Quick Starts

Deploy custom Alibaba Cloud solutions for business-critical scenarios with Quick Start templates.

Overview

Alibaba Cloud offers Quick Start templates that allow you to easily deploy custom solutions for business-critical scenarios such as cloud migration, data analysis and containers, in a fast, reliable, secure, and cost-efficient way. Every Quick Start is a deployable architecture that comes equipped with JSON and YAML templates that automate the deployment, as well as a list of relevant prerequisites, procedures, and resources.

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Solution & Scenarios

Set Up Database Caching with Redis for RDS MySQL

This template sets up database caching with Redis for RDS MySQL with a simple method. You can directly use the Terraform script for a quick start and follow our detailed guides to complete the entire process.

Use Kafka and Canal to Set Up Data Synchronization between Redis and MySQL

This template sets up the data synchronization between Redis and MySQL with Message Queue for Apache Kafka and Canal. You can directly use the provided template for a quick start and follow our detailed guide to set up, test, and verify the data synchronization.

Building an Auto Scaling WordPress Website on Alibaba Cloud

This template builds an auto scaling WordPress website on Alibaba Cloud, which automatically adjusts the compute capacity in response to traffic fluctuations and helps you maintain a balance between performance and cost with scaling rules. You can directly use the Terraform script for a quick start and follow our detailed guide to complete the entire process.

Deploy MongoDB Instances in Multiple Regions

This template deploys MongoDB instance in two regions. MongoDB in one of the two regions works as the main business data source where the applications write data, and MongoDB in the other region mainly reads and synchronizes data from the main business region. You can directly use the Terraform script for a quick start and follow our detailed guide to complete the entire process.

Automatic Deployment of S/4 HANA 1909 on a Single ECS Instance in a New VPC

This template creates cloud resources such as VPC, VSwitch, ECS instance, and security group in a zone and deploys the S/4 HANA 1909 application on an ECS instance and the HANA database on another ECS instance.

Automatic Deployment of S/4 HANA 1909 on a Single ECS Instance in an Existing VPC

This template uses an existing VPC and VSwitch to create cloud resources such as ECS instances and security groups in a zone and deploys the S/4 HANA 1909 application on an ECS instance and the HANA database on another ECS instance.

Use the Apsara AI Acceleration Tool in Hybrid Cloud Scenarios

This template demonstrates how to run AI training and inference jobs in hybrid cloud scenarios. This template uses a Kubernetes cluster, a GPU instance, the Apsara AI acceleration tool, and Cloud Paralleled File System (CPFS).

Migrate a Hive Data Warehouse to an Alibaba Cloud E-MapReduce Cluster

This solution uses ROS to create an on-premises Hadoop cluster and migrate the cluster data to an Alibaba Cloud E-MapReduce cluster.

Use a Low-cost Link to Migrate Business Data to the Cloud

This template applies to the migration of business data to the cloud. Migrating large amounts of business data to the cloud requires a lot of network bandwidth, incurring high Border Gateway Protocol (BGP) costs. Alibaba Cloud allows you to purchase single-line shared bandwidth packages in the required regions, which can effectively reduce costs for data migration. The packages are divided by ISPs such as China Mobile, China Unicom, and China Telecom.

Use Batch Compute for Third-generation Genome Sequencing and Assembly

This template demonstrates the best practices of using the WDL-Canu solution provided by Batch Compute to conduct third-generation genome assembly.

Use Lightweight GPU Instances to Deploy Cloud Games

With the widespread application of AI in scenarios such as deep learning, video processing, scientific computing, and graphic visualization, the market demand for GPU instances is growing. However, the problem of excess computing power and rising costs caused by ultra-large-scale elastic computing starting out with a single physical GPU is becoming increasingly prominent. The emergence of lightweight GPUs has broken the limitations of the traditional pass-through mode. A lightweight GPU can provide finer-grained services than a physical GPU, allowing customers to conduct business more flexibly at lower costs.

Use Function Compute to Build a Web-based File Processing Service

This template uses a serverless architecture to build a web-based file processing service. After you upload a file to a specified OSS bucket or update the file by using the relevant API, SDK, or Alibaba Cloud console, the file can be automatically compressed and decompressed, and file metadata such as the MD5 checksum value can be automatically obtained.

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