SOLUTIONS
Platform Engineering
Give engineers self-service infrastructure without giving up control.
Changefy provides an AI operations layer across cloud, Kubernetes, CI/CD, infrastructure-as-code, and internal developer platforms.
Kubernetes
- Troubleshoot unhealthy pods
- Investigate CrashLoopBackOff
- Diagnose scheduling problems
- Investigate failed deployments
- Scale workloads
- Restart workloads
- Modify CPU and memory limits
- Investigate ingress failures
- Troubleshoot service connectivity
- Diagnose persistent volume problems
- Investigate cluster capacity
- Troubleshoot DNS within clusters
- Investigate node health
- Validate deployments after changes
CI/CD
- Investigate failed pipelines
- Diagnose build failures
- Troubleshoot deployment failures
- Identify environment-specific failures
- Analyze pipeline logs
- Retry approved jobs
- Roll back deployments
- Validate releases
- Troubleshoot credentials and permissions
- Investigate failed deployment gates
Infrastructure as code
- Investigate Terraform failures
- Analyze planned infrastructure changes
- Identify destructive changes
- Review infrastructure pull requests
- Detect risky modifications
- Validate proposed changes against policy
- Require approval for high-risk infrastructure changes
- Analyze blast radius
- Verify infrastructure after deployment
- Investigate state drift
- Detect configuration drift between code and environment
Developer environments
- Provision infrastructure
- Configure development environments
- Create approved cloud resources
- Modify existing environments
- Troubleshoot developer access
- Investigate environment drift
- Repair broken development environments
- Configure application dependencies
- Troubleshoot connectivity between services
GitHub and software delivery governance
- Analyze pull requests
- Identify infrastructure impact
- Flag high-risk changes
- Require approval before destructive changes
- Enforce operational policies
- Identify potential production impact
- Evaluate blast radius
- Review AI-generated infrastructure changes
- Prevent unsafe changes from being merged
- Verify infrastructure after deployment
- Capture evidence linking requests, approvals, commits, and execution
Platform operations
- Troubleshoot shared platform services
- Investigate developer platform outages
- Diagnose service catalog failures
- Repair platform integrations
- Investigate provisioning failures
- Validate platform dependencies
- Standardize operational workflows
- Automate repeatable platform maintenance
EXAMPLE REQUESTS
- “Why is this Kubernetes deployment stuck?”
- “Review this Terraform PR and tell me whether it is safe to deploy.”
- “Create a staging environment that matches our standard platform template.”
- “Migrate this cluster's autoscaling config to the new platform template, staged across every environment.”
ONE OPERATING MODEL ACROSS EVERY SOLUTION
Every solution runs on the same governed loop.
- InvestigateChangefy connects to the systems involved and gathers the information required to understand the request or incident.
- DiagnoseIt correlates infrastructure state, telemetry, configuration, and recent changes to determine the likely root cause.
- PlanChangefy produces a clear execution plan: actions, affected resources, risk, blast radius, dependencies, rollback, maintenance requirements, and verification checks.
- ReviewHumans remain in control. Teams can approve, request changes, reject, require peer review, restrict execution scope, or enforce organizational policy.
- ExecuteOnce authorized, Changefy performs the approved actions using connected systems and controlled execution runners.
- VerifyChangefy checks whether the requested outcome actually occurred. It does not assume success because an API returned 200.
- AuditEvery investigation, plan, approval, action, and verification result is retained as evidence.
AI proposes. Humans authorize.
Changefy executes. The system proves the result.