In software development, load testing plays a critical role in ensuring that applications perform optimally under any imaginable load condition. To do this, developers subject applications to several types of load tests, including scalability, spike, endurance, and stress testing. The ultimate goal of these performance tests is to pinpoint potential bottlenecks and ensure the reliability of the overall system where the software application runs before reaching production.

In today's rapidly evolving business era, organizations are not merely adapting to the digital transformation journey, they are actively driving it. Moreover, the statistics surrounding the growing nature of digital transformation in businesses are nothing short of staggering and you can see it below yourself.

Sometimes, performance is the primary requirement when you are picking a third-party library to solve a task in your application. For CPU intensive work, there are often similar alternatives that you can choose from: To find out which one of them is more performant for your use-case, you can set up an experiment with microtime/hr_time calls and run them against each other. But: this provides fewer insights than running your tests directly with a Profiler such as XHProf or Tideways!

Picture a team that’s working on a new mobile banking application: This is an example of the impact Exploratory Testing can have on your testing efforts. It is a hands-on approach to software testing in which you simultaneously design and execute tests using your creativity and intuition. The purpose of this blog post is to guide you on how to effectively train your team for exploratory testing, ensuring they are well-equipped to leverage this approach for maximizing software quality.

When Facebook acquired WhatsApp in 2014, they had to integrate an enormous amount of data—450 million monthly active users generating billions of messages, photos, and videos daily—into Facebook’s systems. This data migration required precise planning and execution to ensure a smooth transition and prevent data loss while maintaining the accuracy and integrity of the information.

In the finance industry, data is the lifeblood that powers everything from daily operations to strategic decision-making. Financial institutions manage vast amounts of data, ranging from transaction records and market feeds to customer information and regulatory reports. Efficiently processing and analyzing this data is crucial for maintaining competitiveness and compliance in a fast-paced, highly regulated environment.

In today’s startup era, having a robust online presence is essential for attracting better visibility and staying ahead of the competition. Whether your startup is product-based or service-based, leveraging every opportunity to showcase your business through a company website and following a thorough mobile app development process is crucial. And, according to statistics, every 1 out of the 3 youngsters is planning a new startup idea. That’s interesting! But we can take it even further.

In the high-stakes world of business, mergers and acquisitions (M&A) represent a strategic move for companies to accelerate growth, diversify offerings, and enhance market presence. As reported by Bain & Company, the world of strategic M&A witnessed 27,000 deals announced, totaling approximately $2.4 trillion in the year 2023. M&A deals, whether they involve acquiring a competitor, entering a new market, or merging with a complementary business, reshape industries.