To address quality concerns, crucial for customer satisfaction and loyalty, businesses are investing in more scalable and efficient software testing services. In fact report by Marketsandmarkets estimated the automation testing market to be worth more than USD 28 billion in 2023. This promising growth is owed to many managed testing services providers like Zymr that are helping businesses across industries to adopt Agile/DevOps, develop complex software systems, and achieve faster time-to-market.

Legacy systems have been important in the growth and success of several organizations. However, as these systems and applications age, they slow down and become increasingly costly to operate and manage. As per the U.S. Government Accountability Office, operating and maintaining legacy systems consumes over 80% of IT expenses. Organizations must scale and update these systems to accommodate their evolving business needs. This is where legacy application modernization can help.

AI and generative Al can lead to major enterprise advancements and productivity gains. By offering new capabilities, they open up opportunities for enhancing customer engagement, content creation, virtual experts, process automation and optimization, and more.

Significant API adoption, management, and integration with emerging technologies like Generative AI underscore the crucial role of API in modern digital landscapes. Recent research shows that companies integrating APIs experienced a significant 12.9% surge in market capitalization. Moving a step further, Gartner predicts that by 2026, more than 80% of enterprises will have employed Generative AI APIs or implemented applications enabled by Generative AI.

In an era where data breaches generate headlines and data privacy is an increasing concern, how can organizations use the massive amounts of data they acquire without jeopardizing individual privacy? The solution could be found in a unique amalgamation of data anonymization approaches. As we dive into this fascinating topic, we discover how technology is transforming how we anonymize data, ensuring that the insights we gain are useful and respectful of privacy.

When it comes to keeping your OAuth Client Credentials endpoints secure and high-performing, monitoring is crucial. Whether you’re a non-technical business owner, a software engineer, a student, a product owner, a web agency, or a DevOps professional, understanding and implementing effective monitoring can save you from a lot of headaches. In this article, we’ll dive into the top 10 best tools for monitoring OAuth endpoints, helping you find the best fit for your needs.

Like many other industries, fintech has also been witnessing the integration of cognitive technologies as a key driving force behind recent transformations. Powerful tools, such as artificial intelligence (AI) and machine learning, are empowering businesses with swift transaction processing, precise data analysis, and optimized resource utilization. Thus, it is apt to say that a future with sustainable fintech software development cannot be mutually exclusive to the aspirations of cognitive technologies.

REST APIs are a powerful tool to bring together multiple applications. While REST APIs are extremely useful, creating and deploying them into production is a highly complex and time-consuming process. If you’re building your own REST API, you should be familiar with some of the industry best practices for naming REST API endpoints. For many developers, using a development platform is a good way to get started. It streamlines the development process and ensures you're able to get started immediately.