We’re delighted to reveal that Romexsoft has once again achieved the AWS Advanced Tier Services Partner designation, a testament to our continued commitment to delivering exceptional cloud solutions on Amazon Web Services. This status reaffirms our expertise, technical skill, and dedication to helping clients harness the power of AWS for their business.

We are excited to let you know our company has achieved the AWS DevOps Competency. This recognition highlights Romexsoft’s proven expertise in delivering DevOps services on AWS, positioning the company as a trusted and skilled partner for businesses seeking to streamline and optimize their cloud infrastructure and software development processes.

AWS established the DevOps Competency Program to officially recognize partners with verified expertise in cloud architecture, proven methodologies, and a strong, real-world track record of delivering sophisticated DevOps solutions to their customers.

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.

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.