Platform Administration Overview
The C3 AI Platform Administration Guide provides comprehensive documentation on how to manage, configure, and maintain your C3 AI cluster, environments, and applications.
This guide provides the following documentation on administering the C3 Agentic AI Platform:
- Cluster architecture
- Deployment options
- Cluster configuration options
- Cloud services
- Environment and application management and monitoring
- Troubleshooting
Cluster architecture
The C3 Agentic AI Platform architecture consists of a cluster, its environments, and its applications.
To learn about the C3 AI cluster, environment, and application architecture, see Overview of Cluster Architecture.
Deployment options
C3 AI offers C3 AI-managed or customer-managed cloud deployments on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
To learn about C3 AI-managed versus customer-managed deployment options, see C3 AI Supported Deployments.
Cluster configuration options
C3 Agentic AI Platform administrators can configure many cluster options, such as Kubernetes network and routing configurations, infrastructure resource allocation, identity provider (IdP) integrations, and more.
See the following documentation to learn about some cluster configuration options:
| Documentation Topic | Description |
|---|---|
| Kubernetes Networking Components for C3 AI Applications Overview | An overview of Kubernetes components that C3 AI applications use for networking purposes. |
| Manage Cloud Resources for Cluster Using the C3 AI Cluster Management Environment | How to perform cloud resource management, configure default settings, and use JSON templates to define specifications and metadata for cluster resources. |
| Use Hardware Profiles | About hardware profiles, which define allocated node pool resources such as CPUs, GPUs, memory, and networking capacity. |
| Prerequisites for C3 Agentic AI Platform Integration with Identity Providers | Concepts to understand, prerequisite tasks, and resources to integrate an identity provider (IdP) with the C3 Agentic AI Platform. |
| Default Cron Jobs | About default cron jobs in the C3 Agentic AI Platform and C3 AI Studio, how to enable them, and how to troubleshoot them. |
Cloud services
You can set up and configure various cloud services for the C3 Agentic AI Platform, such as C3 AI Studio, model registry, model inference services, and datastore services.
See the following documentation to learn more about cloud services in the platform:
| Documentation Topic | Description |
|---|---|
| Deploy C3 AI Studio | How to create a C3 AI Studio on a single node environment for on-premise and air-gapped clusters. |
| Model Registry Overview | An overview of model registry, which allows users to share models across environments and applications. |
| Overview of C3 AI Model Inference Service Administration | An overview of Model Inference Service, which hosts and serves large language models (LLMs), vision language models (VLMs), embedding models, or other large models. |
| Configure a Dedicated Cloud Service for a Datastore | How to configure a dedicated Cassandra or Postgres service for a datastore and customize your cloud service settings. |
| View Cloud Services and Manage Resources | How to view cloud services and manage compute resources. |
Environment and application management and monitoring
You can manage and monitor infrastructure resources.
See the following documentation to learn more about managing environments and applications:
| Documentation Topic | Description |
|---|---|
| Start and Stop an Application from the C3 AI Console | How to start, hibernate, and stop applications to ensure resource optimization. |
| Hibernate Environments and Applications | How to create and manage hibernation schedules to reduce costs and improve resource allocation. |
| Monitor Environment and Application Storage Utilization | How to monitor environment and application storage utilization using C3 AI Studio environment and application monitoring dashboards. |
| Monitor Applications and Services | How to monitor the health and activity of cloud services using the C3 AI Studio Admin monitoring dashboards. |
Troubleshooting
The C3 Agentic AI Platform offers various troubleshooting resources, such as OpenSearch integration.
See the following documentation to get started with troubleshooting resources:
| Documentation Topic | Description |
|---|---|
| Troubleshoot C3 AI Applications with Server Logs using OpenSearch | How to use the OpenSearch integration with the C3 Agentic AI Platform to search for, troubleshoot, and interpret server logs. |
| Use Config Auditing to debug cluster issues | How to enable and use Config Auditing, which you can use to query information about configuration changes. |
| Troubleshoot Environments and Applications in an Error State | How to move an environment or application out of a benign error state. |