Systems | Development | Analytics | API | Testing

Discover industry benchmarks for bounce rate, average time on page, and more to optimize your website’s performance and outshine competitors.

Research has shown that 35% of companies find manual software testing to be the most time-consuming part of the software development life cycle. Because manual testing is so time consuming, test automation has been growing as a solid way to improve ROI. From reduced tester fatigue and greater productivity to a better product and faster time to market – building a robust test automation framework can add numerous benefits to your team.

Robust software testing strategies are often an act of balance between extreme approaches, and approaching episodic vs. continuous testing is no different. While convention may be committed to a single strategy as an operational criterion for many organizations, consider a combined approach with the two.

The user experience is critical – just ask Ticketmaster.

Discover how automated functional testing can save you time, and give you faster feedback, increased test coverage, and more confidence in your product.

Companies today deploy new releases constantly, some even daily. This constant deployment means regular updates are occurring or existing lines of code are being altered, which can cause problems. The slightest change of code can break the functionality of an existing code structure causing the user experience to suffer. Maintaining a visually perfect UI is important for retaining customers.

Business intelligence (BI) platforms analyze and present all your data in a visually friendly way on reports, graphs, charts, and dashboards, making it easier to view insights about your operations. But how do you get data into these platforms in the first place? The easiest way is by using BI ETL tools that extract data from its source, transform that data into the correct format, and load it into a central repository like a data warehouse — a process known as Extract, Transform, and Load (ETL).

Data practitioners should bring best practices from BI, especially automated data integration, to data science.

Smartphones have advanced greatly since their introduction in the 2000s. From faster GPUs for gaming to advanced instrumentation, these devices are now more computer than phone. Given the limitations of simulators and the complexity of real devices, they've also become a challenge for app developers to test. Biometric authentication, a fast-growing smartphone technology, introduced testing challenges.

Logs are essential to any application's development. Most Ruby logs are verbose and chunky, so digging for exactly what you need can be difficult. Even though they contain useful information, you might not get as much value as you should from logs if you don't know how to use them effectively. In this article, we'll explore: Let's get started.