
In order to ensure that your QA automation and reporting processes are implemented and deployed for the best results, it is critical to have a QA team with the necessary skills, experience, and training.
At Progile, our QA professionals are skilled at choosing the best framework for each test case — using common practices, tools, and standards — and creating test plans that clearly establish your process and project goals. Our QA engineers are skilled at writing well-structured, reusable scripts, and performing required tests, whether automated or manual. Once tests have been run and reports have been generated, our QA experts will analyze results to identify bugs or defects, and to determine whether additional testing is required.