In today’s fast-paced world, app performance equals brand reputation. Customers expect apps that are fast, responsive and available 24/7. That’s where Application Performance Monitoring (APM) comes in. The technology enables businesses to ensure the best possible user experience by monitoring and managing the performance of their applications. But as applications become increasingly complex, identifying and resolving performance issues in real-time becomes increasingly difficult.

The COVID-19 pandemic has upended varied operations, sectors, and industries, with customer support being no exception. According to a survey consisting of AI analysis of more than 1 million customer service calls by the Harvard Business Review, customer service is among the hardest-hit company functions by the COVID-19 pandemic. Hardly surprising.

A mock server can prove useful in many circumstances. Imagine you’re an engineer working on optimizing a feature inside of an existing API that relies on multiple other microservices to function properly. To fully test the optimizations, you’ll have to set up test versions of all the dependencies, which quickly proves to be quite a task in and of itself. This is where a mocks—a server that simulates the behavior of a real server—can be very beneficial.

Nowadays, when most people think about the term “machine learning,” they think of advanced, refined applications such as Chat-GPT, the chatbot-based deep learning text generator, or AlphaGo, the computer program that’s currently the “world's best player” of the board game Go.