Operations | Monitoring | ITSM | DevOps | Cloud

When your team shares one support number, someone has to decide who gets the calls when customers need help after hours. And if your team rotates on-call responsibilities weekly, which is common in IT (SRE, DevOps, ITOps, etc), clinical and field engineering teams, you’ve probably relied on manual call forwarding at some point. On paper, it seems straightforward: update the forwarding number each week to point to the person who’s on call. In practice? It often turns into a scramble.

When AT&T officially shut down its email-to-text and text-to-email service on June 17, 2025, a quiet but essential part of many organizations’ communication workflows disappeared overnight. Messages that used to be sent to addresses like simply stopped delivering. For teams who relied on those alerts to reach the on-call clinician, engineer, technician, or service lead — this created an unexpected and urgent gap. This wasn’t just a convenience feature going away.

When teams manage a high volume of alerts, it’s easy for things to start blending together. A system outage, a temperature warning, a network slowdown – without a way to quickly identify what’s what, it takes longer to triage and prioritize. Especially on mobile, scrolling through a list of similar-looking alerts can slow your response and add confusion during incidents.

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. ‍

Artificial Intelligence has become the sharpest tool in the digital arsenal – detecting anomalies, predicting failures, and uncovering risks before they unfold. Yet even the smartest system can’t roll up its sleeves and fix what’s broken. AI can see the problem. But only people can solve it. That’s the critical gap in today’s automation revolution: turning AI’s insight into human action.

When alerts come in hot and fast, alert fatigue can quickly set in, overwhelming you with the volume and becoming one of the biggest operational problems for MSPs. Not knowing what to handle first and prioritize in a long list of alerts puts a strain on one of the most valuable resources you have: focus. When your technicians are constantly switching contexts and sifting through a flood of low-priority alerts, it’s asking a lot of them to stay sharp. That constant mental juggling takes a toll.

Secure and seamless communication is at the heart of effective patient care. Whether coordinating handoffs, requesting consults, activating code teams, or managing after-hours coverage, clinicians rely on messaging systems that are reliable, fast, and built to protect patient data.

Building and shipping an application is exciting, you watch your idea come alive and reach users. But once it’s out there, your real job begins: keeping it alive. An app in production isn’t just code running, it’s a living system. It needs monitoring to stay healthy and alerting to warn when something’s off. But there’s a catch: too few alerts, and you’ll miss real issues; too many, and you’ll drown in noise.