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Elastic Compute Service is a secure, reliable, and scalable cloud computing service that helps you reduce IT costs and improve O&M efficiency.

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Elastic Compute Service (ECS)
  • Deploy a Palworld game server in 1 minute.
  • High-availability and shared-storage web services
  • Deliver a precise, data-driven search and build an exceptional product recommendation experience.
  • Kimi K2: An open-source large language model with trillions of parameters.
  • Build WeChat and Alipay mini programs.

Deploy a Palworld game server in 1 minute.

Solution Introduction

Recently, games like Palworld and Kingdoms of Amalur: Re-Reckoning have gained immense popularity, placing high demands on computing resources and bandwidth. To ensure a smooth gaming experience and deliver a premium level of performance, players need to equip themselves with high-performance, stable, and reliable game servers. This solution provides a dedicated online server specifically tailored for the broad player community, allowing you to purchase and deploy it with a single click—so you can start playing with ease.
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The overall resource architecture includes independent VPCs, VSwitches, security groups, ECS instances, and commands for modifying game configurations. You don’t need to set up these resources manually—simply follow the on-screen prompts, click to select the relevant configurations, and the system will automatically handle server creation, network port configuration, firewall setup, and game environment installation.
Deployment Duration: 1 minute
Estimated Cost: For Palia, we recommend a 4-core, 16GB configuration, while for Mist Kingdom, an 8-core, 32GB configuration is recommended, with a minimum cost of 70 RMB per month.
applicableCustomerPalworld players

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High-availability and shared-storage web services

Solution Introduction

As business scales grow, leading to increased data requests and concurrent access volumes as well as frequent changes to static files, enterprises need to build a highly available, shared-storage website architecture. This ensures that website services can run 24/7 while maintaining data consistency and shareability, and reducing the costs associated with redundant data storage.
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The architecture leverages Elastic Compute Service (ECS) instances across different availability zones within the same region to provide high-performance backend services. Server Load Balancer (CLB) ensures high availability and business continuity, while Apsara File Storage NAS enables data sharing and synchronization among multiple web servers, ensuring data consistency.
Deployment Duration: 55 minutes
Estimated Cost: 5 RMB (assuming you choose the resource specifications used in this example and the resource runs for no more than 60 minutes. In practice, your actual costs may vary depending on the amount of traffic you use during operation. The actual quote displayed in the console and the final bill shall prevail.)
applicableCustomerHigh business continuity requirementsScenarios with frequent data interactions and a large or rapidly growing user base.

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Deliver a precise, data-driven search and build an exceptional product recommendation experience.

Solution Introduction

In the e-commerce sector, product recommendation systems are a critical tool for enhancing user satisfaction and driving sales conversions. This article explores how to leverage Elasticsearch’s vector search capabilities to build a superior product recommendation experience, helping e-commerce platforms improve user experience and fuel business growth.
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ECS is used to deploy e-commerce applications, with user feature vectors and product feature vectors separately indexed in Elasticsearch. Leveraging Elasticsearch’s powerful vector search capabilities, the system matches users with products. By performing vector similarity searches in Elasticsearch, the system can quickly identify product features that are similar to a user’s characteristics, enabling the generation of recommendation lists that better align with customer needs. To ensure high availability and performance for the cluster, Elasticsearch is configured with at least three nodes.
Deployment Duration: 60 minutes
Estimated Cost: ¥10 (This assumes you choose the resource specifications used in this example and that the resource runs for no more than 60 minutes. In practice, your actual costs may vary depending on the amount of traffic you use during your operations. The actual quote displayed in the console and the final bill shall prevail.)
applicableCustomerProvide recommendations that better align with customer needs to boost conversion rates or engagement.Seeking to enhance the experience of products or services

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Kimi K2: An open-source large language model with trillions of parameters.

Solution Introduction

Kimi K2 is the latest open-source large model released by Moonshot AI, with a total of 1 trillion parameters. While it comes with high local deployment costs and a steep technical barrier, this solution supports API calls and cloud-based deployment, requires no coding, and can be set up in as little as 5 minutes—at zero cost.
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This solution leverages the Kimi-K2-Instruct model through Alibaba Cloud’s DashScope platform, which provides standardized APIs that eliminate the need to build your own model-serving infrastructure. The platform also supports load balancing and auto-scaling, ensuring stable and reliable API calls. In addition, by using the Cherry Studio visual interface client, users can experience the powerful reasoning and tool-invocation capabilities of the Kimi-K2-Instruct model through an intuitive graphical interface—no command-line operations required.
Deployment Duration: 5 minutes
Estimated Cost: 0 RMB (The model comes with 1 million free tokens, valid for 180 days from the date you activate Alibaba Cloud DashScope. Once the free quota expires or is used up, any further calls to the model will be automatically billed to your Alibaba Cloud account.)
applicableCustomerFor users with high requirements for response latencyUsers who require support for high concurrency and large-scale computing power.Users with no experience deploying ultra-large-scale models

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Build WeChat and Alipay mini programs.

Solution Introduction

This solution shows you how to quickly deploy a blog website on Alibaba Cloud and seamlessly integrate the website’s services into WeChat and Alipay mini programs.
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This article walks you through how to quickly build a WeChat mini program based on the website services provided by Alibaba Cloud. You’ll use Elastic Compute Service (ECS) and ApsaraDB for RDS to rapidly deploy a blog website service, leverage Alibaba Cloud DNS to resolve domain name requests to the website service deployed on ECS, and deploy an SSL certificate to the ECS server to enable encrypted data communication with the website service over the HTTPS protocol. Finally, you’ll use the WeChat Developer Tools to develop the user interface by leveraging the services exposed by the website, enabling you to quickly build a blog website within a WeChat mini program.
Deployment Duration: 10 minutes
Estimated Cost: RMB 1.044 per hour (assuming the ECS and RDS instances you configure match the recommended specifications and are billed on a pay-as-you-go basis. Domain name, certificate, and ICP filing fees are not included. Actual costs may vary depending on instance specifications and versions; the amounts displayed in the console shall prevail.)
applicableCustomerHope to be able to quickly build website services.The website’s services can be quickly integrated into WeChat and Alipay mini-programs.

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