Systems | Development | Analytics | API | Testing

With major events like Black Friday, Cyber Monday, Christmas and New Year right upon us, it brings a plethora of opportunities for e-commerce businesses to significantly increase their sales. However, with this opportunity, there is also a greater concern that arises in the form of “whether your website can handle that outburst of traffic or not!”.

Did you know that 70% of mobile app users will abandon an app if it takes too long to load, while 57% will consider switching to a competitor after just 3-4 negative interactions with a company’s website or mobile app?

In the dynamic world of software development, ensuring that applications remain stable and functional as they evolve is crucial. This is where regression testing plays a vital role, especially when employing powerful test automation tools like Playwright. For software developers and QA professionals, creating a detailed test plan for regression testing using Playwright can significantly enhance the efficiency and reliability of testing processes.

The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.

When building applications with Docker Compose, it's common to encounter duplicate configurations across services, especially as projects grow and configurations become more complex. The benefits of using aliases in Docker Compose are crucial in this scenario. Docker Compose aliases provide a way to streamline this setup, reduce redundancy, and simplify logging configuration.

Imagine having a powerful tool that revolutionizes how you communicate and do business with your customers. That’s precisely what Customer Relationship Management, or CRM, offers. It’s a category of software solutions combining data-driven technology to enhance customer interactions and improve business performance.

Design, speed, and simplicity are the winning flavors for any mobile banking app. By possessing these characteristics, the fintech app can entice any smartphone enthusiast, the number of whom is steadily increasing. The industry’s major players recognize that the pervasiveness of mobile phones in our lives must be used as a tool to win loyal users for FinTech businesses.

ClickHouse is a high-performance, columnar database designed for analytics and big data applications. One of ClickHouse's standout features is its ability to perform filtering directly on compressed data, enabling faster results compared to traditional relational databases. While working with ClickHouse, you will often encounter the WHERE and PREWHERE clauses, both of which are used to filter data. But what is the difference between WHERE and PREWHERE, and when should you use one over the other?

“Quality is more important than quantity. One home run is much better than two doubles.” – Steve Jobs In the world of software testing, this quote couldn’t be more relevant. If you’re a manual tester, you know the pressure to deliver high-quality results, often within tight deadlines and limited resources. Yet, with today’s fast-paced software development cycles, meeting these demands through manual testing alone is increasingly challenging.

As data analysts navigate the evolving landscape of data integration, finding the right platform to streamline workflows and optimize processes is critical. Among the many tools available, Workato and Integrate.io have emerged as leading solutions for connecting applications, automating workflows, and managing complex data pipelines.