After releasing our first version of the ilert dashboard as a static layout, we knew we wanted to take it further by allowing users to customize and arrange widgets freely. We aimed to provide a truly interactive experience, which led us to search for a library that could handle drag-and-drop and resizing functionalities while integrating well with our existing tech stack.

I joined ilert as a student front-end software developer. Before, I was mainly writing iOS apps. Even though I already had some experience with web technologies, diving deep into front-end development was a huge step. Both developing iOS apps and web apps share the same kinds of tasks, such as developing the user interface (UI) and writing app logic. However, the actual development environments are completely different.

ClusterControl by Several9s is one more great partner introduced among ilert integrations for DevOps teams. In this article, learn more about ClusterControl functionality and the benefits of ilert integration.

Read how we set up an experimental chatbot environment that allows us to switch LLMs dynamically and enhances the predictability of AI-assisted features' behavior within the ilert platform. The article includes a guide on how you can build something similar if you plan to add AI features with a chatbot interface to your product.

Building an AI proxy for our AI features was one of the best decisions we made a year ago. In this article, we will share why and what challenges we faced.