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.
Multi-Cluster Command Center
Connect unlimited clusters with unified cross-cluster search, live log streaming, and synchronized metrics dashboards.
Built-in Chaos Engineering
Execute 12+ controlled resilience experiments including pod eviction, network latency, and memory saturation directly from the UI.
On-Device Diagnostic AI
Local intelligence analyzes pod crash loops, inspects event logs, and suggests remediation commands in plain language.
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
Part of the Olib AI Ecosystem
Every product we ship serves as concrete proof of the systems and architectures we build for clients.
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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.