Systems | Development | Analytics | API | Testing

Imagine, you are developing Java software and suddenly you encounter errors. Where could have possibly gone wrong? There are many types of errors that you will encounter while developing Java software, but most are avoidable. If you have an error monitoring tool such as Stackify Retrace, you can write code with ease. In this article you will find: Read on to learn about the most common issues and their workarounds.

Log4j2 is the updated version of the popular and influential log4j library, used extensively throughout the Java ecosystem for so many years. Version 2.x keeps all the logging features of its predecessor and builds on that foundation with some significant improvements, especially in the area of performance. And of course, given how instrumental logging is for any application, both for audit and debugging purposes, choosing a solid logging library is quite an important decision.

The thrill of seeing your user base skyrocket will only last until your server crashes! In this article, Giridhar Talla discusses several strategies to make your Node.js applications ready to handle high traffic volumes.

In the age of climate consciousness, industries worldwide are grappling with the urgent need to reduce their carbon footprints. One industry that has come under increased scrutiny is telecommunications, where Scope 3 emissions, or the indirect emissions that occur in a company’s value chain that the company has no direct control over, alone account for a staggering 85% of a typical telecom company’s carbon footprint.

In this fast-paced era of artificial intelligence (AI), the need for data is multiplying. The demand for faster data life cycles has skyrocketed, thanks to AI’s insatiable appetite for knowledge. According to a recent McKinsey survey, 75% expect generative AI (GenAI) to “cause significant or disruptive change in the nature of their industry’s competition in the next three years.” Next-gen AI craves unstructured, streaming, industry-specific data.

Embedded analytics is a game-changer for software teams developing web-based applications. It seamlessly integrates data insights into existing workflows, boosting user engagement, and enabling real-time decision-making. With enhanced security, customization, scalability, and user empowerment, embedded analytics is a true path forward for analytics teams seeking to thrive in today’s data-driven business landscape.

Streamlining operations is critical for ensuring an efficient workflow. Having well-optimized processes enables seamless access and management of extensive data sets, fostering productivity and effectiveness. Transferring files over Secure File Transfer Protocol (SFTP) can be difficult, costly, and time-consuming if not properly managed. To enable faster turnaround times and optimize cost savings for your organization, automating SFTP transfers should be part of your operations strategy.