Data center operators manage thousands of alerts daily across cooling, power, networking and compute infrastructure. When something fails, teams scramble between disconnected dashboards, ticketing systems and command line tools. The average data center incident takes over two hours to resolve, and a single outage can cost upwards of $9,000 per minute. A branded operator portal that unifies monitoring, alerting and remediation in one interface cuts that delay and gives every operator real-time visibility across the systems they are responsible for.
Modern data centers run dozens of monitoring and management tools at the same time. Operators check temperature sensors in one dashboard, network health in another and server logs in a third. When an incident occurs, they piece together context from five or six sources before they can even diagnose the problem. That fragmentation drives up mean time to resolution, increases human error during stressful incidents, and makes it nearly impossible to keep response procedures consistent across shifts.
A typical NOC team handles thousands of alarms per day, and most of them are noise. Without intelligent filtering, operators develop alert fatigue and start missing the critical signals. Teams that try to build a custom operator portal on their own face months of development work, complex integrations with legacy systems, and ongoing maintenance that pulls engineers away from core infrastructure projects.
Shakudo builds the branded operator portal that consolidates monitoring, incident response and infrastructure control into a single interface. The portal pulls telemetry from the monitoring systems the company already runs, applies AI-driven anomaly detection to filter out the noise, and presents operators with prioritized actions instead of a raw alert stream. Incident response workflows escalate, notify and remediate common issues automatically, so a known failure pattern does not need a human in the loop to start resolving.
The outcome is a production-ready operator application in under thirty minutes instead of months, built on the company's own monitoring stack. AI-driven monitoring reduces alert volume by up to 94 percent by filtering duplicates and correlating related alarms, and mean time to resolution drops by 87 percent or more when operators see contextual information and automated remediation paths in the same interface where they see the alert.
The result is measurable. A data center company that deployed the portal reduced average incident resolution time by over 60 percent in the first month and cut false escalations by nearly half. The branded interface also improved onboarding, with new team members reaching full productivity in days instead of weeks because every procedure and dashboard lives in one place.
OpenAI provides the language model that performs alert correlation, root cause analysis and remediation suggestions. Prometheus is the metrics source that feeds the telemetry into the portal, and Supabase provides the structured storage and API layer behind the dashboards, workflow state and the audit trail.
The portal fits the operators where alert volume and tool fragmentation make manual response a measurable cost: the NOC team in a data center or colocation company that juggles cooling, power, network and compute alerts, the facilities team that tracks thermal and power events across racks, and the security team that needs a single view of infrastructure events. It is built for companies where the monitoring stack already exists and the missing layer is a unified, branded interface with automated response on top.
A custom operator portal with real-time monitoring, incident response workflows and a branded UI can be built in under thirty minutes using low-code tools. The portal connects to existing monitoring systems through standard APIs, so no rip and replace of the current infrastructure is required.
Yes. The portal connects to existing DCIM, SNMP and log management systems through standard APIs and webhooks. Telemetry from power, cooling, network and compute systems all feed into the unified interface without replacing the underlying monitoring infrastructure.
AI correlates related alerts across systems, filters duplicate alarms and identifies root causes faster than manual investigation. Operators see prioritized incidents with contextual data instead of a raw alert stream, and automated remediation handles common issues, reducing mean time to resolution by up to 87 percent.
Yes. Each team can configure dashboards, alert thresholds, escalation rules and remediation workflows for its own responsibilities. Network operations, facilities and security teams each get views tailored to their systems while sharing the same underlying data and incident history.
When the goal is NOC operations that respond in minutes with a complete audit trail, a conversation with Shakudo is the fastest way to see it on your own data. The portal builds on your own infrastructure, on-prem or in your cloud, with a first working operator app in place within days. Book a demo to try it.
AI-powered operator apps centralize data center monitoring, incident response, and infrastructure control into a single branded portal. The solution replaces fragmented NOC tools with a unified interface that reduces mean time to resolution and gives operators real-time visibility across every system.
"What drew me in is simple. When developers ship production-ready code this quickly, how can I have environments spun up fast enough? Shakudo is how we close that gap."
"Shakudo does not just provide the platform. It is a real partnership. They are always there to help and execute our vision faster and the right way. It is like a co-team working together to achieve our goals."
