In DevelopmentDevOps
Kubernetes Client

Pod Control

Native Kubernetes client and kubectl alternative for Apple platforms

Pod Control is a native Kubernetes management client and kubectl alternative designed for macOS 15+, iOS 18+, iPadOS 18+, and visionOS 2+. It combines multi-cluster command center operations with an on-device AI assistant for cluster troubleshooting, built-in chaos engineering with 12+ experiment types, multi-cloud cost estimation across AWS, GCP, and Azure, full Helm lifecycle management, and direct database querying to PostgreSQL, Redis, and MySQL.

Deployment SpecHardware First
Supported PlatformsmacOS 15+, iOS 18+, iPadOS 18+, visionOS 2+
Cluster SupportEKS, GKE, AKS, k3s, Minikube, Kind, and bare-metal Kubernetes
ObservabilityReal-time log streaming, Prometheus query console, event timeline
Chaos Testing12+ experiment types with automated safety rollbacks
Zero Telemetry Standard:No marketing trackers, no remote analytics telemetry, and complete data ownership.
12+
Chaos Experiments
Pod termination, network latency injection, and CPU/memory stress testing.
4 Platforms
Universal Apple App
Native interface for macOS, iOS, iPadOS, and visionOS.
3 Clouds
Cost Estimation
Real-time infrastructure cost tracking and waste detection across AWS, GCP, and Azure.
100%
Offline Assistant
On-device diagnostic model explains cluster anomalies without cloud APIs.
Specifications verified from source build
Cluster Ops01

Multi-Cluster Command Center

Connect unlimited clusters with unified cross-cluster search, live log streaming, and synchronized metrics dashboards.

Resilience02

Built-in Chaos Engineering

Execute 12+ controlled resilience experiments including pod eviction, network latency, and memory saturation directly from the UI.

Troubleshooting03

On-Device Diagnostic AI

Local intelligence analyzes pod crash loops, inspects event logs, and suggests remediation commands in plain language.

Dev Tools04

Developer Tooling Suite

Includes an interactive PTY terminal, SSH tunnels, port forwarding, YAML diffing, and direct database queries.

Core Engineering Capabilities

Detailed feature checklist for Pod Control, designed and audited for stability in real operational environments.

Unified management across unlimited local, cloud, and edge Kubernetes clusters

On-device AI assistant for rapid cluster troubleshooting and plain-language log diagnosis

Chaos engineering suite with 12+ experiment types to verify cluster fault tolerance

Multi-cloud cost tracking across AWS, GCP, and Azure to highlight idle resources

Full Helm release lifecycle management with visual diffs and one-click rollback

Direct database query support for PostgreSQL, MySQL, Redis, MongoDB, and Elasticsearch

Custom Engineering

Need Pod Control customized for your enterprise?

Every capability in our products can be tailored and deployed inside your private infrastructure. You own the code, the models, and the data.