Get Started
This chapter provides materials for you to get started with Zilliz Cloud.
BYOC Overview [READ MORE]
Bring Your Own Cloud (BYOC) is a deployment option for organizations to host applications and data in their own cloud accounts instead of using Zilliz Cloud's infrastructure. This solution is ideal for organizations with specific security requirements or regulatory compliance needs that require maintaining full data control sovereignty.
Register with Zilliz Cloud [READ MORE]
This guide provides comprehensive instructions on how to create an account for accessing Zilliz Cloud services.
Deploy BYOC on AWS [READ MORE]
This page describes how to manually create a fully managed Bring-Your-Own-Cloud (BYOC) data plane in your AWS Virtual Private Cloud (VPC) using the Zilliz Cloud console and custom AWS configurations.
Deploy BYOC-I on AWS [READ MORE]
This page explains how to deploy a Bring-Your-Own-Cloud (BYOC) data plane with a BYOC agent in your AWS Virtual Private Cloud (VPC).
Deploy BYOC-I on Microsoft Azure [READ MORE]
This page explains how to deploy a Bring-Your-Own-Cloud (BYOC) data plane with a BYOC agent in your Microsoft Azure Virtual Network.
Deploy BYOC on GCP [READ MORE]
This page describes how to manually create a fully managed Bring-Your-Own-Cloud (BYOC) data plane in your Google Cloud Platform (GCP) Virtual Private Cloud (VPC) using the Zilliz Cloud console and custom GCP configurations.
Prepare for Cluster Connection [READ MORE]
All BYOC clusters are hosted entirely on your own virtual networks (AWS VPC, GCP VPC, or Microsoft Azure VNet) and do not have public endpoints. This guide explains the two approaches to connecting to these BYOC clusters.
Quickstart to CLI & Agent Integration [READ MORE]
This guide helps you set up Zilliz CLI and agent integrations locally. After setup, you can use your agent to operate Zilliz Cloud through natural language, or use the CLI directly in terminals, scripts, and CI workflows.
Quickstart to Serving Cluster [READ MORE]
A serving cluster is a self-contained server that combines both compute and storage for real-time production serving. Once you have cleaned your data through your Extract-Transform-Load (ETL) pipelines, you can import it into a serving cluster to deliver significant performance gains.
Concepts [READ MORE]
Explanations about the common terms we use when discussing how to use Zilliz Cloud.
Resource Planning [READ MORE]
Topics related to resource planning before you move your data to Zilliz Cloud.
Best Practices [READ MORE]
You can find articles on the best practices when using Zilliz Cloud.
Shared Responsibilities [READ MORE]
This page outlines the responsibilities of Zilliz Cloud and BYOC users to clarify the division of tasks related to cloud management, upgrades, security, access control, service availability, and technical support, ensuring smooth collaboration while maintaining a secure and efficient operation environment.
API & SDKs [READ MORE]
This chapter provides access to the procedure for using or installing RESTful API and SDKs and their reference docs.
MCP Server [READ MORE]
Zilliz Cloud provides an MCP server](https//github.com/zilliztech/zilliz-mcp-server/tree/master) that enables AI agents to interact with Zilliz Cloud seamlessly through the standardized [Model Context Protocol (MCP). This page guides you through setting up the Zilliz MCP Server locally and using it with your preferred AI agents.
Terraform Provider [READ MORE]
Zilliz offers a fully managed Milvus service, streamlining the deployment and scaling of vector search applications with security in mind, and eliminating the need to build and maintain complex infrastructure, including both the cloud infrastructure Zilliz provides and your own.