2. DevOps & Infrastructure

Automates quality assurance through iterative checks, with built-in escalation paths and autonomous fix sub-agents for issue resolution.

Manages infrastructure deployment and operational configuration for the ikigai project's agent system.

Verifies synchronization status of Flux CD GitOps resources including Kustomizations, HelmReleases, and GitRepositories for deployment health checks.

Collects recent Kubernetes cluster events to identify warnings, errors, and state changes for infrastructure troubleshooting.

Creates new AI agents in a cluster via kubani-dev CLI for monitoring and automation project setup.

Scales Kubernetes deployments and statefulsets horizontally by adjusting replica counts to manage workload and resource usage.

Enables single-command deployment of agents and skills with real-time monitoring, health checks, and automatic rollback for seamless releases.

Checks node readiness, system pod health, and control plane components for Kubernetes cluster health monitoring.

Reverts an AI agent deployment to a previous version, enabling recovery from failed deployments or undoing recent changes.

Automates restarting Kubernetes pods stuck in CrashLoopBackOff to resolve transient container failure issues.

Analyzes cluster capacity, forecasts resource needs, and provides scaling recommendations for proactive infrastructure optimization and capacity planning.

Monitors CPU and memory usage across cluster nodes to detect resource pressure and maintain cluster health.

Checks Kubernetes deployment health by verifying desired replicas, available pods, and recent rollout status for operational verification.

Monitors Kubernetes pod resource consumption (CPU, memory) to identify and address excessive usage.

Diagnoses DNS configuration issues in Kubernetes pods, analyzing dnsPolicy, hostNetwork, and nameserver limits to resolve DNSConfigForming warnings.

Retrieves CPU and memory usage metrics for Kubernetes nodes and pods via metrics server, supporting capacity planning and resource diagnostics.

Monitors Temporal workflow orchestration health by verifying server pod status and identifying stuck or failed workflows in a cluster.

Diagnoses Kubernetes storage issues by checking PVC binding, storage class configuration, and volume mount status to resolve pending pods.

Automates application deployment via GitOps by updating Git manifests, triggering Flux reconciliation, and verifying deployments for safe, auditable releases.

Automates safe eviction of pods from a Kubernetes node for maintenance, respecting PodDisruptionBudgets and cordoning the node first.

Optimizes web performance by distributing rendering logic to edge nodes, minimizing TTFB and enabling personalized caching strategies.

Manages infrastructure workflows through a structured pipeline: exploration, planning, implementation, verification, and deployment.

Monitors system health and detects anomalies in real-time to ensure operational stability and performance.

Automates end-to-end deployment pipelines including validation, deployment, and monitoring for reliable software delivery.