Visual Canvas
Design infrastructure with nodes and connectors; instant validation.
Build visually, export Terraform, understand your stack, control costs, compare AI tools pricing, and operate Kubernetes with AgenticOps workflows end to end.
Visually design cloud infrastructure across AWS, GCP, Azure, and OCI. Generate clean Terraform, download a ready-to-use project, and let AI document and explain everything.
Design infrastructure with nodes and connectors; instant validation.
AWS • GCP • Azure • OCI.
Clean, validated Terraform files.
Project-ready structure.
Auto-generated and clear.
Plain-English insights.
Give us CPU, RAM, and storage, and CrftInfrai fetches matching instance types across AWS, GCP, Azure, and OCI with an at-a-glance cost breakdown.
AWS • GCP • Azure • OCI.
CPU/RAM requirements mapped to instance types.
Disk tiering and sizing options.
Hourly and monthly cost views.
Auto-ranked recommendations.
Provider pricing APIs.
Compare LLM, image, speech, and vector model pricing across providers before you integrate. Forecast usage and pick the right model for your budget.
Usage to monthly forecast.
Filter by provider and tier.
Compare token windows.
AI FinOps and Cloud FinOps together.
Generate Terraform from pre-built templates or describe what you need in natural language. The output includes a full setup with README and Explain My Infra.
Complete stacks, ready to go.
Any cloud, any supported resource.
Auto-generated and clear.
Plain-English insights.
Deterministic and validated.
AWS • GCP • Azure • OCI.
CrftInfrai AgenticOps brings named AI agents into Kubernetes, DevOps, SRE, GitOps, and platform operations. The platform detects incidents, analyzes root cause, generates remediation plans, requests approval when risk is high, creates GitOps changes, and verifies recovery.
Detects unhealthy pods, deployments, namespaces, nodes, and cluster-level degradation signals.
Performs RCA for ImagePullBackOff, CrashLoopBackOff, Pending pods, rollout failures, and scheduling issues.
Generates safe remediation plans with confidence scoring, risk checks, policy awareness, and approval readiness.
Coordinates controlled operational actions such as restart, rollback, scale, inspect, and workload-level execution.
Creates GitOps-ready changes and pull requests instead of directly mutating production workloads.
Tracks ArgoCD sync, drift, rollout state, application health, and post-change deployment status.
Plans Kubernetes upgrades with compatibility checks, pre-upgrade validation, risk analysis, and safer rollout paths.
Verifies whether remediation restored pod, deployment, namespace, service, and cluster health.
Adds approval gates, audit trail, risk scoring, production safeguards, and controlled remediation policies.
From Kubernetes incident to verified recovery with approval, GitOps, and auditability built in.
Detect unhealthy pods, degraded deployments, failed rollouts, node pressure, scheduling failures, and namespace issues.
Classify whether the issue is image-related, config-related, resource-related, rollout-related, network-related, or scheduling-related.
Generate an explainable remediation plan with evidence, confidence, risk score, and recommended next action.
Request human approval when the action is risky, production-impacting, destructive, or policy-sensitive.
Create pull requests for Kubernetes YAML, Helm, Kustomize, ArgoCD, or Terraform changes instead of direct mutation.
Verify that workload, deployment, namespace, service, and cluster health recovered after remediation.
Design visually, export Terraform, read auto-generated docs, compare multi-cloud and AI tool costs, and operate Kubernetes with AgenticOps workflows without context switching.