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
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.
Should your daily routine of search and data analytics revolve around the OpenSearch engine, you are probably well-acquainted with the difficulties that come along. In recent years, Amazon has done tons to streamline data integration, enhance search capabilities, and fortify security analytics within the OpenSearch ecosystem.
Read on to find out the latest innovations for extracting the most relevant insights from your data in the least burdensome way. The article sheds light on:
- What pains a data engineer, developer, and security analyst face while using the OpenSearch suite
- How AWS has addressed these inherent challenges
- What benefits you can gain from Amazon OpenSearch innovations
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.
We are thrilled to announce that Romexsoft has officially become an Amazon CloudFront Service Delivery partner. This designation reflects our dedication to providing top-notch networking and content delivery services (CDN).
The achievement is a testament to our technical prowess, commitment to AWS best practices, and, most importantly, the proven success we’ve already delivered to our customers.
Amazon CloudFront is a content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency and high transfer speeds, all within a developer-friendly environment.
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
Achieving application observability: the ability to gain insight into an app’s inner operation, is a widespread business challenge aggravated by a common problem: effective instrumentation. While observability is increasingly important, the way to achieving it can be obstructed by the intricacies of instrumenting effectively.
The article will lead you to Amazon’s best practices for overcoming this challenge, enabling organizations to gather and analyze their app’s information in order to gain insights as well as take appropriate actions to tackle issues and ensure optimal app performance. Upon reading, you will be able to apply the following knowledge to your app’s merit:
- why instrumentation matters for observability
- how to handle cardinality within visibility
- what tools and services AWS offers for instrumentation
- what best practices Amazon promotes for achieving visibility
Like many organizations, yours may be facing challenges when seeking secure, scalable, and high-performing search and analytics solutions. Indeed, the pursuit of making the most of the available data is often hindered by operational complexities. Be it data security or scalability issues, this is where Amazon OpenSearch Service comes into play.
Should you be new to Amazon OpenSearch Service or quite a confident user already, this all-encompassing article will guide you in the intricacies of data-driven approach and analytics. The article will give you a thorough overview on:
- What OpenSearch Service is and how it relates to OpenSearch
- How Amazon OpenSearch operates and what functions covers
- What the typical use cases for OpenSearch Service are
- What benefits OpenSearch Service provides and at what cost