Operations | Monitoring | ITSM | DevOps | Cloud

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.

Machine learning affects nearly every aspect of our daily lives. To understand how this technology works and how you can use machine learning, it’s necessary to know the difference between unsupervised and supervised machine learning. The following are essential points regarding the different aspects of unsupervised and supervised machine learning.

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.

The Bleemeo Community Edition is the Open Source and self hosted version of the Bleemeo monitoring solution. It is composed of three main components: And some third party components: In this article, we will show you how to install and configure these components to have a fully working monitoring infrastructure.

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.