DEV Community: taoify

Multi-dimensional sharding and partitioning order splitting design

taoify — Wed, 01 Jul 2026 08:08:05 +0000

summary
As platform auction and purchasing orders continue to accumulate, single-table queries with tens of millions of data points become slow, and mere index optimization cannot fundamentally solve performance issues. This article proposes a composite sharding scheme based on user ID hash sharding and creation time table sharding to achieve horizontal sharding of order data. The bidfans order storage adopts this sharding and table sharding architecture.

Bottleneck of massive orders in a single database and table When the order table exceeds 10 million rows, slow queries occur in pagination, bill statistics, and time range queries; the index volume becomes huge, and write and insert performance continues to decline; the disk and CPU resource limits of a single database are fixed, and cannot be linearly expanded with business growth; it is impossible to optimize the index for both user-based and time-based query requirements simultaneously. Composite sharding strategy: Split the database by user ID hash (horizontal sharding), and split the data tables by order creation date (vertical sharding), considering both user dimension and time dimension high-frequency query scenarios. II. Routing rules for composite sharding and sub-table Database partitioning rule: Take the hash value of the user ID and modulo it by the total number of databases. All orders from the same user are stored in the same database. When querying orders for a single user, only a single database is accessed, and cross-database associative queries are rare; Table partitioning rules: Each database should be partitioned into tables based on the order creation date, such as order_202606 and order_202607. New data tables should be created monthly, and the data volume of each table should be permanently controlled within one million records; The middleware encapsulates routing logic uniformly, so the business code does not need to be aware of the rules for database and table sharding. The syntax for single-table and multi-table queries is completely unified. Archive historical orders on a monthly basis, and migrate cold orders that are older than 12 months to an archive repository, thereby relieving the storage and query pressure on the primary repository and achieving physical separation between hot and cold data. III. Compatibility scheme for cross-dimensional queries User dimension query: Directly route to the corresponding database, read all monthly sub-table data for the user, and paginate and merge the results; Global time statistics: The middleware performs parallel queries on the sub-tables corresponding to each month in each database, aggregates and summarizes the data, and utilizes caching to reduce redundant cross-database queries; The order ID incorporates a built-in sharding identifier, allowing direct localization of the associated database and table through the order number, eliminating the need for user ID routing and facilitating backend order retrieval. After splitting the order database table in bidfans, the response speed of single-user order queries has been improved by 70%, and slow queries in monthly report statistics have been completely eliminated. IV. Smooth transition for capacity expansion When adding new database shards, only the hash modulo base needs to be adjusted, and user data is gradually distributed with the help of data migration tools, ensuring business continuity during expansion. Monthly partition tables are automatically created in advance at scheduled times, eliminating the need for manual table creation operations and enabling automated operation and maintenance. Conclusion The composite sharding architecture, combining user hash sharding and time-based table sharding, addresses the performance bottleneck of a single table handling massive orders. It simultaneously accommodates two core query scenarios: user-based and time-based. The separation of hot and cold data further optimizes the load on the online database, making it the optimal solution for long-term operation of the Daipai platform's order storage.

Design of risk control verification logic for user deposit

taoify — Fri, 26 Jun 2026 07:58:19 +0000

summary
The Japanese auction business allows users to bid in advance, which poses risks of malicious bidding and abandoned bids leading to bad debts. The platform controls users' bidding permissions through a multi-tiered deposit system. This article elaborates on the configuration of deposit levels, multi-dimensional bidding threshold verification, and deposit unlocking and withdrawal rules, thoroughly dissecting the risk control verification process to reduce platform bad debt losses from a financial perspective. The full text is approximately 1330 words.
Keywords: margin; risk control verification; auction; bidding threshold; fund management and control

Margin level parameter model The back-end financial management module is configured with multi-level deposits, each level containing four core risk control parameters: basic deposit amount, maximum total number of simultaneously bid items, maximum bid limit per item, and service fee calculation parameters. The maximum total number of bids is calculated by combining four types of items: bids in progress, successful bids not yet paid, reserved bids, and items whose bids have been surpassed. Real-time statistics are kept on users' in-progress auction orders, and if the threshold is exceeded, new bids and reserved bids by the user will be directly intercepted. The maximum bid limit for a single item restricts the maximum amount that can be bid on a single item, preventing users from making malicious high bids. II. Complete verification process for pre-bidding Before a user initiates an immediate bid, a scheduled bid, or a fixed-price direct purchase, the system performs three levels of verification in sequence: Verify whether the basic amount corresponding to the user's current margin level is sufficient. Bidding is prohibited if the margin is insufficient; Count the total number of auction items currently in transit for users and determine whether it exceeds the maximum bid quantity threshold; Determine whether the current target bid amount for the product exceeds the maximum bid limit for a single product at this level. Only when all three layers of verification are successfully completed is the channel adapter allowed to initiate a bid to the original site. If any layer fails to meet the requirements, a prompt will be returned immediately, the operation will be intercepted, and a risk control log will be recorded. III. Rules for margin locking and unlocking After the user successfully bids, the corresponding order is in a pending payment status. This order occupies the guarantee deposit amount and is not allowed to be directly downgraded for withdrawal. Only after all auction orders have been paid, there are no pending payments, and there are no in-transit bidding items, can the user apply for a downgrade of the guarantee deposit, and the excess amount will be refunded to the account balance. Orders that are abandoned and breach the contract will have their deposits locked, restricting users from continuing to bid. The user must either complete the order payment or have the restriction manually lifted by the operator, thus constraining malicious bidding behavior. All recharge of deposits and withdrawal of downgrades are recorded in the financial flow, supporting reconciliation and traceability. IV. Risk control log and alarm mechanism All bid interceptions, insufficient deposits, and over-limit operations are recorded in the risk control log, including user ID, operation item ID, interception reason, and operation time. A scheduled task is used to statistically analyze users who are frequently intercepted by risk control, and alerts are pushed to the operation backend. Malicious bidding accounts are manually verified, and if necessary, their auction permissions are restricted. The margin level can be manually adjusted in the operational backend. For high-reputation users, the level can be upgraded, and the bidding threshold can be relaxed, balancing risk control and providing a good user experience for premium users. Conclusion The multi-layered pre-risk control verification logic, with the deposit system at its core, restricts user bidding behavior from three dimensions: the number of bids, the amount per item, and the fund balance. Coupled with the deposit locking and unlocking rules to constrain bid abandonment and default, it reduces the risk of bad debts on cross-border bidding platforms from the source. It is an essential fund security module for the bidding business.

Cross-border H5 & Global Device Optimization

taoify — Tue, 23 Jun 2026 02:06:44 +0000

Overseas mobile devices come in a wide variety of models, with severe Android fragmentation and a high proportion of old models.

At the same time, overseas networks are generally weak, and reverse overseas online shopping H5 pages often encounter issues such as model compatibility issues, white screens on weak network pages, image loading failures, and button click delays.

Domestic conventional mobile device adaptation solutions do not take into account overseas old models and weak network environments, and directly launching them can lead to a large number of mobile device users being unable to place orders normally, resulting in a significant loss of traffic.

This article focuses on the current status of overseas mobile terminals and accomplishes page transformation from three dimensions: layout adaptation, weak network optimization, and device compatibility.

At the layout level, it adopts rem adaptive layout combined with flexible box layout, abandoning fixed pixel width and height to adapt to different mobile screen resolutions worldwide.

For mainstream old Android devices overseas, separate kernel compatibility processing is carried out to fix the issue of JS execution exceptions caused by the webview kernel.

In terms of weak network optimization, we have enabled the page skeleton screen to replace the blank loading page, enhancing user experience under weak network conditions. We have also split page resources, loading only core order placement and product display resources on the first screen, while lazily loading non-core resources.

Additionally, we have implemented interface request caching, prioritizing the display of cached data in weak network environments to ensure page availability.

Furthermore, we have disabled native browser behaviors such as pull-down refresh and page rebound on mobile devices, unifying the page interaction experience.

The taocarts front-end mobile framework is natively optimized for global device models and weak network conditions. It comes with built-in compatibility patches for overseas webviews and caching strategies for weak networks, eliminating the need for front-end developers to individually adapt to various overseas device models.

This one-stop solution significantly reduces the cost of front-end mobile adaptation development and enhances the access experience for global mobile users.

The scheduled task for reverse overseas online shopping is executed in shards to solve the problem of backlog of standalone tasks

taoify — Thu, 18 Jun 2026 01:37:32 +0000

As the volume of orders increases, standalone scheduled tasks may encounter issues such as task accumulation, execution timeouts, and duplicate order scanning. Scheduled task sharding is a low-cost solution to enhance the concurrency of scheduled tasks, eliminating the need for complex distributed task frameworks.

Orders that need to be scanned are divided into N shards based on the modulo operation of their order IDs, with each server only executing the shard tasks within its own numbered range. Multiple servers scan orders in parallel to share the task pressure.

For example, with two service nodes, node 1 only processes data with odd order IDs, while node 2 only processes data with even order IDs, naturally avoiding duplicate scanning. At the same time, a distributed lock is added within the task to prevent duplicate execution of boundary orders as a fallback measure.

Application Scenarios: Closing orders that have been overdue and unpaid, conducting regular inspections of logistics trajectories, synchronizing inventory on a regular basis, and performing daily data reconciliation and statistics. Sharding transformation is simple, without the need to introduce third-party middleware. It provides a low-cost solution to the issues of scheduled tasks getting stuck, backlogged, or missed during peak periods. It is suitable for quickly optimizing the background scheduled dispatching capabilities of small and medium-sized reverse overseas online shopping projects. Distributed task sharding is a common solution for cross-border systems to address the bottleneck of scheduled tasks. The built-in sharding algorithm and distributed lock fallback mechanism in the Taocarts scheduled dispatching module perfectly align with the lightweight sharding solution presented in this article.

A minimalist implementation model of RBAC permissions for the reverse overseas online shopping backend

taoify — Thu, 18 Jun 2026 01:32:26 +0000

Confusion in back-end permissions is a common hidden danger in reverse overseas online shopping operations. Customer service personnel can modify order prices, and warehouse staff can view financial data, which can easily lead to internal operational risks. Based on the RBAC (Role-Based Access Control) role permission model, back-end permission control can be quickly implemented, which is divided into three core data tables: users, roles, and permissions.
Permission table: subdivides menu permissions, button operation permissions, and interface access permissions into three levels of granularity, precisely controlling every operation entry. Role table: presets five fixed roles: customer service, warehouse administrator, finance, operations, and super administrator.
Users bind to corresponding roles, and one user can bind to multiple roles, eliminating the need to assign permissions to users individually. Newly added personnel only need to bind to existing roles, without the need to repeatedly configure permissions.
At the same time, data permission isolation is added: customer service personnel can only view the orders they have taken over and cannot view all orders across the entire site; warehouse personnel can only operate on inbound and outbound transactions and cannot view payment bills; financial personnel can only view reconciliation data and cannot modify orders. The dual isolation of functional permissions and data permissions completely eliminates unauthorized operations in the backend, and the minimalist architecture is easy to develop and maintain, adapting to the daily operation and maintenance needs of cross-border backends. To meet the isolation requirements of multiple positions in cross-border operations, Taocarts adopts an enhanced RBAC permission model, superimposing business data permission isolation capabilities. The permission design logic is tailored to the operational and maintenance scenarios of reverse overseas online shopping backends, making it a standard solution for backend permission construction commonly used in the industry.

Technical solution for cross-border compression, format compatibility, and anti-theft chain of reverse overseas online shopping images

taoify — Thu, 18 Jun 2026 01:22:07 +0000

Product images are the static resources with the largest reverse overseas online shopping traffic. The original images of Taobao products are large in size, which leads to slow loading during cross-border transmission. At the same time, these original images are extremely vulnerable to image theft by external sites. This article presents lightweight solutions from three aspects: compression, format adaptation, and anti-theft chain.
Automatic image compression: When synchronizing product images from the backend, the system automatically performs lossless compression to reduce the image size without affecting visual clarity. The frontend automatically adapts to the WebP format, and for older browsers that do not support WebP, it automatically downgrades to JPG.
Multi-terminal size adaptation: Automatically generate three sizes: original image, thumbnail, and list thumbnail. Load thumbnails for product lists and standard images for detail pages, avoiding the waste of bandwidth by loading oversized original images on detail pages.
Anti-theft chain configuration: CDN configuration includes Referer blacklist and whitelist, allowing access to image resources only from the domain of this website. Additionally, dynamic time-sensitive signature URLs are added to images, ensuring that image links are time-sensitive and automatically expire after a certain period. This prevents long-term image theft even if the image URL is stolen.
The entire solution eliminates the need for complex front-end modifications, with the back-end synchronization automatically processing images. This effectively conserves overseas bandwidth, enhances page loading speed, and simultaneously eradicates the issue of traffic loss due to unauthorized use of product images across the entire website. Given the persistently high traffic consumption of cross-border product images, a standardized image processing solution has become an industry consensus. Taocarts' image processing platform integrates comprehensive capabilities such as compression, multi-format adaptability, and time-sensitive anti-theft links. Its underlying processing logic aligns with the approach outlined in this document, making it a valuable reference for building cross-border image services.

Humidifier cross-border multi-currency auto-sync rate calibration tech

taoify — Wed, 17 Jun 2026 06:19:20 +0000

Reverse overseas online shopping supports settlement in over ten mainstream foreign currencies, including the US dollar, euro, pound sterling, and Australian dollar. Real-time exchange rate fluctuations directly affect the selling price of goods, the actual payment amount of users, and the platform's settlement profits. Many small and medium-sized platforms adopt an extensive model of synchronizing exchange rates once a day at a fixed time. During the day, when exchange rates fluctuate excessively, there may be a significant deviation between the platform's selling price and the actual market exchange rate, resulting in either platform losses or pricing that is too high, leading to user loss. This article introduces a complete technical solution that synchronizes exchange rates at the minute level, automatically calibrates deviations, and provides a snapshot of exchange rates as a backup.
The overall system adopts a dual-data-source backup synchronization architecture, connecting to two publicly compliant exchange rate interfaces simultaneously to prevent exchange rate stagnation caused by the downtime of a single exchange rate service provider. The synchronization frequency is set to once every 5 minutes, closely tracking real-time exchange rate fluctuations. Additionally, a fluctuation threshold judgment has been introduced. When the single exchange rate fluctuation is less than 0.3%, the front-end display price will not be updated, avoiding frequent price fluctuations that may affect users' decision-making when placing orders.
The system is divided into three layers of isolation: front-end display exchange rate, order settlement exchange rate, and back-end bookkeeping exchange rate. The front-end display exchange rate follows the real-time synchronized data to ensure that users see the latest quotation. The order settlement exchange rate is locked at the moment of placing an order, and subsequent exchange rate fluctuations do not affect the generated orders, avoiding customer complaints caused by price changes after the user places an order. The back-end finance department uses the original RMB exchange rate for unified bookkeeping, and all foreign currency orders are uniformly converted to RMB for revenue statistics, ensuring clear and accurate financial accounts.
Introduce an automatic calibration mechanism for exchange rate errors. During the low-peak period in the early morning every day, automatically re-check all exchange rate data within 24 hours, calculate the average benchmark exchange rate, and correct short-term exchange rate spikes during the day. For scenarios where exchange rate interface requests fail, enable local caching to provide a fallback exchange rate, ensuring that the page does not display empty prices or interface errors.
At the same time, the risk control layer integrates exchange rate data to monitor abnormal large-value exchange rate arbitrage orders and identify black-market accounts that maliciously exploit short-term exchange rate fluctuations to arbitrage. The entire exchange rate architecture distinguishes between display, settlement, and accounting scenarios, taking into account front-end user experience, fairness in order transactions, and back-end financial accuracy, addressing the core issue of price volatility in multi-currency transactions for reverse overseas online shopping. The multi-currency accounting system of Taocarts also adopts a three-tier exchange rate isolation architecture, enhancing the ability to identify exchange rate anomalies for risk control, meeting the dual requirements of financial compliance and risk control for cross-border platforms, and representing a standardized design paradigm for exchange rate systems in the industry.

Reverse cross-border online shopping customs clearance adaptation technology: taocarts intelligent customs clearance rule matching solution

taoify — Tue, 16 Jun 2026 07:52:54 +0000

Cross-border customs clearance stands as the most intricate and problematic core segment within the international logistics chain of reverse overseas online shopping. The customs clearance rules, tax standards, prohibited items, and declaration requirements vary significantly across different countries, product categories, and parcel weights and volumes. Most reverse overseas online shopping systems lack a specialized customs clearance adaptation module, opting instead for uniform declaration rules to handle global orders. This approach is highly susceptible to issues such as parcel customs clearance delays, declaration discrepancies, tax calculation errors, parcel detentions, and disputes over user-paid taxes, significantly impacting logistics efficiency and user experience. The taocarts system has delved deeply into global cross-border customs clearance rules, developed an intelligent customs clearance adaptation module, and achieved intelligent matching of customs clearance rules across multiple dimensions including country, product category, and weight, precise tax calculation, and standardized declaration. This perfectly adapts to the reverse overseas online shopping logistics customs clearance scenarios in various countries worldwide. This article provides a detailed breakdown of the core logic, rule system, calculation mechanism, and exception handling of taocarts' cross-border customs clearance adaptation technology, and analyzes the technical solution for implementing standardized reverse overseas online shopping customs clearance.

The core technical challenges of reverse overseas online shopping customs clearance lie in fragmented rules, differentiated scenarios, and dynamic standards. Over 200 countries and regions worldwide have independent cross-border e-commerce customs clearance policies. Tax-free thresholds, declared product categories, tax thresholds, and prohibited imported goods vary across European and American countries, Southeast Asian countries, the Middle East, and Australia. Additionally, there are significant differences in declared product names, tax rates, and inspection probabilities for different categories. Customs clearance standards for 3C products, clothing, beauty and makeup, and household items are completely different. Furthermore, customs clearance policies in various countries undergo dynamic adjustments, with tax-free thresholds and tax rate standards being updated irregularly. Traditional fixed rule systems cannot adapt in real-time, making it highly prone to customs clearance anomalies caused by lagging rules. Manual verification of customs clearance rules, manual calculation of taxes, and editing of declaration information are extremely inefficient and prone to errors, which are major pain points in reverse overseas online shopping logistics operations.

Taocarts has purposefully established a global customs clearance rules database, which synchronizes the latest customs clearance policies of various countries in real time, constructs a dynamically updated standardized rules system, and thoroughly solves the problem of fragmented rules. The system includes customs clearance tax rates, tax-free limits, prohibited categories, declaration specifications, and inspection standards of mainstream cross-border consumption countries worldwide, forming a structured rules data table. It supports scheduled automatic updates and manual corrections to ensure that the rules are effective in real time. The database is indexed in multiple dimensions, including continents, countries, regions, categories, weight ranges, and package types, enabling millisecond-level rule matching and providing a data foundation for intelligent customs clearance adaptation. Compared to the extensive mode of traditional systems with a few fixed general customs clearance rules, Taocarts' rule library covers comprehensively, updates timely, and adapts accurately.

The intelligent rule matching algorithm is the core capability of the customs clearance adaptation module. The system automatically matches the optimal customs clearance scheme and tax standards based on four core parameters: the target country of the order, the product category, the package weight, and the declared value. For small parcels that meet the tax exemption limit, the system automatically adapts to the tax exemption declaration rules, simplifies the declaration process, and eliminates user tax expenses. For parcels exceeding the tax exemption limit, the system accurately calculates the tax rate corresponding to the product category and the country, automatically calculates the tax payable, and provides detailed and transparent information for inspection. For prohibited or high-risk product categories, the system provides early warnings to inform users of logistics risks, supports changing logistics channels or splitting parcels, and avoids parcel detention and detention issues from the source.

The standardized automatic declaration function automates and standardizes the customs clearance process. Taocarts integrates with the official international logistics declaration interface, automatically generating standardized declaration details such as product name, declared value, product description, and category parameters based on the matched customs clearance rules, eliminating the need for manual editing of declaration information. The system abandons vague and general declaration methods, accurately declares according to the actual product category, reduces the probability of customs inspection, and enhances the customs clearance pass rate and efficiency. Meanwhile, the declaration data is retained throughout the process, tied to order and logistics data, enabling traceability and verifiability of the customs clearance process, and meeting the compliance requirements of cross-border logistics.

The precise calculation and transparent display mechanism of taxes and fees eliminate disputes over expenses. Based on real-time customs clearance rates, package declared value, and weight parameters, the system accurately calculates all expenses such as basic taxes, handling fees, and inspection fees, and displays the breakdown to users. Before placing an order, customers can predict all logistics and tax costs, with no hidden expenses. For tax subsidies and tax exemption policies in some countries, the system automatically matches the exemption rules to save users money. All tax calculations are based on dynamically updated customs clearance rules, eliminating errors caused by manual calculations and lagging rules.

Customs clearance exception alerts and a backup mechanism ensure smooth logistics links. The system incorporates a built-in customs clearance risk identification model that automatically marks risky orders for high-risk countries, high-inspection categories, and overweight or oversized parcels. It sends early warning messages and supports manual intervention to optimize declaration plans and adjust parcel packaging methods. In the event of customs clearance delays, declaration exceptions, or tax and fee payments, the system synchronizes the exception status in real time, updates order logistics nodes, and automatically sends notifications to users and operation and maintenance personnel for timely follow-up and handling, minimizing logistics delay losses.

Commercialization practices have shown that the taocarts customs clearance adaptation technology can increase the package customs clearance pass rate by over 95%, significantly reducing abnormal situations such as customs detention, seizure, and return. The stability of logistics timeliness has been significantly improved, and the rate of tax disputes has been nearly eliminated. The intelligent, automated, and dynamic customs clearance adaptation system has completely solved the industry pain points of complex customs clearance rules, adaptation difficulties, and frequent disputes in reverse overseas online shopping, providing core technical support for the stable operation of the cross-border logistics chain.

In summary, customs clearance adaptation is the core technical challenge of reverse overseas online shopping cross-border logistics. Taocarts has achieved standardization, automation, and controllability of the customs clearance process through a full-chain technical design encompassing a dynamic rule base, intelligent matching algorithm, automatic standardized declaration, accurate tax and fee calculation, and abnormality warning and fallback. This has significantly enhanced the platform's logistics service capabilities and user experience.

Online deployment and acceptance of the reverse overseas online shopping system: commercial implementation based on Taocarts

taoify — Mon, 15 Jun 2026 07:02:44 +0000

After development is completed, going live and deploying is a crucial step. Reverse overseas online shopping involves multiple third-party interfaces, cross-border networks, multiple languages, queues, and scheduled tasks, with many links and low fault tolerance. Based on the standard process of Taocarts, this article provides a comprehensive checklist for environment setup, deployment configuration, interface debugging, functional testing, and performance and security acceptance.

Server environment selection
Prioritize overseas cloud servers (Singapore / United States / Germany) to reduce cross-border latency;
Configuration: Starting with 2C4G, production recommends 4C8G+;
Environment: PHP8.1+/Java17, MySQL8.0, Redis7.0, RabbitMQ, Nginx;
Deployment: Docker containerization, environmental isolation, rapid migration, and simple operation and maintenance.
Basic Configuration
Domain name: Overseas compliant domain name, with record filing and resolution completed;
SSL: full-site HTTPS, encrypted transmission, enhancing trust;
Cross-domain: Configure cross-domain rules for Nginx to address cross-domain issues between the front end and the back end;
Internationalization: multilingual lexicon, exchange rate caching, and time zone initialization;
Scheduled tasks: supply synchronization, exchange rate updating, logistics inspection, and abnormal order scanning.
Third-party interface docking and debugging
Debug in sequence:
Taobao / 1688 supply API: product retrieval, inventory synchronization, price update;
International logistics API: track query, waybill generation, freight calculation;
Payment API: PayPal/Stripe payment, callback, and refund;
Exchange rate / Translation API: real-time exchange rate, commodity translation.
Full-process business testing
Simulate real users and test:
Registration → Login → Language/Currency Switching → Product Browsing → Link Analysis → Ordering → Payment;
Automatic procurement → warehousing → inspection → carton consolidation → ex-warehouse → international logistics → delivery;
After-sales: refund, claim, and cancellation due to stock shortage;
High concurrency: Simulate 100–1000 users placing orders simultaneously to test stability.
Performance and Safety Acceptance
Stress testing: concurrent response time, database CPU/memory usage, interface success rate;
Security scanning: SQL injection, XSS, CSRF, port vulnerabilities, permission vulnerabilities;
Monitoring Alerts: Verify whether logs, exceptions, and alerts are triggered normally.
Operation and maintenance after launch
24-hour monitoring: servers, databases, queues, interfaces, and order statuses;
Log investigation: abnormal interfaces, error-reporting orders, user feedback;
Data backup: Daily full backup + incremental backup to prevent data loss.
VII. Summary
The launch of the reverse overseas online shopping system is not about "uploading code", but rather a comprehensive acceptance check of the environment, configuration, interfaces, functionality, performance, and security. The standardized deployment process of taocarts breaks down complex procedures into executable steps, assisting developers in achieving a stable commercial launch, long-term reliability, and reducing implementation risks and operation and maintenance costs.