Romexsoft Blog
Stay updated with our expert blog, where we share the latest insights on software development, emerging tech trends, industry tendencies, and best practices from our personal experience.
We also provide deep dives into AWS services, offering practical cases, useful tips, and well-thought-out strategies to help you navigate the Amazon cloud.
Given the complexity of balancing business objectives with technological demands, we have created this guide to help you choose and implement the optimal multi tenant architecture for SaaS applications using Java, Spring Boot, and AWS.
By the end of this article, you will understand how to select the optimal approach for your business requirements and how Romexsoft’s expertise can help you achieve your SaaS goals.
In particular, we will cover:
- What multi-tenancy in cloud computing is
- What the benefits and disadvantages of each multi tenant architecture are
- How to implement different types of architectures using Java, Spring Boot, and AWS
- How businesses can understand which type is the most suitable for their needs
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.
Many companies revere distributed systems as a one-size-fits-all approach, which optimally solves any software issue, but does it?
This article explores architecture options from various monolith types and transition options to micro frontends in action: their characteristics, merits and demerits, indications, and nuances between micro frontends in monorepos and multirepos. Be sure to make informed decisions in your frontend architecture journey after perusing this go-to article.
Should any of these questions bother you, keep on reading:
- What is micro frontend architecture?
- How to find out if I need micro frontends?
- What is the difference between monoliths, integrated apps and micro frontends?
- How are present-day monoliths similar to and different from distributed systems?
- What are the risks of micro frontend architecture?
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.
Embarking on a successful project journey means navigating through the intricacies of project management, a dynamic process marked by distinct stages, each demanding unique steps and tools. This article is an all-encompassing exploration of the project manager’s pivotal role throughout the project life cycle. Join us as we uncover tips and insights, providing a roadmap for the complex realm of project management that can be full of pitfalls. Browse through this article to find out:
- what is project management life cycle
- what tools and documents will come in handy in managing a project
- what duties a project manager is supposed to adopt
- what challenges occur in the project management flow
- how to prevent and tackle the project management issues.
One data breach costs $3.7 million in lost revenues. Learn about the essential EHR features to patch all the vulnerabilities and keep patient data safe.
