Operations | Monitoring | ITSM | DevOps | Cloud

This September, we hosted a few of our customers at the ilert headquarters in Cologne. The plan was to share where we're heading, have real-life conversations, and give them more room to ask us questions and share their thoughts. ‍ One part of the day was a discussion about on-call culture with some of the greatest minds in SRE (source: they chose ilert as their incident management tool). We asked our customers: what are your top practices for on-call?

ilert AI SRE is now generally available. Alongside it, this quarter brings Compass, a lifecycle assistant that surfaces the next move during an incident, a dedicated space for postmortems, rich incident cards in Microsoft Teams and Google Chat, on-call schedules that follow support hours and holidays, a new CLI, and dark mode. Here's everything that shipped.

Database alerts from DBmarlin can now go straight to ilert. When an alert rule fires on slow queries or an overloaded database host, ilert pages whoever is on call, escalates if they don't respond, and hands them a link back into DBmarlin, where the diagnosis lives.

On July 27, 2026, the Digital Omnibus on AI, Regulation (EU) 2026/1744, entered into force and rewrote the EU AI Act's timeline. The high-risk obligations that were due to apply on August 2, 2026, including Article 73 serious-incident reporting, now apply from December 2, 2027 for standalone high-risk systems (Annex III) and August 2, 2028 for AI embedded in regulated products (Annex I). Not everything moved.

Bleemeo monitoring now connects natively to ilert, linking threshold detection to on-call management and alerting. DevOps, SRE, and IT operations teams get a direct path from a breached threshold to the phone of the engineer who can fix it, and back to a clean slate once the problem is gone.

When you get paged at 3am, it takes about 30 seconds for the notification to reach you and maybe two minutes until you're in front of a laptop, awake enough to read. What you see then is usually a raw alert. A metric name, a threshold, a link to a dashboard. Then the ritual starts: open the dashboard, check what deployed in the last few hours, grep the logs for the first error, ask in Slack whether anyone touched the database. ‍ Most of that time is search.

‍For years, ilert has given our customers extensive analytics across their alerts, notifications, and on-call activity, a comprehensive overview of how their teams and services respond to incidents. These capabilities were backed by a separate analytical database running on Google BigQuery. It held the numbers behind every reporting dashboard in ilert, and for a long stretch it was perfectly fine. Then three problems grew too big to ignore.

Not all alerts are created equal. Some are resolved quickly by the on-call engineer. Others signal something serious enough to affect your business and require your whole team to coordinate. That is why we redesigned incidents as a dedicated coordination workspace for the alerts that have the most business impact.‍ Until now, incidents in ilert were used to communicate status updates to customers and stakeholders. Creating one meant publishing to your status page. We have separated the two.

From a redesigned navigation and the new ilert Marketplace to dynamic service mapping and on-prem alert delivery, here's everything that's shipped across this quarter.

It’s 2:47 a.m. A P1 alert fires. The on-call engineer opens ilert, sees the AI has already investigated, and is presented with three remediation options. What happens next is the moment we obsessed over. ‍ Most AI tooling at that moment hands the engineer a numbered list in a chat window and waits. The engineer reads, selects mentally, types a reply, and the agent resumes.