google-cloud-memorystore is the official client library for the Memorystore API.

Dataproc Metastore is a fully managed, highly available within a region, autohealing serverless Apache Hive metastore (HMS) on Google Cloud for data analytics products. It supports HMS and serves as a critical component for managing the metadata of relational entities and provides interoperability between data processing applications in the open source data ecosystem.

A unified platform that helps you accelerate your end-to-end cloud journey from your current on-premises or cloud environments to Google Cloud.

Google Cloud NetApp Volumes is a fully-managed, cloud-based data storage service that provides advanced data management capabilities and highly scalable performance with global availability.

Network Connectivity is Google's suite of products that provide enterprise connectivity from your on-premises network or from another cloud provider to your Virtual Private Cloud (VPC) network.

The Network Management API provides a collection of network performance monitoring and diagnostic capabilities.

The client library for the Google Network Security V1beta1 API.

google-cloud-network_services is the official client library for the Network Services API.

AI Platform Notebooks makes it easy to manage JupyterLab instances through a protected, publicly available notebook instance URL. A JupyterLab instance is a Deep Learning virtual machine instance with the latest machine learning and data science libraries pre-installed.

Cloud Optimization API provides a portfolio of solvers to address common optimization use cases starting with optimal route planning for vehicle fleets.

The Oracle Database@Google Cloud API provides a set of APIs to manage Oracle database services, such as Exadata and Autonomous Databases.

The client library for the Cloud Composer API, built on the popular Apache Airflow open source project. Cloud Composer is a fully managed workflow orchestration service, enabling you to create, schedule, monitor, and manage workflows that span across clouds and on-premises data centers.

The Cloud Org Policy service provides a simple mechanism for organizations to restrict the allowed configurations across their entire Cloud Resource hierarchy.

Cloud OS Config provides OS management tools that can be used for patch management, patch compliance, and configuration management on VM instances.

google-cloud-parallelstore is the official client library for the Parallelstore API.

Parameter Manager is a single source of truth to store, access and manage the lifecycle of your workload parameters. Parameter Manager aims to make management of sensitive application parameters effortless for customers without diminishing focus on security.

Policy Simulator is a collection of endpoints for creating, running, and viewing a [Replay][google.cloud.policysimulator.v1.Replay]. A `Replay` is a type of simulation that lets you see how your members' access to resources might change if you changed your IAM policy. During a `Replay`, Policy Simulator re-evaluates, or replays, past access attempts under both the current policy and your proposed policy, and compares those results to determine how your members' access might change under the proposed policy.

Policy Troubleshooter makes it easier to understand why a user has access to a resource or doesn't have permission to call an API. Given an email, resource, and permission, Policy Troubleshooter will examine all IAM policies that apply to the resource. It then reveals whether the member's roles include the permission on that resource and, if so, which policies bind the member to those roles.

With Private Catalog, developers and cloud admins can make their solutions discoverable to their internal enterprise users. Cloud admins can manage their solutions and ensure their users are always launching the latest versions.

## Overview Privileged Access Manager (PAM) is a Google Cloud native, managed solution to secure, manage and audit privileged access while ensuring operational velocity and developer productivity. PAM enables just-in-time, time-bound, approval-based access elevations, and auditing of privileged access elevations and activity. PAM lets you define the rules of who can request access, what they can request access to, and if they should be granted access with or without approvals based on the sensitivity of the access and emergency of the situation. ## Concepts ### Entitlement An entitlement is an eligibility or license that allows specified users (requesters) to request and obtain access to specified resources subject to a set of conditions such as duration, etc. entitlements can be granted to both human and non-human principals. ### Grant A grant is an instance of active usage against the entitlement. A user can place a request for a grant against an entitlement. The request may be forwarded to an approver for their decision. Once approved, the grant is activated, ultimately giving the user access (roles/permissions) on a resource per the criteria specified in entitlement. ### How does PAM work PAM creates and uses a service agent (Google-managed service account) to perform the required IAM policy changes for granting access at a specific resource/access scope. The service agent requires getIAMPolicy and setIAMPolicy permissions at the appropriate (or higher) access scope - Organization/Folder/Project to make policy changes on the resources listed in PAM entitlements. When enabling PAM for a resource scope, the user/ principal performing that action should have the appropriate permissions at that resource scope (resourcemanager.{projects|folders|organizations}.setIamPolicy, resourcemanager.{projects|folders|organizations}.getIamPolicy, and resourcemanager.{projects|folders|organizations}.get) to list and grant the service agent/account the required access to perform IAM policy changes.