Operations | Monitoring | ITSM | DevOps | Cloud

Runbooks are history: Why agentic AI will redefine incident response forever

If you’re an SRE, platform engineer, or on-call responder, you don’t need another article explaining incident pain. You feel it every time your phone lights up in the middle of the night. You already know the pattern: You’ve invested in runbooks, automation, observability, and “best practices,” yet incident response still feels like firefighting. Now imagine the same midnight page, but with AI SRE in place: What once took hours is now finished in a couple of minutes.

New features: AI SRE, Merge alerts, and Status pages for thousands of services

As we head into the holiday season, the ilert team is doing the opposite of slowing down; we’re ramping up. Over the past weeks, we’ve shipped a wave of impactful improvements across alerting, AI-powered automation, mobile app, and status pages. From major upgrades that reshape how teams triage incidents to smaller refinements that remove daily friction, this release is packed with updates designed to make on-call and operations smoother, smarter, and faster. Let’s dive in.

How ilert's holidays and support hours keep teams sane

The end of the year brings pressure. (Oh, we know!) Customer demand spikes, response expectations stay high, and engineering teams are juggling production issues, releases, and time off. For many teams, this is when on-call becomes chaotic: schedules break, notifications hit at the wrong time, and coverage gaps appear exactly when you can’t afford them. ‍ ilert's Holidays and Support hours features were built to fix that.

From signal to action with ilert and Ekara integration

Modern SRE and IT operations run on two truths: you must see problems the way users do, and you must respond fast. With the new ilert and Ekara integration, you can turn Ekara’s powerful synthetic and real-user insights into actionable alerts and incidents in ilert – routed to the right on-call engineer, enriched with context, and communicated to stakeholders via status pages. The result: fewer surprises, faster recoveries, and happier users.

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.