Operations | Monitoring | ITSM | DevOps | Cloud

In Part 1, we talked about all the hidden complexity inside AI systems: the pipelines, GPUs, embeddings, vector databases, orchestration layers, and everything else that quietly determines how reliable an AI-first product really is. But all of that software still rests on something far less glamorous: the physical infrastructure underneath it.

“We’ve got a new alert – have you seen it yet?”“Which one? The CPU spike or the unusual login?”“The login. Same region as yesterday. But the CPU thing looks suspicious too.”“…Alright, I’ll check the firewall logs. You take the containers.”“Perfect. Let’s hope this doesn’t turn into another all-hands situation.” Does this conversation sound familiar?

Monitoring starts with data, but action depends on timely alerts. When an alerting workflow relies on scheduled queries or external checks, engineers miss short windows where values shift and conditions form. The alerting plugin closes that gap by evaluating alert rules inside InfluxDB 3 as new values arrive, enabling faster detection and more responsive monitoring.

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.

Our newest SIGNL4 release brings a set of practical improvements designed to make everyday operations easier and more reliable. These updates focus on helping teams plan better, react faster, and get more out of the Mobile App – without adding complexity.

Modern security operations are overflowing with data, and organizations rely heavily on Azure Sentinel alerts and Microsoft Sentinel alerts to maintain visibility across hybrid environments. From firewalls and endpoints to cloud workloads and identity systems, thousands of signals compete for attention every second. For most security teams, the challenge isn’t detection anymore – it’s action.

If you’ve ever muted your phone during a maintenance window, only to miss a real outage an hour later, you’re not alone. Sysadmins on Reddit and beyond often describe feeling like they’re drowning in alerts: So many notifications that the important ones lose their meaning. This is alert fatigue, sometimes called notification fatigue or incident noise, and it’s one of the most common challenges in modern, growing IT operations.

As organizations continue to adopt OnPage across regions and operational environments, providing an experience that feels natural and intuitive for every user has become increasingly important. Clear communication is essential in time-sensitive workflows, and being able to use the app in one’s preferred language supports clarity, confidence, and consistency. To support our growing global user base, OnPage is introducing multi-language localization across its mobile applications.