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.

As our customer base and data demands grew exponentially over the years, scaling our database infrastructure became imperative. Our vision was to set up an active-active database architecture that would ensure regional independence and exceptional service quality globally. Here’s an in-depth look at how our team managed to migrate our production data to AWS RDS Aurora, incorporating cutting-edge strategies to minimize impact during the transitional phase.

We’re thrilled to announce that we’ve integrated with Netdata, a popular open-source monitoring solution, to give you more visibility and control over your systems. This powerful combination enhances your ability to monitor, detect, and respond to system alerts in real time.

In this quarterly product update, you’ll discover how to customize ilert dashboards to fit your team’s needs, find advanced filters for building complex alert actions, and reduce costs as an MSP using ilert status pages.

The Industrial Internet of Things (IIoT) industry is experiencing rapid growth and transformation, driven by advancements in connectivity, data analytics, and automation technologies. The number of connected devices and sensors is constantly growing and is expected to be around 18.8 billion by the end of 2024. More and more manufacturers rely on automation every day. ‍

ilert offers over 100 out-of-the-box integrations commonly used in IT operations. From monitoring and observability platforms to ITSM solutions, chat and collaboration apps, fleet management, and IoT tools—these and many others are used daily by engineers worldwide to achieve operational excellence. However, there are also tools outside the developer's usual scope that can prove helpful during incidents.

Postmortem reports are essential in incident management, helping teams learn from past mistakes and prevent future issues. Traditionally, creating these reports was a slow, tedious process, requiring teams to gather data from multiple sources and piece together what happened. But with AI and Large Language Models (LLMs), this process can become faster, smarter, and much less of a headache.

In an ideal world, every alert would signal a unique and critical issue. However, in reality, alerts often come in waves. Alert noise refers to the overwhelming volume of notifications that incident response teams receive, many of which may be redundant or irrelevant. This can lead to alert fatigue, where critical issues might be overlooked due to the sheer number of notifications. ‍

Welcome to our detailed guide, which will help you incorporate your current ilert configurations for incident management into Terraform. Here, you will find a step-by-step tutorial to import your existing ilert resources to the Infrastructure as Code project and recommendations from our engineering team on best practices to maintain consistency across your infrastructure and incident management processes.