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PyLabRobot is a vendor-agnostic, pure Python SDK designed for autonomous and automated laboratory workflows. It provides a unified interface to control a wide array of laboratory equipment, including liquid handling robots (Hamilton, Opentrons, Tecan), plate readers, pumps, shakers, and incubators. Ideal for developing complex, multi-device, reproducible protocols and simulating experiments before physical execution.

This guide outlines how to implement Google Cloud Identity-Aware Proxy (IAP) to enforce zero-trust, identity-based access control across various Google Cloud services (App Engine, Cloud Run, GKE, Compute Engine). It details configuring per-request authentication, context-aware policies (like device posture and location), and programmatic access management for highly secure internal applications.

A comprehensive guide to configuring secure OAuth 2.0 authorization flows, covering best practices for Authorization Code with PKCE, Client Credentials, and Device Authorization Grant. Learn how to implement mandatory security controls, manage token lifecycles, and align with OAuth 2.1 standards to build robust identity and access management systems.

This skill provides a comprehensive guide for designing and deploying Privileged Access Workstations (PAWs). It covers critical security controls such as device hardening, Zero Trust principles, and integrating Just-in-Time (JIT) access management. Learn how to enforce compliance using tools like Intune/GPO and secure credentials using leading PAM platforms like CyberArk or BeyondTrust, ensuring secure administrative operations.

PyLabRobot is a vendor-agnostic, pure Python SDK designed for controlling complex, autonomous laboratory workflows. It provides a unified interface to manage diverse equipment—including liquid handlers (Hamilton, Opentrons, Tecan), plate readers, pumps, and shakers—enabling users to simulate, develop, and execute reproducible, multi-device protocols across different operating systems.