Proactive AI SRE for Kubernetes
UpStatus.at
Proactive AI SRE for Kubernetes
Let root causes find you first - contextual alerts from lightweight node agents.
UpStatus.at Demo: Proactive AI SRE for Kubernetes
Faster incident resolution
More critical issues detected
Continuous monitoring
Kubernetes compatibility
The Problem
Kubernetes environments are complex and when things go wrong, finding the root cause can be time-consuming and frustrating.
Alert Fatigue & Noise
Clusters generate thousands of low-level errors—critical issues get lost in the chatter.
Silent Failures & Revenue Loss
Pods might appear running and healthy while silently failing, costing your company revenue and delaying incident mitigation.
Slow Root Cause Analysis
DNS, network policies, sidecar meshes and custom CRDs all interact: pinning down the true failure point is labor-intensive.
Downtime Costs
Every minute of unplanned downtime hits revenue and customer trust.
Our Solution
UpStatus.at uses agentic AI to monitor your Kubernetes environment, detect issues, and provide actionable insights.
Agentic AI on Every Node
Continuously ingests logs, metrics & pod specs
Learns your environment over time
Identifies patterns and anomalies in real-time
AI-Powered Insights
Transforms complex logs into actionable events
Provides root cause analysis with specific remediation steps
Integrates with Kubernetes events system
Deep Contextual Insights
2025-05-01 14:23:45.672 ERROR [my-app,1] --- [nio-8080-exec-1] o.s.w.s.m.s.DefaultHandlerExceptionResolver : Resolved exception caused by Handler execution: java.net.UnknownHostException: backend-workload.default.svc.cluster.local at java.base/java.net.InetAddress.getAllByName0(InetAddress.java:1311) at java.base/java.net.InetAddress.getAllByName(InetAddress.java:1153) at java.base/java.net.InetAddress.getAllByName(InetAddress.java:1087)
Automated Event Publishing
- • Issues appear as Kubernetes events on the affected pods
- • Teams see exactly which pod, namespace, and container failed
- • Integrates with existing monitoring and alerting systems
Seamless Integration
- • Installs via Helm/Operators
- • Zero-trust compliant, RBAC-aware
- • Supports Istio, Calico, Cilium
- • Works with any Kubernetes distribution
Quick Start
Get up and running with UpStatus.at in minutes
Our lightweight Kubernetes agents can be deployed with just a few commands. Follow our quick start guide to start monitoring your clusters.
upstatus-at/quick-startCreate the namespace
kubectl create namespace upstatus-systemCreate the upstatus-system namespace first
Install with Helm
helm install upstatus ./charts/upstatus --namespace upstatus-systemInstall Upstatus in the upstatus-system namespace
Why UpStatus.at?
Our AI-powered solution provides immediate value to your organization.
Faster MTTR
Automated detection + prescriptive fixes cut mean time to resolution from hours to minutes.
Reduced Noise
AI-filtered, context-rich events mean fewer false positives and higher signal-to-noise.
Continuous Improvement
Our AI agents learn new failure patterns as your architecture evolves.
Go-to-Market & Business Model
Freemium Tier
Up to 10 nodes
Core anomaly detection & alerts
Email support (Best effort)
Enterprise Tier
Unlimited nodes
Advanced AI insights
SLA-backed support
Customization options
Dedicated Support
Team & Traction
Built by experts with deep experience in Kubernetes, SRE, and AI.
Founders
Our team brings together expertise from the worlds of SRE, Kubernetes, and AI.
10+ years in SRE
Ex-CNCF contributors
AI researchers
Pilot Results
More critical issues detected than existing monitoring in a FinTech cluster
Reduction in average incident resolution time
Get Started with UpStatus.at
Ready to transform your Kubernetes monitoring? Fill out the form below and we'll get in touch.