Operations | Monitoring | ITSM | DevOps | Cloud

How to Build Omni Model Dynamic AI Assistants using Intelligent Prompting

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.

Event Transparency: Enterprise Scale Alert Debugging with ilert's Event Explorer

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.

Home Call Survival Guide

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)

Update December 2024 - Intelligent event filters and enhanced manual alarm distribution

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.

Reducing noise: configuring alert processing with Terraform

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.

Incident Management for Software Engineers: Lessons from Production Fires

A notification "Critical: Payment processing down" is every software engineer's nightmare - a production incident that demands immediate attention. But the truth is that production incidents are inevitable. The question isn't whether they'll happen, but how well you'll respond when they do. In this article I explore the lessons I learned from real-world production fires.

Incident Management vs Incident Response: What You Must Know

In the dynamic world of IT operations and software development, downtime or service disruptions can be costly. As businesses rely more on digital infrastructure, managing and responding to incidents effectively is no longer optional—it’s a critical necessity. However, many organizations struggle to differentiate between incident response and incident management, often using the terms interchangeably.

New NOT operators for Raygun Alerting filters

This enhancement is part of Raygun’s 12 Days of Christmas 2024. Over the next few weeks, we’ll share daily updates on bug fixes and feature improvements inspired by feedback from you, our customers. These are the small but impactful changes you’ve asked for, designed to make Raygun faster and easier to use. Check back tomorrow for the next update and see how we’re leveling up your experience one day at a time!