Operations | Monitoring | ITSM | DevOps | Cloud

Event Flows: Deep dive into feature

Managing alert routing in complex environments is hard. When events occur, alerts must reach the right people at the right time, but traditional alert sources struggle with sophisticated, context-aware routing. Event Flows is ilert’s node-based workflow system at the heart of our alerting infrastructure. It enables intelligent event processing, time- and context-based routing, and safe automation, so teams reduce alert fatigue and accelerate incident response. ‍

Bring incident response to AI stack with ilert's MCP Server

ilert’s engineering team has developed an open Model Context Protocol (MCP) server that enables AI assistants to securely interact with your alerting and incident management workflows, from determining who is on call to creating incidents. In this article, we provide a simple explanation of MCP, outline the reasons behind our investment in it, describe the high-level architecture, and explain how to connect Claude, Cursor, and other MCP clients to ilert today.

How to manage ilert call flows via Terraform

Call flows let you design voice workflows with nodes like “Audio message,” “Support hours,” “Voicemail,” “Route call,” and much more. The ilert Terraform provider now includes a ilert_call_flow resource so you can version and promote these flows across environments. This blog post offers an overview of managing call flows in Terraform, detailing the benefits and key scenarios.

Introducing the ilert × Livewatch native integration

We’re excited to announce that ilert now offers a native integration with Livewatch, unlocking seamless incident escalation from monitoring to response. Starting today, all alerts generated by Livewatch can be automatically ingested, grouped, escalated, and managed from within ilert – closing the loop between detection and resolution.

Apica + ilert: Closing the gap between detection and resolution

ilert now offers a native integration with Apica that connects telemetry events to ilert’s alerting, on-call, and incident communication. It helps SRE, DevOps, and IT operations teams turn detection into action faster, reduce alert noise with the aid of AI, and keep stakeholders informed without unnecessary notifications.

ilert AI Voice Agent: Deep dive

‍ The ilert AI Voice Agent is designed to transform how on-call engineers handle urgent calls. Instead of waking engineers at 3 a.m. with minimal context, the AI Voice Agent collects essential details first and routes calls intelligently based on relevant, up-to-date information. ‍ The agent works hand in hand with ilert’s Call Flow Builder – a visual tool that lets users design custom call flows by connecting configurable nodes.

EU AI Act: what changes in August 2025 and how to prepare

‍ On August 2, 2025, a key part of the EU AI Act comes into force. It has serious implications for how you manage incidents related to artificial intelligence. ‍ While the full regulation will not apply until 2026, new obligations for providers of general-purpose AI (GPAI) models begin this summer. If you are building or deploying AI-powered services in Europe, the clock is ticking.

Cut alert noise with AI-powered grouping for MSPs

‍ Managed Service Providers (MSPs) and IT service providers face growing complexity in monitoring client systems – especially when multiple tools are in play. When every minor issue triggers an alert, operations teams quickly drown in noise. ‍ This article shows how ilert’s intelligent alert grouping cuts through that noise by automatically correlating related alerts from the same alert source – reducing alert volume, ticketing overhead, and response time. ‍

New features: Event flows, revamped alert view, sleek reports, and much more

As you know, we've introduced a major update in recent months – ilert Responder – the AI Agent that helps you run root cause analysis during incidents and provides recommendations toward faster resolution. That's not all, and there are way more powerful features to share with you. Feel free to reach out to us via chat or at support@ilert.com if you have questions or if you want to propose a feature or improvement.

How we built agentic incident response

‍ AI already transforms how we detect, respond to, and resolve outages. Traditional workflows often force responders to switch between dashboards, shift through logs, and coordinate across fragmented channels under stress. This reactive, manual approach leads to slower resolution, higher operational costs, and burnout, especially as IT systems grow more complex. ‍ At ilert, we are not just discussing the future of incident management – we are actively building it.