“Software is eating the world” and “APIs are eating software” have become familiar proclamations across the modern-day software industry. Given the resounding hype, interest, and substantial monetary investments happening in Artificial Intelligence (AI), a likely follow-on statement is, “AI is eating APIs, software, and everything else!”
Continuous load testing is a powerful way of preparing for surges in traffic, without needing real users. Imagine you're a software engineer working on a website that's seen a recent surge in traffic. Despite initial testing indicating that the website should be capable of handling the increased load, the website crashes during peak hours. Load Testing is the process of simulating real-world usage of a website or application. The continuous version is when you integrate it into your development process as part of a CI/CD pipeline.
You don’t need to be a data science expert to make use of platform analytics to gain better insights into your business. From Google Analytics to deep-dive data analytics for your APIs, big data is your friend when it comes to understanding your company. The right analytics platform can open up your data in a user-friendly way that empowers you to fuel better-informed business decisions based on your performance, customer data and analytics.
E-commerce businesses lose 35% of their revenue due to poor user experience, according to Amazon Web Services, or about $1.4 trillion annually. On the other hand, UX Planet found that every dollar spent on improving UX/UI will return $10 to $100 – especially for software-as-a-service (SaaS) businesses with sticky business models. Let's examine why customer experience matters and how you can leverage functional and visual testing to eliminate errors.
