Operations | Monitoring | ITSM | DevOps | Cloud

Every IT environment relies on multiple monitoring tools to ensure smooth and uninterrupted operations across various systems—network, databases, servers, applications, and more. These tools constantly scan for any performance anomalies to keep everything running smooth. However, when there’s a spike in performance metrics—such as CPU usage, network traffic, or database activity—each of these monitoring tools triggers its own alert for what might be the same underlying issue.

My name is Tim Gühnemann, and as an AI engineering working student at ilert, I had the privilege of developing and continuous improving ilert AI, ensuring it meets the needs of our customers and aligns with our vision. ‍ Our goal was to provide all our customers with access to ilert AI. We aimed to develop a solution that could adapt dynamically and function independently based on our use cases, similar to the OpenAI Assistant API.

At ilert, one of the key tools in our debugging process is the Event Explorer, which provides an extensive overview of incoming events and their processing lifecycle. By reflecting the event process of an alert source, the Event Explorer allows our team to trace event paths, correlate related data, and identify issues quickly.

We are excited to announce a native integration between ilert and Honeybadger.

Whether it’s your first or hundredth home call shift, preparing yourself both physically and mentally is crucial. These shifts can be unpredictable, demanding, and emotionally taxing, making it essential to prioritize your well being while maintaining your readiness to provide the best possible patient care. By adopting effective time management, organization, and healthy strategies, you can confidently navigate the unique challenges of home call shifts. Key Takeaways (TL;DR)

In our December update, we have significantly revamped and improved manual alerting. If you need to carefully evaluate incidents before distributing them manually to the respective teams or want to send critical operational updates to relevant personnel, you’ll love the new features we’ve introduced! Additionally, we’ve added intelligent filtering options for automatically incoming events.

With increasing numbers of alerts, keeping focus on the important and most critical alerts proves to be more and more of a challenge. A reduction of alert noise, meaning the prevention of too many created alerts and any kind of user notifications, is needed to ensure efficient alert response. While a detailed explanation of this topic is given in this blog post, a flexible and automated setup for your relevant resources can be achieved with Terraform using the ilert Terraform provider.