Operations
We built a system that watches everything, tells you what matters, and explains what to do about it.
You pay for cloud infrastructure, security tools, monitoring services, and the people who manage them. You approve the invoices every month. But if someone asked you right now — “is everything working?” — you’d have to ask someone else. And they’d probably have to check three different dashboards to answer.
The problem is not that you lack tools. The problem is that those tools were designed for engineers, not for the person writing the checks. They generate thousands of alerts. Most are noise. The important ones get buried. And when something actually goes wrong, you find out from a customer — not from the system you’re paying to prevent exactly that.
Meanwhile, the knowledge of “what to worry about” lives in the heads of one or two people. When they’re on vacation, in meetings, or gone — nobody is watching. That’s not a technology problem. It’s a business risk. And it’s one most organizations accept without realizing how much it’s costing them.
What you need is not more dashboards. You need one system that watches everything, filters out the noise, connects the dots, and tells you — in plain language — what needs your attention and what to do about it. Fewer alerts. Higher quality. Problems caught before anyone notices.
Six capabilities. Twelve signals. Always evaluating.
Know when something suspicious happens. Unusual logins, unauthorized access attempts, new applications connecting to your systems — caught and flagged before they become incidents.
Know what you’re spending and why. Daily budget tracking across every service. If something starts costing more than it should, you find out today — not on next month’s invoice.
Know whether your systems are healthy, struggling, or about to have a problem. The system tracks trends over time, so it catches issues that are building slowly — not just things that break suddenly.
Not every problem is equally urgent. The system ranks alerts by actual business impact, so you see what matters first. The noise gets filtered out. What reaches you has been vetted.
One anomaly is informational. Three related anomalies at the same time is a problem. The system connects the dots across your entire environment — catching patterns that no single tool would see on its own.
Everything updates in real time. No waiting for a report. No refreshing a page. When something changes in your environment, the dashboard reflects it within seconds.
12 Signals
The dashboard evaluates twelve distinct signals in parallel — security, cost, infrastructure, and compliance — and presents them in a single attention-weighted interface. Each signal has its own evaluation engine, historical baseline, and anomaly threshold. Green means green. Yellow means investigate. Red means act. No noise. No interpretation required.
March 31, 2026 — 2:47 PM
Attention Architecture
Every alert is scored before it reaches you. Business impact, correlation with concurrent signals, time-of-day relevance, and historical false-positive rate all factor into whether you see a notification, a warning, or a page. The system's goal is fewer interruptions with higher signal quality — and it measures its own performance weekly to ensure that's what you're getting.
When It Matters
When an alert fires, the system creates an incident timeline automatically. Every correlated signal, every state change, every action taken — captured in sequence. Post-incident reviews take minutes instead of days because the narrative is already written. The system doesn't just detect problems. It documents them.
Not every signal deserves the same response. The system categorizes every evaluation into four tiers — so you see what matters at the urgency it deserves.
Production down, security breach detected, or cost anomaly exceeding 3x threshold. Immediate page. Auto-escalation if not acknowledged within 5 minutes.
Trending metric approaching threshold, new OAuth grant, or cost pattern deviating from baseline. Dashboard notification. Daily digest inclusion.
Normal variance, successful deployments, routine maintenance. Logged for correlation. Never surfaced unless part of a larger pattern.
Known patterns: rolling deploys, scheduled batch jobs, test environment noise. Automatically filtered. Reviewable but silent.
The old way
With Iridis
12
Things being watched at all times
91%
Fewer false alarms than conventional monitoring
<10s
From problem to your screen
Your monitoring tools generate data. This system generates understanding. The difference is whether you find out about a problem before it matters — or after.
30-minute discovery call · No pitch deck