Operations | Monitoring | ITSM | DevOps | Cloud

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.

We are excited to add one more integration from the Industrial Internet of Things realm to our catalog! The seamless integration between ilert and Ubidots aims to streamline your operations, reduce machines' downtime, and improve overall efficiency.

You might have noticed that we released a series of AI-supported features last year. Intelligent alert grouping, developed to reduce alert fatigue, is the icing on the cake. ‍ With it, we combined all ilert AI features in a new powerful add-on that aims to reduce stress and give more clarity during IT incidents.

You might be surprised. Why does ilert, the platform dedicated to alerting and incident management, publish anything about the direct (in the sense of bypassing an incident management tool) connection between monitoring solutions and Twilio? Do they take the bread out their own month? —You might think. Working on DevOps incident management since 2009, we believe every solution fits specific needs.

ilert users can now seamlessly connect ilert with HetrixTools' monitoring capabilities. This streamlined integration ensures smooth IT operations with minimal downtime and faster issue resolution.

Regardless of industry specifications, creating and maintaining a highly functional incident management process is crucial for organizations of all sizes. The various potential applications of Generative AI in this process can significantly enhance the efficiency, accuracy, and speed of incident detection, analysis, and resolution. GenAI can be utilized across all stages of the incident management process, including preparation, response, communication, and learning.

According to the Uptime Institute, during the last year, the number of IT incidents slowly declined while the average cost of every incident grew. As dependency on digital services increases, the cost for ⅔ of all outages exceeds $100,000. Stakes are rising, and more and more companies are investing in proactive incident management.

In DevOps and IT operations, conducting a thorough postmortem after an incident is crucial for continuous improvement. This article explores best practices for creating effective postmortems, ensuring that your incident analysis won't be forgotten as soon as the danger has passed but will be comprehensive and actionable.

‍ AI has revolutionized various aspects of incident response, from preparation to resolution. Across the incident response lifecycle, AI is being leveraged to streamline processes, reduce noise, and improve overall efficiency. One critical area where AI is making a significant impact is in incident communication. Effective and efficient communication is crucial during incidents, as it ensures that stakeholders are informed and aligned with the incident status and resolution efforts.