In today’s digital age, data has evolved from being a mere byproduct of business processes to becoming the cornerstone of strategic decision-making. Yet, for many organizations, unlocking the full potential of their data remains a significant challenge. Traditional data analytics models often create bottlenecks, relying heavily on overextended IT departments to provide insights, which delays decision-making and limits agility.

In the previous part of this series, we discovered how to create persistent connections in Rack in theory, but now we'll put what we learned into practice. The web has two formalized specifications for communication over a persistent connection: server-sent events (SSEs) and WebSockets. WebSockets are widely used and highly popular, but SSEs are far less well-known. Let's explore them first.

When writing test automation scripts in Selenium Python, verifying that the actual outcomes match the expected results is crucial. This is where assertions come into play. Assertions help ensure that your application is working as intended by checking specific conditions and halting execution if they fail. In this blog, we’ll break down the concept of assertions in Selenium Python, provide some easy-to-follow code examples, and explain how they can make your test scripts more robust.

Web-based applications continue to be part of the modern connected experience, whether for banking, entertainment, health, or others.

The method of a company to obtain, exploit and store information or knowledge employed to make the business run profitably is known as “knowledge management”. Several small or mid-sized businesses, miserably, just wait for the big companies or market players of the industry to specify which knowledge should be preserved and how it should be managed.

Payment testing is undeniably challenging. Companies invest heavily in verifying end-to-end transaction success, but even the most skilled internal teams and sophisticated lab environments have their limits.

We are excited to introduce a new feature in Choreo that provides the ability to register and consume third-party services through connections. This feature empowers developers to seamlessly integrate external services such as Twillio, Salesforce, etc. with their Choreo applications, opening up a world of possibilities for creating more robust and versatile applications.

PostgreSQL's EXPLAIN command is a powerful tool that provides insights into how a query will be executed. It helps developers and database administrators identify potential performance issues in their queries. In this blog, we will explore what EXPLAIN is, when to use it, how to interpret its output, and techniques for optimizing queries based on the insights it provides.