Over 66% of organizations still rely on legacy applications for their core operations, and more than 60% use them for customer-facing functions. This widespread dependence on outdated technology highlights the significant role legacy systems play in modern business environments. Despite their critical functions, these systems also lead to increased maintenance costs, security vulnerabilities, and limited scalability.

79% of organizations acknowledge their increasing reliance on APIs for revenue generation. APIs facilitate transactions, streamline operations, and enhance customer experiences. However, any disruptions or malfunctions in API functionality can have significant consequences. While API testing addresses these issues, API test automation is essential for ensuring APIs function correctly and reliably.

Application Programming Interface (API) monitoring tools are essential software solutions designed to closely monitor API performance, availability, and security. These tools track key performance metrics like response time, throughput, and latency, helping organizations identify and resolve any issues that could slow down or disrupt their services. These monitoring tools are essential for ensuring APIs remain available and reliable for users.

REST APIs, or Representational State Transfer APIs, provide a standardized approach for applications to communicate and exchange data efficiently. However, building and managing these APIs can be time-consuming and involve repetitive tasks. This is where REST API tools help. These are software solutions designed to simplify and streamline the entire process for developers, making it more efficient to build, test, and manage REST APIs.

Data fabric is an architecture that integrates different data systems and tools. It provides unified access to data stored across various locations to organize, manage, and govern it without moving it to a central database or data warehouse or changing its format. Data fabric relies on metadata to ‘understand’ the data’s structure, lineage, and meaning across various sources. This information enables informed decision-making and optimized data usage.

An API allows communication between different systems, and like any other software, it requires clear instructions so developers can use them effectively. Clear and comprehensive API documentation helps developers understand how to use APIs in their applications. API documentation tools simplify creating detailed reference docs, tutorials, and API documentation. These tools assist in documenting REST, SOAP, or GraphQL APIs effectively. They produce comprehensive API docs that support developers.

Modern applications store a lot of data, yet databases continue to be the primary source of data that these applications need to function. This is where database APIs come in, making it easier for applications and services to retrieve and manipulate data. A database API’s biggest advantage is that it eliminates database operations’ dependence on proprietary methods and provides a unified interface, streamlining data operations. Here’s everything you need to know about database APIs.

Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms. It also establishes standards and guidelines for data handling, creating a reliable and scalable environment that supports data-driven activities.

An operational data fabric focuses explicitly on integrating and managing disparate data in the context of operational systems and processes. It’s tailored to meet the needs of operational data management, often in real time or near real time, to support business operations. Let’s break down some key features of operational data fabric: To fully appreciate the transformative power of operational data fabric, it’s important to understand how it compares to data fabric.

According to Statista, the market for legacy modernization tools might reach $36.86 billion by 2027. This growth signifies an increasing demand for modernization in organizations worldwide. However, the journey towards modernization isn’t always successful. In fact, nearly three out of four organizations fail to modernize legacy systems effectively. The best legacy modernization tools can help your organization overcome these challenges.