Intelligent automation for teams that demand more
Predictive monitoring, automated response, and full infrastructure visibility. All AI-powered, built for teams that can't afford downtime.
Integration with 20+ tools
Our products
Three platforms. One goal.
UptimeBolt
AI-first SaaS monitoring platform that groups monitors into logical business services, predicts cascade failures before they happen, and automatically identifies which deploy caused each incident — including the commit, files, and lines of code responsible.
Problem it solves: DevOps teams and SREs waste hours reacting to incidents that could have been prevented, manually searching for root causes across logs, metrics, and deploys. UptimeBolt transforms reactive monitoring into AI-driven proactive prevention. For: DevOps teams, SREs, CTOs, and technical organizations operating critical cloud infrastructure.
Dependency graph with what-if analysis that predicts chain failures, estimates downtime cost, and suggests mitigations before impact
Automatically correlates GitHub/GitLab deploys with incidents. Multi-model RCA (Claude, GPT) identifies commits, files, and corrective actions
Integrated conversational copilot and MCP server that enables Claude Code, Cursor, or any AI agent to query your infrastructure status
API Gateway
Operational
Auth Service
Operational
Database
Operational
Response Time (ms)
Anomaly detected
API latency spike predicted in 2h
Pipeline #247 — main
Yagan Ecosystem
End-to-end DevSecOps platform that unifies the complete software lifecycle: from source code to production, with security embedded at every pipeline stage.
Problem it solves: Organizations manage dozens of disconnected tools for development, security, and operations, creating friction, vulnerabilities, and slowdowns. Yagan unifies them into a cohesive ecosystem. For: development, platform, and engineering teams that need secure, standardized pipelines.
GitLab, SonarQube, ArgoCD, Crossplane, Backstage, and Keycloak integrated with SSO and automated workflows
Vulnerability scanning with SonarQube and Trivy on every commit, automatic quality gates, and continuous compliance
Declarative deployments with ArgoCD, infrastructure provisioning with Crossplane, and self-service portal with Backstage
KubeBolt
AI operations platform for Kubernetes. Kobi, its AI SRE, works in two modes: Copilot fixes the incident with your click, Autopilot fixes it alone in under 90 seconds and rolls the change back if it fails verification. The agent dials out from your cluster, so your API server is never exposed. Open source under Apache 2.0, with KubeBolt Cloud and a Free plan available.
Problem it solves: A dashboard tells you something broke, but the slow work starts after that: investigating, correlating, and fixing — often at 3am. KubeBolt closes the full loop (detect, diagnose, remediate, verify, and document) with deterministic guardrails and an audit trail on every action. For: platform teams, SREs, and developers running Kubernetes in production, with or without an on-call rotation.
Press ⌘J and describe what's failing. Kobi queries your live cluster with 17 read tools and 9 action tools, proposes the exact command, and runs it on your click with RBAC and audit logging. Also available via MCP in Cursor and Claude Code
In open beta: detects, investigates, remediates, and writes the postmortem on its own in under 90 seconds. It only applies actions from a closed catalog and reverts to the previous state if verification fails. Built on the Claude Agent SDK
The agent dials out, nothing dials in: your API server stays private, no VPN or bastion. 30+ live resource views, terminal and port-forward, a 24-rule Insights Engine with zero config, a security panel (Trivy, Falco, CIS, Kyverno), and cost data via OpenCost
Pods
85/85
Clusters
3/3
Services
42
Cluster Resources
Insights Engine · 24 rules
Continuous evaluation with zero config — no PromQL
Technology
Built for teams that refuse to settle
Every feature designed with a purpose: eliminate friction and amplify impact
Cascade failure prediction
Models your infrastructure's real topology as a dependency graph. When a component degrades, UptimeBolt calculates the blast radius, estimates downtime cost, and suggests mitigations — before the cascade occurs.
- What-if analysis: simulate failures before they happen
- Automatic downtime cost estimation
- Health Score 0-100 per business service
Deploy Correlation Engine + RCA 2.0
When an incident occurs, UptimeBolt automatically correlates recent GitHub and GitLab deploys to identify the responsible commit. RCA 2.0 analyzes with multi-tier models (Claude Sonnet, GPT-5) and generates immediate, short-term, and long-term corrective actions.
- Identifies suspicious commits, files, and lines
- Weighted scoring: proximity, service, history
- Knowledge base that learns from every applied fix
Unified DevSecOps ecosystem
Yagán integrates 6 leading open-source platforms under a single SSO with Keycloak. Teams access code, pipelines, security, deployments, and infrastructure from one portal — eliminating the friction of managing disconnected tools.
- One login for GitLab, SonarQube, ArgoCD, and more
- Backstage portal as single entry point
- Declarative infrastructure with Crossplane
GitLab
Source & CI/CD
SonarQube
Code Quality
ArgoCD
GitOps Deploy
Backstage
Dev Portal
Crossplane
Infra as Code
Keycloak
SSO / IAM
Operate your whole cluster without opening it
KubeBolt flips the direction of the connection: the agent dials out from your cluster to the control plane, never the other way around. Your API server stays private — it works on private EKS and GKE, behind a bastion, or air-gapped, with no VPN. And over that same channel you don't just look: terminal into any pod, multi-pod logs, port-forward, resource editing, and your entire fleet in a single panel.
- The agent dials out, nothing dials in: private API server, no VPN
- 30+ live resource views · reads your existing Prometheus
- Terminal, logs, port-forward, and multi-cluster from the browser
AI Copilot & MCP Server
Ask your infrastructure in natural language. The integrated Copilot uses tool-calling with real-time data to answer questions like "is it safe to deploy now?". The MCP server lets Claude Code, Cursor, or any AI agent query and reason about your systems' state.
- Conversational copilot with your infra context
- MCP Server compatible with Claude Code and Cursor
- "Is it safe to deploy?" with data-backed answers
Is it safe to deploy to E-Commerce Platform?
NOT recommended. 7 active critical predictions at 85% confidence. Rising latency over the last 45 min.
03:14 · CrashLoopBackOff — prod/payments-api (7 retries)
Resolved in 87s. Root cause: the last rollout dropped the memory limit to 512Mi and the process starts at 780Mi. Config reverted to the previous revision and verified. Nobody had to wake up.
Kobi Autopilot: the incident resolves itself
It's 3am and a pod enters CrashLoopBackOff. Autopilot flags the pattern with deterministic rules, investigates the root cause by correlating events, logs, and deploys, applies a fix from a closed catalog, and verifies the result. If it doesn't verify, it automatically reverts to the previous state. Under 90 seconds from capturing the incident to the written postmortem. You set the policy — you can start in suggest-only mode.
- Open beta · under 90s from alert to postmortem
- Closed action catalog, cluster RBAC, and a full audit trail
- Auto-rollback if verification fails · destructive actions need your sign-off
Success stories
Results that speak for themselves
FinTech Corp · Financial Services
“UptimeBolt enabled us to meet our 99.99% SLA for the first time in company history.”
Carolina Méndez
VP of Engineering
MTTR reduction
45min → 5min
LogiTrack · Logistics
saved per month
Consolidated GitLab, SonarQube, ArgoCD, and Backstage into a single platform. Infrastructure tickets dropped by 75%.
“Our 40-developer team now operates like a 60-person team thanks to Yagán's automation.”
Andrés Rivas, CTO
Yagán EcosystemCLM Cloud Solutions · our own cluster
of autonomous operation every night
KubeBolt runs on our own Yagán cluster on EKS. From 20:00 to 07:00 Kobi Autopilot operates with nobody watching and has already resolved overnight incidents, from alert to written postmortem in under 90 seconds. The rest of the day we support it with Copilot, the action one click away.
“We run it ourselves before anyone else does. Autopilot covers the whole night window on our own cluster, and in the morning what's waiting is the postmortem, not the open incident.”
Leafar Maina, founder
KubeBoltMedCloud · Digital Health
faster deployments
Integrated all three platforms for predictive monitoring, secure pipelines, and full Kubernetes visibility in production.
“The combination of predictive monitoring, automated DevSecOps, and K8s visibility gave us a real competitive edge.”
Valentina Torres, Lead DevSecOps
Full stackTestimonials
Trusted by those who live it every day
Engineering teams across Latin America that transformed their operations
“UptimeBolt transformed our operations. We went from reacting to incidents to preventing them. AI prediction detected a production failure 4 hours before it would have impacted users. The ROI was immediate.”
“With Yagán we consolidated 7 tools into one platform. New developer onboarding went from 2 weeks to 2 days.”
“Automatic RCA with AI reduced our MTTR from 45 minutes to under 3. It pays for itself in the first week.”
“Security integration in the CI/CD pipeline saved us countless hours. SonarQube + GitLab unified in Yagán caught critical vulnerabilities we had overlooked. Now we deploy with total confidence.”
“Integration with our existing stack was surprisingly simple. Within 48 hours we had predictive monitoring up and running.”