AI-Driven DevOps That
Never Sleeps

Focus on innovation while we handle the heavy lifting. Built by DevOps experts, our AI-powered platform delivers 24/7 monitoring, automated troubleshooting, and seamless cloud integration.

Limited spots
Early access
Priority support
AWS
Google Cloud
Azure
Kubernetes

Built from Real Experience

Combining years of DevOps consulting and AI development expertise into a powerful automation tool.

DevOps Consulting4+ years

Building and optimizing infrastructure for startups and enterprises, focusing on cloud-native solutions.

AI Systems Architecture3+ years

Designing and implementing AI-powered automation systems for infrastructure management.

Internal Tools Development4+ years

Creating custom DevOps tools and automation solutions for specific infrastructure challenges.

See It in Action

Watch how DayOps handles real infrastructure challenges

Kubernetes Troubleshooting

Coming soon: Watch DayOps diagnose and fix a complex Kubernetes networking issue in real-time.

Infrastructure Scaling

Coming soon: See how our AI handles automatic resource scaling and optimization.

Security Compliance

Coming soon: Demonstration of automated security scanning and remediation.

Change Management

Coming soon: Watch a complex infrastructure change being automatically planned and executed.

Multi-Agent AI Architecture

Our system utilizes specialized AI agents working in parallel to monitor, analyze, and maintain your infrastructure with unprecedented efficiency.

Observer Agent

Continuously monitors infrastructure, logs, and metrics to detect anomalies and potential issues before they become problems.

Integrated Tools:
PrometheusGrafanaELK StackCloudWatch

Diagnostic Agent

Performs deep analysis of issues, correlates data from multiple sources, and provides detailed root cause analysis.

Integrated Tools:
kubectlsshaws-cligcloud

Remediation Agent

Proposes and executes fixes with human approval, ensuring safe and documented changes to your infrastructure.

Integrated Tools:
AnsibleTerraformHelmPuppet

Version Control Agent

Manages infrastructure as code, handles change tracking, and ensures all modifications are properly versioned.

Integrated Tools:
GitGitHubGitLabBitbucket

Deployment Agent

Coordinates with CI/CD pipelines and GitOps workflows to ensure smooth deployments and rollbacks when needed.

Integrated Tools:
ArgoCDJenkinsCircleCIGitHub Actions

Security Agent

Monitors security compliance, detects vulnerabilities, and ensures infrastructure follows best practices.

Integrated Tools:
TrivyFalcoOPASnyk

Documentation Agent

Maintains comprehensive records of all system interactions, infrastructure changes, and client preferences for continuous improvement.

Integrated Tools:
ConfluenceNotionMarkdownOpenAPI

Team Lead Agent

Reviews all proposed changes, assesses risks, and ensures solutions align with best practices and client requirements.

Integrated Tools:
Risk AssessmentChange ManagementSRE Practices

Cost Optimization Agent

Continuously analyzes resource usage and implements cost-saving measures while maintaining performance requirements.

Integrated Tools:
CloudHealthAWS Cost ExplorerKubecostSpot.io

Compliance Agent

Ensures infrastructure meets regulatory requirements and maintains compliance documentation.

Integrated Tools:
AWS ConfigAzure PolicyChef InSpecCheckov

Performance Agent

Monitors and optimizes system performance, identifying and resolving bottlenecks proactively.

Integrated Tools:
New RelicDatadogJProfilerArtillery

Backup & Recovery Agent

Manages data protection strategies and ensures business continuity through robust backup and recovery processes.

Integrated Tools:
VeleroResticAWS BackupVeeam

Intelligent Quality Control System

Our multi-layered verification system ensures every action is thoroughly validated before execution

Documentation System

Infrastructure preferences tracking
Change history analysis
Pattern recognition database
Real-time knowledge updates
Client communication logs
Best practices repository

Verification Process

01

Risk Assessment

Automated evaluation of potential impact

02

Compliance Check

Verification against security policies

03

Peer Review

Multi-agent validation of proposed changes

04

Final Approval

Human oversight for critical changes

Human-in-the-Loop Safety

While our AI excels at analysis and monitoring, human expertise remains central to our operation

Approval System

Critical changes require explicit human verification before execution

Expert Oversight

Our DevOps team monitors and guides AI decisions 24/7

Escalation Protocol

Clear procedures for complex scenarios requiring human expertise

AI-Powered Infrastructure Management

Connect your cloud platforms and let our AI handle everything from routine maintenance to complex troubleshooting.

Multi-Platform Integration

One AI agent to manage all your infrastructure.

  • Supports AWS, GCP, Azure, and Kubernetes
  • Unified management interface
  • Cross-cloud resource orchestration

Automated Troubleshooting

Proactive issue detection and resolution.

  • Real-time monitoring
  • Automated rollback system
  • Security vulnerability scanning

Smart Documentation

Never wonder what changed or why.

  • Auto-generated changelogs
  • Natural language querying
  • Historical configuration tracking

Change Management

Safe, automated infrastructure updates.

  • GitOps workflow integration
  • Automated canary deployments
  • Change approval workflows

24/7 Availability

Always-on infrastructure management.

  • Automated scaling policies
  • Cost-optimized resource allocation
  • Predictive maintenance

Infrastructure as Code

Version-controlled infrastructure management.

  • Terraform & Pulumi integration
  • Policy-as-code enforcement
  • Drift detection & correction

How It Works

Start automating your infrastructure management in three simple steps

1

Connect Your Infrastructure

Securely connect your cloud platforms and infrastructure with our easy-to-use integration system.

2

AI Analysis

Our AI learns your infrastructure patterns and starts monitoring for potential issues.

3

Automated Management

Let the AI handle routine tasks and troubleshooting while you focus on strategic initiatives.