pingcap · qiancai · Jan 21, 2026 · Jan 21, 2026 · Jan 21, 2026 · Jan 22, 2026
diff --git a/ai/explore-data-with-chat2query.md b/ai/explore-data-with-chat2query.md
@@ -1,6 +1,7 @@
 ---
 title: Explore Your Data with AI-Assisted SQL Editor
 summary: Learn how to use AI-assisted SQL Editor in the TiDB Cloud console, to maximize your data value.
+aliases: ['/tidbcloud/explore-data-with-chat2query']
 ---
 
 # Explore Your Data with AI-Assisted SQL Editor

diff --git a/ai/sql-proxy-account.md b/ai/sql-proxy-account.md
@@ -1,6 +1,7 @@
 ---
 title: SQL Proxy Account
 summary: Learn about the SQL proxy account in TiDB Cloud.
+aliases: ['/tidbcloud/sql-proxy-account']
 ---
 
 # SQL Proxy Account

diff --git a/ai/vector-search-auto-embedding-amazon-titan.md b/ai/vector-search-auto-embedding-amazon-titan.md
@@ -1,6 +1,7 @@
 ---
 title: Amazon Titan Embeddings
 summary: Learn how to use Amazon Titan embedding models in TiDB Cloud.
+aliases: ['/tidbcloud/vector-search-auto-embedding-amazon-titan/']
 ---
 
 # Amazon Titan Embeddings

diff --git a/ai/vector-search-auto-embedding-cohere.md b/ai/vector-search-auto-embedding-cohere.md
@@ -1,6 +1,7 @@
 ---
 title: Cohere Embeddings
 summary: Learn how to use Cohere embedding models in TiDB Cloud.
+aliases: ['/tidbcloud/vector-search-auto-embedding-cohere/']
 ---
 
 # Cohere Embeddings

diff --git a/ai/vector-search-auto-embedding-gemini.md b/ai/vector-search-auto-embedding-gemini.md
@@ -1,6 +1,7 @@
 ---
 title: Gemini Embeddings
 summary: Learn how to use Google Gemini embedding models in TiDB Cloud.
+aliases: ['/tidbcloud/vector-search-auto-embedding-gemini/']
 ---
 
 # Gemini Embeddings

diff --git a/ai/vector-search-auto-embedding-huggingface.md b/ai/vector-search-auto-embedding-huggingface.md
@@ -1,6 +1,7 @@
 ---
 title: HuggingFace Embeddings
 summary: Learn how to use HuggingFace embedding models in TiDB Cloud.
+aliases: ['/tidbcloud/vector-search-auto-embedding-huggingface/']
 ---
 
 # HuggingFace Embeddings

diff --git a/ai/vector-search-auto-embedding-jina-ai.md b/ai/vector-search-auto-embedding-jina-ai.md
@@ -1,6 +1,7 @@
 ---
 title: Jina AI Embeddings
 summary: Learn how to use Jina AI embedding models in TiDB Cloud.
+aliases: ['/tidbcloud/vector-search-auto-embedding-jina-ai/']
 ---
 
 # Jina AI Embeddings

diff --git a/ai/vector-search-auto-embedding-nvidia-nim.md b/ai/vector-search-auto-embedding-nvidia-nim.md
@@ -1,6 +1,7 @@
 ---
 title: NVIDIA NIM Embeddings
 summary: Learn how to use NVIDIA NIM embedding models in TiDB Cloud.
+aliases: ['/tidbcloud/vector-search-auto-embedding-nvidia-nim/']
 ---
 
 # NVIDIA NIM Embeddings

diff --git a/ai/vector-search-auto-embedding-openai.md b/ai/vector-search-auto-embedding-openai.md
@@ -1,6 +1,7 @@
 ---
 title: OpenAI Embeddings
 summary: Learn how to use OpenAI embedding models in TiDB Cloud.
+aliases: ['/tidbcloud/vector-search-auto-embedding-openai/']
 ---
 
 # OpenAI Embeddings

diff --git a/ai/vector-search-auto-embedding-overview.md b/ai/vector-search-auto-embedding-overview.md
@@ -1,6 +1,7 @@
 ---
 title: Auto Embedding Overview
 summary: Learn how to use Auto Embedding to perform semantic searches with plain text instead of vectors.
+aliases: ['/tidbcloud/vector-search-auto-embedding-overview/']
 ---
 
 # Auto Embedding Overview

diff --git a/ai/vector-search-changelogs.md b/ai/vector-search-changelogs.md
@@ -1,6 +1,7 @@
 ---
 title: Vector Search Changelogs
 summary: Learn about the new features, compatibility changes, improvements, and bug fixes for the TiDB vector search feature.
+aliases: ['/tidbcloud/vector-search-changelogs/']
 ---
 
 # Vector Search Changelogs

diff --git a/ai/vector-search-data-types.md b/ai/vector-search-data-types.md
@@ -1,6 +1,7 @@
 ---
 title: Vector Data Types
 summary: Learn about the Vector data types in TiDB.
+aliases: ['/tidb/stable/vector-search-data-types/','/tidb/dev/vector-search-data-types/','/tidbcloud/vector-search-data-types/']
 ---
 
 # Vector Data Types

diff --git a/ai/vector-search-full-text-search-python.md b/ai/vector-search-full-text-search-python.md
@@ -1,7 +1,7 @@
 ---
 title: Full-Text Search with Python
 summary: Full-text search lets you retrieve documents for exact keywords. In Retrieval-Augmented Generation (RAG) scenarios, you can use full-text search together with vector search to improve the retrieval quality.
-aliases: ['/tidb/stable/vector-search-full-text-search-python']
+aliases: ['/tidb/stable/vector-search-full-text-search-python/','/tidbcloud/vector-search-full-text-search-python/']
 ---
 
 # Full-Text Search with Python

diff --git a/ai/vector-search-full-text-search-sql.md b/ai/vector-search-full-text-search-sql.md
@@ -1,7 +1,7 @@
 ---
 title: Full-Text Search with SQL
 summary: Full-text search lets you retrieve documents for exact keywords. In Retrieval-Augmented Generation (RAG) scenarios, you can use full-text search together with vector search to improve the retrieval quality.
-aliases: ['/tidb/stable/vector-search-full-text-search-sql']
+aliases: ['/tidb/stable/vector-search-full-text-search-sql/','/tidbcloud/vector-search-full-text-search-sql/']
 ---
 
 # Full-Text Search with SQL

diff --git a/ai/vector-search-functions-and-operators.md b/ai/vector-search-functions-and-operators.md
@@ -1,6 +1,7 @@
 ---
 title: Vector Functions and Operators
 summary: Learn about functions and operators available for Vector data types.
+aliases: ['/tidb/stable/vector-search-functions-and-operators/','/tidb/dev/vector-search-functions-and-operators/','/tidbcloud/vector-search-functions-and-operators/']
 ---
 
 # Vector Functions and Operators

diff --git a/ai/vector-search-get-started-using-python.md b/ai/vector-search-get-started-using-python.md
@@ -1,6 +1,7 @@
 ---
 title: Get Started with TiDB + AI via Python
 summary: Learn how to quickly develop an AI application that performs semantic search using Python and TiDB Vector Search.
+aliases: ['/tidb/stable/vector-search-get-started-using-python/','/tidb/dev/vector-search-get-started-using-python/','/tidbcloud/vector-search-get-started-using-python/']
 ---
 
 # Get Started with TiDB + AI via Python

diff --git a/ai/vector-search-get-started-using-sql.md b/ai/vector-search-get-started-using-sql.md
@@ -1,6 +1,7 @@
 ---
 title: Get Started with Vector Search via SQL
 summary: Learn how to quickly get started with Vector Search in TiDB using SQL statements to power your generative AI applications.
+aliases: ['/tidb/stable/vector-search-get-started-using-sql/','/tidb/dev/vector-search-get-started-using-sql/','/tidbcloud/vector-search-get-started-using-sql/']
 ---
 
 # Get Started with Vector Search via SQL

diff --git a/ai/vector-search-hybrid-search.md b/ai/vector-search-hybrid-search.md
@@ -1,7 +1,7 @@
 ---
 title: Hybrid Search
 summary: Use full-text search and vector search together to improve the retrieval quality.
-aliases: ['/tidb/stable/vector-search-hybrid-search']
+aliases: ['/tidb/stable/vector-search-hybrid-search/','/tidbcloud/vector-search-hybrid-search/']
 ---
 
 # Hybrid Search

diff --git a/ai/vector-search-improve-performance.md b/ai/vector-search-improve-performance.md
@@ -1,6 +1,7 @@
 ---
 title: Improve Vector Search Performance
 summary: Learn best practices for improving the performance of TiDB Vector Search.
+aliases: ['/tidb/stable/vector-search-improve-performance/','/tidb/dev/vector-search-improve-performance/','/tidbcloud/vector-search-improve-performance/']
 ---
 
 # Improve Vector Search Performance

diff --git a/ai/vector-search-index.md b/ai/vector-search-index.md
@@ -1,6 +1,7 @@
 ---
 title: Vector Search Index
 summary: Learn how to build and use the vector search index to accelerate K-Nearest neighbors (KNN) queries in TiDB.
+aliases: ['/tidb/stable/vector-search-index/','/tidb/dev/vector-search-index/','/tidbcloud/vector-search-index/']
 ---
 
 # Vector Search Index

diff --git a/ai/vector-search-integrate-with-amazon-bedrock.md b/ai/vector-search-integrate-with-amazon-bedrock.md
@@ -1,6 +1,7 @@
 ---
 title: Integrate TiDB Vector Search with Amazon Bedrock
 summary: Learn how to integrate TiDB Vector Search with Amazon Bedrock to build a Retrieval-Augmented Generation (RAG) Q&A bot.
+aliases: ['/tidbcloud/vector-search-integrate-with-amazon-bedrock/']
 ---
 
 # Integrate TiDB Vector Search with Amazon Bedrock

diff --git a/ai/vector-search-integrate-with-django-orm.md b/ai/vector-search-integrate-with-django-orm.md
@@ -1,6 +1,7 @@
 ---
 title: Integrate TiDB Vector Search with Django ORM
 summary: Learn how to integrate TiDB Vector Search with Django ORM to store embeddings and perform semantic search.
+aliases: ['/tidb/stable/vector-search-integrate-with-django-orm/','/tidb/dev/vector-search-integrate-with-django-orm/','/tidbcloud/vector-search-integrate-with-django-orm/']
 ---
 
 # Integrate TiDB Vector Search with Django ORM

diff --git a/ai/vector-search-integrate-with-jinaai-embedding.md b/ai/vector-search-integrate-with-jinaai-embedding.md
@@ -1,6 +1,7 @@
 ---
 title: Integrate TiDB Vector Search with Jina AI Embeddings API
 summary: Learn how to integrate TiDB Vector Search with Jina AI Embeddings API to store embeddings and perform semantic search.
+aliases: ['/tidb/stable/vector-search-integrate-with-jinaai-embedding/','/tidb/dev/vector-search-integrate-with-jinaai-embedding/','/tidbcloud/vector-search-integrate-with-jinaai-embedding/']
 ---
 
 # Integrate TiDB Vector Search with Jina AI Embeddings API

diff --git a/ai/vector-search-integrate-with-langchain.md b/ai/vector-search-integrate-with-langchain.md
@@ -1,6 +1,7 @@
 ---
 title: Integrate Vector Search with LangChain
 summary: Learn how to integrate TiDB Vector Search with LangChain.
+aliases: ['/tidb/stable/vector-search-integrate-with-langchain/','/tidb/dev/vector-search-integrate-with-langchain/','/tidbcloud/vector-search-integrate-with-langchain/']
 ---
 
 # Integrate Vector Search with LangChain

diff --git a/ai/vector-search-integrate-with-llamaindex.md b/ai/vector-search-integrate-with-llamaindex.md
@@ -1,6 +1,7 @@
 ---
 title: Integrate Vector Search with LlamaIndex
 summary: Learn how to integrate TiDB Vector Search with LlamaIndex.
+aliases: ['/tidb/stable/vector-search-integrate-with-llamaindex/','/tidb/dev/vector-search-integrate-with-llamaindex/','/tidbcloud/vector-search-integrate-with-llamaindex/']
 ---
 
 # Integrate Vector Search with LlamaIndex

diff --git a/ai/vector-search-integrate-with-peewee.md b/ai/vector-search-integrate-with-peewee.md
@@ -1,6 +1,7 @@
 ---
 title: Integrate TiDB Vector Search with peewee
 summary: Learn how to integrate TiDB Vector Search with peewee to store embeddings and perform semantic searches.
+aliases: ['/tidb/stable/vector-search-integrate-with-peewee/','/tidb/dev/vector-search-integrate-with-peewee/','/tidbcloud/vector-search-integrate-with-peewee/']
 ---
 
 # Integrate TiDB Vector Search with peewee

diff --git a/ai/vector-search-integrate-with-sqlalchemy.md b/ai/vector-search-integrate-with-sqlalchemy.md
@@ -1,6 +1,7 @@
 ---
 title: Integrate TiDB Vector Search with SQLAlchemy
 summary: Learn how to integrate TiDB Vector Search with SQLAlchemy to store embeddings and perform semantic searches.
+aliases: ['/tidb/stable/vector-search-integrate-with-sqlalchemy/','/tidb/dev/vector-search-integrate-with-sqlalchemy/','/tidbcloud/vector-search-integrate-with-sqlalchemy/']
 ---
 
 # Integrate TiDB Vector Search with SQLAlchemy

diff --git a/ai/vector-search-integration-overview.md b/ai/vector-search-integration-overview.md
@@ -1,6 +1,7 @@
 ---
 title: Vector Search Integration Overview
 summary: An overview of TiDB vector search integration, including supported AI frameworks, embedding models, and ORM libraries.
+aliases: ['/tidb/stable/vector-search-integration-overview/','/tidb/dev/vector-search-integration-overview/','/tidbcloud/vector-search-integration-overview/']
 ---
 
 # Vector Search Integration Overview

diff --git a/ai/vector-search-limitations.md b/ai/vector-search-limitations.md
@@ -1,6 +1,7 @@
 ---
 title: Vector Search Limitations
 summary: Learn the limitations of the TiDB vector search.
+aliases: ['/tidb/stable/vector-search-limitations/','/tidb/dev/vector-search-limitations/','/tidbcloud/vector-search-limitations/']
 ---
 
 # Vector Search Limitations

diff --git a/ai/vector-search-overview.md b/ai/vector-search-overview.md
@@ -1,6 +1,7 @@
 ---
 title: Vector Search Overview
 summary: Learn about Vector Search in TiDB. This feature provides an advanced search solution for performing semantic similarity searches across various data types, including documents, images, audio, and video.
+aliases: ['/tidb/stable/vector-search-overview/','/tidb/dev/vector-search-overview/','/tidbcloud/vector-search-overview/']
 ---
 
 # Vector Search Overview

diff --git a/best-practices/_index.md b/best-practices/_index.md
@@ -1,6 +1,7 @@
 ---
 title: TiDB Best Practices
 summary: Learn the best practices for deploying, configuring, and using TiDB effectively.
+aliases: ['/tidb/stable/best-practices/','/tidb/dev/best-practices/']
 ---
 
 # TiDB Best Practices

diff --git a/best-practices/ddl-introduction.md b/best-practices/ddl-introduction.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for DDL Execution in TiDB
 summary: Learn about how DDL statements are implemented in TiDB, the online change process, and best practices.
+aliases: ['/tidb/stable/ddl-introduction/','/tidb/dev/ddl-introduction/','/tidbcloud/ddl-introduction/']
 ---
 
 # Best Practices for DDL Execution in TiDB

diff --git a/best-practices/grafana-monitor-best-practices.md b/best-practices/grafana-monitor-best-practices.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for Monitoring TiDB Using Grafana
 summary: Best Practices for Monitoring TiDB Using Grafana. Deploy a TiDB cluster using TiUP and add Grafana and Prometheus for monitoring. Use metrics to analyze cluster status and diagnose problems. Prometheus collects metrics from TiDB components, and Grafana displays them. Tips for efficient Grafana use include modifying query expressions, switching Y-axis scale, and using API for query results. The platform is powerful for analyzing and diagnosing TiDB cluster status.
+aliases: ['/tidb/stable/grafana-monitor-best-practices/','/tidb/dev/grafana-monitor-best-practices/']
 ---
 
 # Best Practices for Monitoring TiDB Using Grafana

diff --git a/best-practices/haproxy-best-practices.md b/best-practices/haproxy-best-practices.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for Using HAProxy in TiDB
 summary: HAProxy is a free, open-source load balancer and proxy server for TCP and HTTP-based applications. It provides high availability, load balancing, health checks, sticky sessions, SSL support, and monitoring. To deploy HAProxy, ensure hardware and software requirements are met, then install and configure it. Use the latest stable version for best results.
+aliases: ['/tidb/stable/haproxy-best-practices/','/tidb/dev/haproxy-best-practices/']
 ---
 
 # Best Practices for Using HAProxy in TiDB

diff --git a/best-practices/high-concurrency-best-practices.md b/best-practices/high-concurrency-best-practices.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for High-Concurrency Writes
 summary: This document provides best practices for handling highly-concurrent write-heavy workloads in TiDB. It addresses challenges and solutions for data distribution, hotspot cases, and complex hotspot problems. The article also discusses parameter configuration for optimizing performance.
+aliases: ['/tidb/stable/high-concurrency-best-practices/','/tidb/dev/high-concurrency-best-practices/']
 ---
 
 # Best Practices for High-Concurrency Writes

diff --git a/best-practices/index-management-best-practices.md b/best-practices/index-management-best-practices.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for Managing Indexes and Identifying Unused Indexes
 summary: Learn the best practices for managing and optimizing indexes, identifying and removing unused indexes in TiDB.
+aliases: ['/tidb/stable/index-management-best-practices/','/tidb/dev/index-management-best-practices/']
 ---
 
 # Best Practices for Managing Indexes and Identifying Unused Indexes

diff --git a/best-practices/massive-regions-best-practices.md b/best-practices/massive-regions-best-practices.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for Tuning TiKV Performance with Massive Regions
 summary: TiKV performance tuning involves reducing the number of Regions and messages, increasing Raftstore concurrency, enabling Hibernate Region and Region Merge, adjusting Raft base tick interval, increasing TiKV instances, and adjusting Region size. Other issues include slow PD leader switching and outdated PD routing information.
+aliases: ['/tidb/stable/massive-regions-best-practices/','/tidb/dev/massive-regions-best-practices/']
 ---
 
 # Best Practices for Tuning TiKV Performance with Massive Regions

diff --git a/best-practices/multi-column-index-best-practices.md b/best-practices/multi-column-index-best-practices.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for Optimizing Multi-Column Indexes
 summary: Learn how to use multi-column indexes effectively in TiDB and apply advanced optimization techniques.
+aliases: ['/tidb/stable/multi-column-index-best-practices/','/tidb/dev/multi-column-index-best-practices/']
 ---
 
 # Best Practices for Optimizing Multi-Column Indexes

diff --git a/best-practices/pd-scheduling-best-practices.md b/best-practices/pd-scheduling-best-practices.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for PD Scheduling
 summary: This document summarizes PD scheduling best practices, including scheduling process, load balancing, hot regions scheduling, cluster topology awareness, scale-down and failure recovery, region merge, query scheduling status, and control scheduling strategy. It also covers common scenarios such as uneven distribution of leaders/regions, slow node recovery, and troubleshooting TiKV nodes.
+aliases: ['/tidb/stable/pd-scheduling-best-practices/','/tidb/dev/pd-scheduling-best-practices/']
 ---
 
 # Best Practices for PD Scheduling

diff --git a/best-practices/readonly-nodes.md b/best-practices/readonly-nodes.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for Read-Only Storage Nodes
 summary: This document introduces configuring read-only storage nodes for isolating high-tolerance delay loads from online services. Steps include marking TiKV nodes as read-only, using Placement Rules to store data on read-only nodes as learners, and using Follower Read to read data from read-only nodes.
+aliases: ['/tidb/stable/readonly-nodes/','/tidb/dev/readonly-nodes/']
 ---
 
 # Best Practices for Read-Only Storage Nodes

diff --git a/best-practices/saas-best-practices.md b/best-practices/saas-best-practices.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for Handling Millions of Tables in SaaS Multi-Tenant Scenarios
 summary: Learn best practices for TiDB in SaaS (Software as a Service) multi-tenant scenarios, especially for environments where the number of tables in a single cluster exceeds one million.
+aliases: ['/tidb/stable/saas-best-practices/','/tidb/dev/saas-best-practices/']
 ---
 
 # Best Practices for Handling Millions of Tables in SaaS Multi-Tenant Scenarios

diff --git a/best-practices/three-dc-local-read.md b/best-practices/three-dc-local-read.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for Local Reads in Three-Data-Center Deployments
 summary: TiDB's three data center deployment model can cause increased access latency due to cross-center data reads. To mitigate this, the Stale Read feature allows for local historical data access, reducing latency at the expense of real-time data availability. When using Stale Read in geo-distributed scenarios, TiDB accesses local replicas to avoid cross-center network latency. This is achieved by configuring the `zone` label and setting `tidb_replica_read` to `closest-replicas`. For more information on performing Stale Read, refer to the documentation.
+aliases: ['/tidb/stable/three-dc-local-read/','/tidb/dev/three-dc-local-read/']
 ---
 
 # Best Practices for Local Reads in Three-Data-Center Deployments

diff --git a/best-practices/three-nodes-hybrid-deployment.md b/best-practices/three-nodes-hybrid-deployment.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for Three-Node Hybrid Deployment
 summary: TiDB cluster can be deployed in a cost-effective way on three machines. Best practices for this hybrid deployment include adjusting parameters for stability and performance. Limiting resource consumption and adjusting thread pool sizes are key to optimizing the cluster. Adjusting parameters for TiKV background tasks and TiDB execution operators is also important.
+aliases: ['/tidb/stable/three-nodes-hybrid-deployment/','/tidb/dev/three-nodes-hybrid-deployment/']
 ---
 
 # Best Practices for Three-Node Hybrid Deployment

diff --git a/best-practices/tidb-best-practices.md b/best-practices/tidb-best-practices.md
@@ -1,6 +1,7 @@
 ---
 title: TiDB Best Practices
 summary: This document summarizes best practices for using TiDB, covering SQL use and optimization tips for OLAP and OLTP scenarios, with a focus on TiDB-specific optimization options. It also recommends reading three blog posts introducing TiDB's technical principles before diving into the best practices.
+aliases: ['/tidb/stable/tidb-best-practices/','/tidb/dev/tidb-best-practices/']
 ---
 
 # TiDB Best Practices

diff --git a/best-practices/uuid.md b/best-practices/uuid.md
@@ -1,6 +1,7 @@
 ---
 title: Best Practices for Using UUIDs as Primary Keys
 summary: UUIDs, when used as primary keys, offer benefits such as reduced network trips, support in most programming languages and databases, and protection against enumeration attacks. Storing UUIDs as binary in a `BINARY(16)` column is recommended. It's also advised to avoid setting the `swap_flag` with TiDB to prevent hotspots. MySQL compatibility is available for UUIDs.
+aliases: ['/tidb/stable/uuid/','/tidb/dev/uuid/','/tidbcloud/uuid/']
 ---
 
 # Best Practices for Using UUIDs as Primary Keys

diff --git a/develop/_index.md b/develop/_index.md
@@ -1,7 +1,7 @@
 ---
 title: Developer Guide Overview
 summary: Introduce the overview of the developer guide for TiDB Cloud and TiDB Self-Managed.
-aliases: ['/tidbcloud/dev-guide-overview/','/tidb/dev/dev-guide-overview/']
+aliases: ['/tidb/stable/dev-guide-overview/','/tidb/dev/dev-guide-overview/','/tidbcloud/dev-guide-overview/']
 ---
 
 # Developer Guide Overview

diff --git a/develop/dev-guide-aws-appflow-integration.md b/develop/dev-guide-aws-appflow-integration.md
@@ -1,6 +1,7 @@
 ---
 title: Integrate TiDB with Amazon AppFlow
 summary: Introduce how to integrate TiDB with Amazon AppFlow step by step.
+aliases: ['/tidb/stable/dev-guide-aws-appflow-integration/','/tidb/dev/dev-guide-aws-appflow-integration/','/tidbcloud/dev-guide-aws-appflow-integration/']
 ---
 
 # Integrate TiDB with Amazon AppFlow

diff --git a/develop/dev-guide-bi-looker-studio.md b/develop/dev-guide-bi-looker-studio.md
@@ -1,6 +1,7 @@
 ---
 title: Connect to TiDB Cloud with Looker Studio
 summary: Learn how to connect to TiDB Cloud using Looker Studio.
+aliases: ['/tidbcloud/dev-guide-bi-looker-studio/']
 ---
 
 # Connect to TiDB Cloud with Looker Studio

diff --git a/develop/dev-guide-bookshop-schema-design.md b/develop/dev-guide-bookshop-schema-design.md
@@ -1,6 +1,7 @@
 ---
 title: Bookshop Example Application
 summary: Bookshop is an online bookstore app for buying and rating books. You can import table structures and data via TiUP or TiDB Cloud. Method 1 uses TiUP to quickly generate and import sample data, while Method 2 imports data from Amazon S3 to TiDB Cloud. The database tables include books, authors, users, ratings, book_authors, and orders. The database initialization script `dbinit.sql` creates the table structures for the Bookshop application.
+aliases: ['/tidb/stable/dev-guide-bookshop-schema-design/','/tidb/dev/dev-guide-bookshop-schema-design/','/tidbcloud/dev-guide-bookshop-schema-design/']
 ---
 
 # Bookshop Example Application