Expertise In
- Software Architecture
- Application Modernization
- SaaS Development
- SaaS DevOps
- Application Observability
- HIPAA Compliance
Due to his leadership skills and dedication to the success of the fintech projects he was involved in, he soon became a senior business analyst.
In this role, he elicits and documents requirements for complex BFSI projects, as well as plans and oversees their delivery, ensuring they adhere to timelines, budgets, and quality standards.
Author’s Top Article
We created this article to talk about:
- What benefits every SaaS company should expect from App Modernization?
- How to align an Application Modernization Strategy with business goals?
- How to Modernize SaaS Apps and Platforms they are run on?
- How to build a real-world App Modernization Roadmap?
Author’s All Publications
Which cloud platform reigns supreme? Azure, AWS, or Google Cloud? In this article, we explore identical cloud services from these leading providers, with their distinct offerings and shared traits.
Keep on reading to find out how these platforms measure up against each other at an organizational level and which one has the upper hand in the AWS vs Azure vs GCP comparison. Upon pursuing this article, you will be able to:
- Trace back the origin and strategic approaches of major cloud providers
- Compare GCP, AWS and Azure’s cloud computing offerings
- Investigate the merits and demerits of cloud platforms
Data integrity in automation testing is a cornerstone for achieving reliable and accurate test outcomes. The essence of maintaining this integrity lies in a comprehensive understanding of data validation, continuous monitoring, and proactive mitigation of risks associated with data handling in automated tests. This guide delves deep into the realms of data integrity, providing a structured pathway to ensure the quality and reliability of automation testing endeavors. Insights include:
- Definition and importance of data integrity in the landscape of automation testing.
- Exploration of potential risks and threats to data integrity during automation tests.
- Detailed insights into effective data validation strategies ensuring accuracy and consistency of test data.
- Integration of data integrity checks within test automation frameworks for continuous validation.
- Significance of regular data backups and efficient recovery strategies in maintaining data integrity.
- The role of continuous monitoring and auditing in assuring data integrity throughout the testing process.
- Insightful discussion on common challenges and effective solutions in maintaining data integrity in automation tests.
Architecture modernization in data processing may be presented as a perfect solution to the efficacy, cost and performance optimization issues among businesses, though it is the question of appropriate and timely execution of the latest approaches.
For this reason, we offer you a piece of reading that will inform you about the fundamentals and pitfalls in the process of building modern data architecture for the most up-to-date applications.
The article recounts:
- data challenges of traditional data architecture
- gains from adopting innovative data architecture
- architecture implementation strategy
- orchestrating data architecture in a modern way
- AWS for contemporary data frameworks.
Keep pace with the dynamic field of QA with these forward-looking insights:
- Integrate AI and predictive analytics for proactive testing strategies.
- Embrace both shift-left and shift-right approaches to cover the entire development lifecycle.
- Leverage Test Environment as a Service (TEaaS) for agile, on-demand testing infrastructures.
- Understand that advanced automation techniques are key to maintaining a competitive edge and enhancing software quality.
Granted that modern web or mobile applications are an indispensable part of delivering customer value, it is only justifiable for businesses to invest in modern architecture construction to pave the way to customer satisfaction and competitive standing.
Unfortunately, the struggle organizations face in balancing technology management and innovation holds many businesses back from reaping the results of their application modernization. In order to help you address this frequent issue permeating the process of modern application development, Romexsoft has created this article which reveals:
- What the most common advantages of modern architecture are
- What steps cloud application development entails
- How AWS application development services support modern infrastructures
- Why collaborate with certified vendors in AWS consulting and application development
We at Romexsoft have accumulated extensive experience in assisting our customers in adopting migrating their solutions to the cloud so as to leverage what it has to offer. Drawing from our practical expertise in cloud adoption and migration, we have gained many an insight into the as well as the cost of delaying and avoiding the adoption of cloud services. Thus in this article, we will recount the investments and profits associated with cloud computing: both literally and non-literally. To be more specific, the article explains:
- what the most common reasons for cloud adoption are
- how the cloud adoption begins and what challenges await at the start
- what the typical cloud adoption differentiators are
- what the cost of doing nothing with cloud adoption is
- what the implications of slow cloud migration are
Efficient cloud cost management is a paramount concern for businesses that prioritize innovation and their competitive standing. At the same time, heavy reliance on cloud services to deliver value effectively, smoothly, and rapidly entails the need for cost optimization while maintaining performance. For many businesses, a journey of achieving maximal cost efficiency is challenging to set out on independently, so this article recites the strategies and helpful measures one can employ on the way to sustainable cost optimization.
It covers the questions of:
- how the AWS Well-Architected Framework handles cloud costs
- why and how to analyze business expenditure
- what the cost optimization strategy implementation entails
- how AWS tools aid in cost management
- what role AWS-certified partners play in maximizing cost efficiency.
Mastering Selenium for automation testing is a pathway towards elevating software quality assurance endeavors. The intricacy of handling dynamic elements, managing pop-ups, and tackling synchronization issues can often hinder the smooth progress of automation testing tasks. This guide navigates through the nuances of Selenium, offering a structured pathway towards overcoming common challenges and leveraging advanced strategies for enhanced testing efficiency. Insights include:
- Strategies for handling dynamic elements effectively in Selenium scripts.
- Techniques for managing common disruptions like pop-ups and alerts.
- Solutions for tackling synchronization issues ensuring robust script execution.
- Debugging strategies to identify and rectify issues in your Selenium scripts.
- Leveraging advanced Selenium techniques for elevated testing capabilities.
- Tips and best practices from seasoned Selenium experts for optimized script development.
- Engaging with the Selenium community for continuous learning and staying updated.